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Bachelor's Degree in Computer Engineering

Companies seek professionals who understand the impact of new technologies on the business world. UAX trains you to become that professional and add value to the company from your very first day on the job. + Certificate in Business & Product Innovation

50% tuition aid until April 30

Start September

Length Credits 4 years / 270 ECTS

Language English / Spanish

Modality Campus-based / Online

Faculty Business & Tech

Programme information

Why UAX
Programme
Professional opportunities
Scholarships and grants

Why study Computer Engineering at UAX?

What will you learn in Computer Engineering?

Digital transformation is redefining industries, creating a need for professionals who can understand new technologies and apply them strategically to business.

The curriculum of UAX’s Computer Engineering Degree stands out for integrating essential technological knowledge with two key areas: data analytics and fundamental training in business disciplines such as finance, marketing and product innovation.

Comprehensive training in programming, advanced operating systems, advanced analytics and business
700 hours of training on emerging technologies and their impact on business
Real-world innovation projects with companies
Disruptive thinking, communication and leadership training
Progressive bilingual model with opportunities for internships and placements in strategic global markets

+ Data, Coding and Web Engineering Certificate by

Real-world innovation projects with companies

Information about the Computer Engineering Degree

Curriculum

Degree in Computer Engineering

First Year

ANNUAL SUBJECTS

Code

Subjects

Character*

ECTS

C0141415

Communication in a Foreign Language 1

Código: C0141415 Imprimir

Course 1: First-term module. Foundation course. 6 credits.

Profesores

Luis Orlando Poulter Rodríguez - Coordinador
Rania Darrag N/A

Objectives

To acquire the necessary skills in existing methods to reach a B1–B2 level, with particular emphasis on individual expression (spoken and written), the communicative process (speaking and listening), the correct use of spoken and written language (accuracy, coherence and appropriateness, lexical accuracy, spelling, vocabulary, pronunciation and creativity) and reading texts (reading, comprehension and critical thinking). Students will also be given an initial introduction to technical English in the field of engineering. They will be familiarised with basic technical vocabulary and introduced to B1–B2-level texts within the scope of their degree programme.

Learning outcomes

RK15 Is familiar with the terminology and styles characteristic of oral and written communication in English within the fields of computing and technology.

Course description

The content of this module is designed to enable students to acquire the skills in reading comprehension, listening comprehension, oral production and written production that will allow them to function effectively in a professional context in a foreign language, preferably English.

The course will cover a combination of basic English, including the study and refinement of language use in various everyday contexts, and technical English, involving the study of vocabulary and concepts specific to different fields of specialisation.

Contents:

Unit 1 Systems

Vocabulary / Technology

1.1: Safety equipment • telecoms

1.2: Telecoms • satellites

1.3: Instructional verbs • marine • mechanics

Grammar / Discourse

1.1: Cohesion

1.2: Relative pronouns

1.3: Present simple • imperative

Unit 2 Processes

Vocabulary / Technology

2.1: Applications of plastics

2.2: Process verbs

2.3: Process verbs, related nouns • gerunds

Grammar / Discourse

2.1: ‘will’ for predictions

2.2: Present simple passive

2.3: Phrases used to refer to a visual

Unit 3 Events

Vocabulary / Technology

3.1: Aerospace • mechanics

3.2: Spacecraft LAS system

3.3: Noun suffixes • semi-technical vocabulary

Grammar / Discourse

3.1: Present perfect v past simple • First and second conditional

3.2: Time clauses

3.3: Sequence markers

Unit 4 Careers

Vocabulary / Technology

4.1: Terms used in a CV

4.2: Semi-technical vocabulary • biomedical

4.3: Employment

Grammar / Discourse

4.1: Present continuous for present and future • going to

4.2: Comparative • conjunctions

4.3: Present perfect v past simple • for, since, ago

Unit 5 Safety

Vocabulary / Technology

5.1: Control and warning systems

5.2: Maintenance • automotive

5.3: Navigation • air traffic

Grammar / Discourse

5.1: Discussion markers

5.2: Active and passive modals

5.3: unless • present participle

Unit 6 Planning

Vocabulary / Technology

6.1: Deadlines • energy • environment

6.2: Nouns expressing actions • causal suffixes • fuel processing

6.3: Energy • power generation

Grammar / Discourse

6.1: Future modals

6.2: due to, owing to, because (of), as a result of, caused by

6.3: Section markers in a talk

Unit 7 Reports

Vocabulary / Technology

7.1: Reporting verbs • security

7.2: Electrical

7.3: Electrical, electronics

Grammar / Discourse

7.1: Reported speech

7.2: Past continuous

7.3: Discourse markers

Unit 8 Projects

Vocabulary / Technology

8.1: Installation, transport, oil extraction

8.2: Construction • active / passive adjectives

8.3: General words with technical meanings • oil drilling

Grammar / Discourse

8.1: Present perfect and past simple passive

8.2: Cohesion • by (means of) • (in order) to

8.3: Phrases to check understanding

Unit 9 Design

Vocabulary / Technology

9.1: Automotive • electrical

9.2: Shapes • architectural

9.3: Technical drawing

Grammar / Discourse

9.1: Modifying comparatives

9.2: Modifying superlatives

9.3: Complex noun phrases

Unit 10 Disasters

Vocabulary / Technology

10.1: Damage • structural engineering

10.2: Civil engineering

10.3: Report headings

Grammar / Discourse

10.1: Modals + perfect infinitive: must/may/can’t have

10.2: Third conditional • should/shouldn’t have

10.3: Grammar associated with report sections

Learning activities

P1 Lecture

P2 Interactive lessons

P4 Project work

P5 Independent study

P6 Tutorials

P7 Assessments.

Assessment system and criteria

The assessment process will be carried out with the aim of achieving the learning outcomes set out in the course description.

The assessments carried out will evaluate the four language skills: reading, listening, writing and speaking (reading comprehension, listening comprehension, written expression and oral expression).

These assessments will consist of:

• Writing tasks.

• Written tests comprising multiple-choice questions, true or false questions, fill-in-the-blank exercises and questions requiring answers.

• Reading and reading comprehension exercises.

• Vocabulary and grammar exercises (with particular emphasis on vocabulary specific to the subject area covered in class).

• Completing and presenting assignments.

• Listening comprehension tests.

• Oral expression tests.

The various assessed tests will be organised as follows:

1. CONTINUOUS ASSESSMENT

Five written tests covering the content of units 1–10. Each test will assess students’ knowledge in four areas: Listening, Reading, Grammar and Terminology. Two oral tests (one in groups and one individually) will also be held on a different date to the written tests.

Weighting of written assessments throughout the academic year:

- Written tests (5): 65%

- Oral tests (1): 15%

- Classwork: 5%

- Tutor’s assessment: 5%

- UAX SKill School: Introduction to Public Speaking: 10%

Each of the 5 written assessments will consist of exercises in:

Listening Comprehension

Vocabulary and specific terminology

Reading Comprehension

Grammar or Linguistic Structures

The topic of the oral presentation, which may be undertaken individually and/or in pairs, will be agreed in advance with the teacher.

The dates of these assessments will be announced in advance by the teacher. They will take place in the usual classroom, unless the teacher specifies otherwise at the time.

IMPORTANT

1) It is essential to sit ALL the assessment tests scheduled during the Continuous Assessment period. It follows that any student who fails to sit any of the mid-term tests, WILL LOSE THE RIGHT TO CONTINUOUS ASSESSMENT AND WILL BE REQUIRED TO SIT THE REGULAR EXAMINATION COVERING 100% OF THE COURSE, subject to the assessment criteria specified for that examination session.

2) If a minimum mark of 5 has been obtained in the oral presentation assessment as part of the continuous assessment, this mark will be retained for the ordinary and/or supplementary examination sessions.

3) The mark for the written examination will not be carried over in either case.

4) The final mark will be calculated according to the percentages mentioned above. The continuous assessment may be failed if the result of the calculation, when combined with the other assessments, is below 5. In this case, the student would have to sit the course examination in the June ordinary examination period, with the mark counting for 75 per cent (if they have a mark of at least 5 in the oral component of the continuous assessment and decide to carry it over to June) or for 100 per cent of the course mark.

5) Students must achieve a mark of 3.5 or above in the written assessments and 5 in the oral assessments in order to have their mark calculated as part of the continuous assessment average.

6) Students with a final average mark of 5 or above in continuous assessment will pass the module via the continuous assessment system.

2. REGULAR EXAM SESSION WITHOUT CONTINUOUS ASSESSMENT AND SUPPLEMENTARY EXAM SESSION

2.1 Examinations:

Students who are to be assessed on 100 per cent of the course content must sit the final examination in June and/or July. The assessment criteria in this case shall be as follows:

Written exam: 75%

Oral examination: 25%

The written exam will cover the same skills as those outlined above for students on the continuous assessment scheme.

The oral examination will consist of an individual or pair presentation, as specified by the lecturer at the time. Details regarding the format of the presentation will be provided during the academic year.

If a minimum mark of 5 has been achieved in the oral examination, this mark will be retained for the supplementary examination, if necessary, should the student so request.

It is the student’s responsibility to find out about classrooms, dates and times.

Type of examination

2.1.1 Written exam

The written exam will include questions on listening comprehension, vocabulary, reading comprehension and grammar.

The mark for the written exam will not be carried over to the resit session under any circumstances.

2.1.2 Oral exam

This may be conducted individually or in pairs, as indicated at the time. It will consist of a dialogue on a given topic related to engineering. Each student will prepare their dialogue in advance, following the guidelines provided in class or via the course portal.

Oral examinations may be recorded to facilitate marking if the student requests this.

Timetable

Click on this link to view the detailed timetable in Excel

Session	Activity	Description	Assessment
1	SM	Course introduction and assessment criteria.
2	SM	Unit 1. Systems pp. 4–5. Section 1 – Rescue
3	SM	Unit 1. Systems pp. 6–7. Section 2 – Transmission
4	SM	Unit 1. Systems pp. 8–9. Section 3 – Operation + Workbook Exercises Section 1 (p. 4), Exercises Section 2 (p. 5), and Exercises Section 3 (pp. 6–7)
5	SM	Unit 2. Processes pp. 10–11. Section 1 – Future shapes
6	SM	Unit 2. Processes pp. 12–13. Section 2 – Solid shapes
7	SM	Unit 2. Processes pp. 14–15. Section 3 – Hollow shapes + Workbook Exercises Section 1 (p. 8), Exercises Section 2 (p. 9), and Exercises Section 3 (pp. 10–11)
8	SM	Review Unit A (Units 1 & 2) – pp. 16–17 – Activities 1–5
9	SM	Review Unit A (Units 1 & 2) – pp. 18–19 – Activities 6–14
10	EV	Written Test on Units 1 & 2	10%
11	SM	Unit 3. Events pp. 20–21. Section 1 – Conditions
12	SM	Unit 3. Events pp. 22–23. Section 2 – Sequence (1)
13	SM	Unit 3. Events pp. 24–25. Section 3 – Sequence (2) + Workbook Exercises Section 1 (p. 14), Exercises Section 2 (p. 15), and Exercises Section 3 (pp. 16–17)
14	SM	Unit 4. Careers pp. 26–27. Section 1 – Engineer
15	SM	Unit 4. Careers pp. 28–29. Section 2 – Inventor
16	SM	Unit 4. Careers pp. 30–31. Section 3 – Interview + Workbook Exercises Section 1 (p. 18), Exercises Section 2 (p. 19), and Exercises Section 3 (pp. 20–21)
17	SM	Review Unit B (Units 3 & 4) – pp. 32–33. Activities 1–7
18	SM	Review Unit B (Units 3 & 4) – pp. 34–35. Activities 8–15
19	EV	Written Test on Units 3 & 4	10%
20	SM	Unit 5. Safety pp. 36–37. Section 1 – Warnings
21	SM	Unit 5. Safety pp. 38–39. Section 2 – Instructions
22	SM	Unit 5. Safety pp. 40–41. Section 3 – Rules + Workbook Exercises Section 1 (p. 24), Exercises Section 2 (p. 25), and Exercises Section 3 (pp. 26–27)
23	SM	Unit 6. Planning pp. 42–43. Section 1 – Schedules
24	SM	Unit 6. Planning, pp. 44–45. Section 2 – Causes
25	SM	Unit 6. Planning pp. 46–47. Section 3 – Systems + Workbook Exercises Section 1 (p. 28), Exercises Section 2 (p. 29), and Exercises Section 3 (pp. 30–31)
26	SM	Review Unit C (Units 5 & 6) – pp. 48–49. Activities 1–6
27	SM	Review Unit C (Units 5 & 6) – pp. 50–51. Activities 7–13
28	EV	Written Test on Units 5 & 6	10%
29	SM	Unit 7. Reports pp. 52–53. Section 1 – Statements
30	SM	Unit 7. Reports pp. 54–55. Section 2 – Incidents
31	SM	Unit 7. Reports pp. 56–57. Section 3 – Progress + Workbook Exercises Section 1 (p. 34), Exercises Section 2 (p. 35), and Exercises Section 3 (pp. 36–37)
32	SM	Unit 8. Projects pp. 58–59. Section 1 – Spar
33	SM	Unit 8. Projects pp. 60–61. Section 2 – Platform
34	SM	Unit 8. Projects pp. 62–63. Section 3 – Drilling + Workbook Exercises Section 1 (p. 38), Exercises Section 2 (p. 39), and Exercises Section 3 (pp. 40–41)
35	SM	Review Unit D (Units 7 & 8) – pp. 64–67. Activities 1–13
36	EV	Written Test on Units 7 & 8	10%
37	SM	Unit 9. Design – pp. 68–69. Section 1 – Inventions
38	SM	Unit 9. Design – pp. 70–71. Section 2 – Buildings
39	SM	Unit 9. Design – pp. 72–73. Section 3 – Sites + Workbook Exercises Section 1 (p. 44), Exercises Section 2 (p. 45), and Exercises Section 3 (pp. 46–47)
40	SM	Unit 10. Disasters – pp. 74–55. Section 1 – Speculation
41	SM	Unit 10. Disasters – pp. 76–77. Section 2 – Investigation
42	SM	Unit 10. Disasters – pp. 78–79. Section 3 – Reports + Workbook Exercises Section 1 (p. 48), Exercises Section 2 (p. 49), and Exercises Section 3 (pp. 50–51)
43	SM	Review Unit E (Units 9 & 10) – pp. 80–83. Activities 1–14
44	SM	Unit 11. Materials – pp. 84–85. Section 1 – Equipment
45	SM	Unit 11. Materials – pp. 86–87. Section 2 – Properties (1)
46	SM	Unit 11. Materials – pp. 88–89. Section 3 – Properties (2) + Workbook Exercises Section 1 (p. 54), Exercises Section 2 (p. 55), and Exercises Section 3 (pp. 56–57)
47	SM	Unit 12. Opportunities – pp. 90–91. Section 1 – Threats
48	SM	Unit 12. Opportunities – pp. 92–93. Section 2 – Innovation
49	SM	Unit 12. Opportunities – pp. 94–95. Section 3 – Priorities + Workbook Exercises Section 1 (p. 58), Exercises Section 2 (p. 59), and Exercises Section 3 (pp. 60–61)
50	SM	Review Unit F (Units 11 & 12) – pp. 96–99. Activities 1–11
51	SM	How to give a presentation
52	SM	How to give a presentation
53	EV	Written Test on Units 9–10	25%
54	EV	Written Test on Units 11–12
55	EV	Oral Tests: Basic technical English skills – Oral presentations
56	EV	Oral Tests: Basic technical English skills – Oral presentations
57	EV	Oral Tests: Basic technical English skills – Oral presentations
58	EV	Oral Tests: Basic technical English performances – Oral presentations	25%
59	EV	Student’s classwork (participation, engagement, interest, initiative, etc.)	5%
60	EV	Teacher’s assessment

Bibliography

Core:

1. Chris Jacques

Technical English, 2nd Edition, Level 3 Workbook

Pearson. 2022.

ISBN: 9781292424521

2. David Bonamy

Technical English, 2nd Edition, Level 3 Course Book

Pearson. 2022.

ISBN: 9781292424484

Supplementary:

3.- Virginia Evans and Jenny Dooley

It’s Grammar Time 4

Express Publishing. 2017.

ISBN: 9781471538100

TOTAL:

FIRST FOUR-MONTH PERIOD

Code

Subjects

Character*

ECTS

C0141412

Physics

Código: C0141412 Imprimir

Course 1: First-term module. Foundation course. 6 credits.

Profesores

Eduardo Gurría García - Coordinador
Rodrigo Vicente de Miguel de Juan
Víctor Enguita Vileta

Objectives

To become familiar with, understand and master the following basic concepts of physics: scalar and vector fields, electrostatics, electric current, magnetic fields, electromagnetic induction, circuit analysis, physical phenomena related to the operation of computers and their peripherals, semiconductor devices, bipolar transistors and field-effect transistors. Fundamentals of integrated circuits.

Prerequisites

No prerequisites have been set.

Learning Outcomes

RK2 – Understanding and mastery of the basic concepts of fields and waves and electromagnetism, electrical circuit theory, electronic circuits, the physical principles of semiconductors and logic families, electronic and photonic devices, and their application to solving engineering problems.

RS1 – Ability to solve mathematical problems that may arise in engineering.

Course description

General content covered by the module:

Scalar and vector fields, Electrostatics, Electric current, Magnetic fields, Electromagnetic induction, Circuit analysis, Physical phenomena related to the operation of computers and their peripherals, Semiconductor devices, Bipolar transistors and Field-effect transistors, Fundamentals of integrated circuits

Topic 1: VECTOR ANALYSIS.

Definition of a vector. Elementary operations with vectors. Scalar fields. Vector fields.

Topic 2: ELECTROSTATICS.

Coulomb’s law. Electric field. Gauss’s theorem. Electric potential. Potential energy. Conductors and dielectrics. Capacitors. Capacitance.

Topic 3: MAGNETIC FIELD.

Magnetic induction. Magnetic force. Ampère’s law. Magnetic induction. Faraday’s law. Self-induction and mutual inductance. Magnetic energy.

Topic 4: CIRCUIT ANALYSIS.

Direct current analysis: Kirchhoff’s laws, Kennelly’s equations, the mesh method, Thevenin’s and Norton’s theorems.

Alternating current analysis: Time constants of RC, RL and RLC circuits. Impedance. Admittance. Phasors.

Topic 5: SEMICONDUCTORS.

Band theory for solids. Properties of semiconductors. Extrinsic and intrinsic semiconductors. p-n junction. Junction diode. Applications.

Topic 6: TRANSISTORS

Bipolar transistor. Field-effect transistor. Applications. Fundamentals of integrated circuits.

Training activities

P1 Lectures

P2 Interactive classes

P3 Workshop and/or laboratory activities

P4 Preparation of assignments or projects and problem-solving

P5 Independent study, case studies or problem-solving, literature reviews

P6 Assessments 

P7 Tutorials

Assessment system and criteria

Without prejudice to any other requirements that may be specified in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment during the standard examination period. In this case, the examination to be held during the official period set by the University will be the sole assessment criterion, with the weighting specified in the course syllabus.

----

The final mark consists of a theory component and a practical component.

The theory component will account for 60% of the final mark:

1st mid-term exam: 30%

2nd mid-term exam: 30%

The laboratory mark (40%) will be calculated as the average of the marks for each of the practical sessions.

Students must sit the final assessment if:

They have not achieved a minimum mark of 4/10 in either of the two mid-term exams.

They have achieved a mark higher than 4 in one of the exams, but their average is below 5/10.

They have not submitted any of the laboratory practicals.

They have submitted all the practicals, but their average mark is below 5/10.

If a student has passed one of the two parts but failed the other, they will only sit that part of the final exam in the ordinary examination session.

Access to continuous assessment will only be possible if the student has achieved 70% attendance; if this level is not reached, the student must sit the entire module in both the ordinary and supplementary examination sessions.

C0141413

Computer Science 1

Código: C0141413 Imprimir

Course 1: First-term module. Foundation course. 6 credits.

Profesores

Marta Beatriz García García - Coordinador	Ver biodata Senior Forestry Engineer from the Polytechnic University of Madrid and PhD in Forestry Engineering from the same university. She currently holds the position of Head of Studies of the Degree in Computer Engineering at the Universidad Alfonso X el Sabio, a position she has held since 2021, and has had an extensive teaching and university management career at this institution since the late 1990s, where she has worked as a lecturer, subject coordinator and head of teaching units. Her professional profile combines university teaching with academic management and participation in applied research projects. She has previously collaborated with institutions such as the Polytechnic University of Madrid, the Complutense University of Madrid and the CSIC, as well as with the Tragsa Group, where she carried out technical and coordination functions in environmental education and territorial management projects. Her research activity has focused on areas related to sustainability, territorial planning, environmental impact assessment, energy efficiency, rural development and the use of geographic information systems. She has participated as principal researcher and collaborator in various competitive projects funded by public administrations, foundations and private entities, and has produced scientific output in the form of articles in specialist journals, books, book chapters and contributions to national conferences. Her career reflects a clear orientation towards the application of technical and scientific knowledge to sustainable development, environmental management and teaching innovation in the university environment.
Rosa María Alvarez Diaz
Antonio José Reinoso Peinado	Ver biodata Doctor by the Universidad Rey Juan Carlos and Computer Engineering. Professor of the Degree in Computer Engineering (Faculty of Business and Tech.) and the Degree in Aerospace Engineering (EPS) at the University Alfonso X El Sabio for more than 20 years. Computer Engineer and Master in Free Software. Accredited by the Agency of Quality, Accreditation and Prospective of the Com. of Madrid (ACAP) for the figures of Prof. Contracted Doctor and Prof. Doctor of Private Univ. He has been Head of Studies of the higher grade training cycles of the Technology area of the FP/UAX Centre . He has directed several doctoral theses and currently collaborates in research projects in the UAX Foundation. He is also the author of several books, specialised articles and other publications in journals and at national and international conferences.
Carlos Yubero Delgado	Ver biodata Graduate in Video Game Design and Development and has experience in programming, creation of 2D and 3D content and development of interactive environments and applications for mobile devices. His profile provides a technological dimension that is especially valuable in degrees linked to biomedical engineering, where visualisation, simulation, programming and digital modelling are increasingly important tools for teaching innovation and the development of applied solutions. He has worked on projects for companies in the sector and as a freelance professional, also collaborating with 3D modelling companies. His career combines creative and technical skills with programming and digital development competences that enrich technological and interdisciplinary training environments.

Objectives

• To build a foundation of knowledge and skills based on the optimised use of IT resources and tools designed for academic, educational and professional purposes.

• To foster information and knowledge management skills.

• To establish a useful foundation for management and learning based on independent research using IT tools.

• The ability to apply general knowledge of office automation and new information technologies in current practice and in future professional contexts.

Prerequisites

No prerequisites have been established

Learning outcomes

RK4 Basic knowledge of the use and programming of computers, operating systems, databases and software applications relevant to engineering.

RK5 Knowledge of the structure, organisation, operation and interconnection of computer systems, the fundamentals of their programming, and their application to solving engineering problems.

RC5 Knowledge and application of the tools required for the storage, processing and access to information systems, including web-based systems.

Description of the content

General content covered by the module:

Concepts of information and communications technology. Basic structure and operation of computers. Computer applications for engineering. Advanced use of spreadsheets. Introduction to programming. The Web and web services. Web application development. Client-side (front-end) development. Server-side (back-end) development

Course content:

Concepts in Information and Communications Technology; Computers and their use; File management; Word processing; Spreadsheets; Use of databases; The Internet; Messaging; Fundamentals of computing and data analysis.

Teaching activities

P1 Lectures

P2 Interactive classes

P3 Workshop and/or laboratory activities

P4 Completion of assignments or projects and problem-solving

P5 Independent study, case studies or problem-solving, literature reviews

P6 Assessments 

P7 Tutorials

Assessment system and criteria

----

The assessment process will be carried out taking into account the intended learning outcomes, so that the objectives and competences that the student is required to acquire are achieved.

Continuous assessment

For the continuous assessment of the Computer Science 1 module, various computer-based exercises and practical case studies will be carried out, along with an assignment linked to the ‘vitaminised’ courses and their certifications (16%); a class attendance rate of over 70 per cent will be required, and the following practical examinations (in each of which a minimum mark of 4 is required) will be held:

- Part 1 on spreadsheets using Excel and data analysis: 42%

- Part 2 on Fundamentals of Computing and Python: 42%

Students who meet the requirements for continuous assessment, attendance and minimum mark will have the percentages indicated for each part applied to their marks, and their final course mark will be calculated accordingly. Students who meet the requirements and ultimately achieve a mark of 5 or above in continuous assessment will have passed the course and will not need to sit the final exam in the ordinary examination session.

Ordinary Examination

Students who have not passed the course will be required to sit the final exam in the ordinary examination session, for which there are two options:

- Students who, having met the continuous assessment requirements (class attendance, coursework, practical exams and minimum mark), have not passed the course, may sit an exam in June for only one of the course components (in which they must achieve a minimum mark of 4), so that, by reapplying the relevant weightings together with the mark for the resat part, they may achieve a final pass (a mark of 5 or above) in the ordinary examination session.

- Students who do not fall into the above category will have to sit an exam covering the entire syllabus of the module during the ordinary examination period.

Extraordinary Examination

In the supplementary examination session, students must be examined on the entire syllabus of the module.

The exam will include one question from each of the two parts that make up the course, requiring a minimum mark of 4 in each of these questions, after which the corresponding percentages for each part will be applied.

Timetable

Click on this link to view the detailed timetable in Excel

Session	Activity	Description	Assessment
1	SM	Introduction to and basic knowledge of computing
2	SM	Information Systems
3	SM	Fundamentals and Basic Concepts of Programming
4	SM	What is a spreadsheet and how do you use it?
5	SM	Data types in Excel
6	SM	Operations and Formulas
7	SM	Relative, absolute and mixed references
8	SM	Relative, absolute and mixed references
9	SM	Formulas and functions
10	SM	Functions: mathematical, statistical, etc.
11	SM	Functions, text functions, date functions, etc.
12	SM	Logical functions
13	SM	Logical functions
14	SM	Find V and Find H functions
15	SM	Charts
16	SM	Charts
17	SM	Page setup, margins, orientation, headers and footers, etc.
18	SM	Table formats
19	SM	Analysis, filters and numerical problem-solving
20	SM	Analysis, filters and numerical problem-solving
21	SM	Data summarisation or grouping and calculation of subtotals
22	SM	Pivot tables
23	SM	Dynamic charts
24	SM	Data analysis
25	SM	Excel revision
26	EV	Practical exam	0.42
27	SM	Notebooks
28	SM	Introduction to Python
29	SM	Variables in Python
30	SM	Data types
31	SM	Operators and Expressions
32	SM	Basic Concepts of Object-Oriented Programming
33	SM	Data Structures
34	SM	Data Structures
35	SM	Control Structures
36	SM	Control Structures
37	SM	Functions
38	SM	Functions
39	SM	Data processing
40	SM	Arrays
41	SM	Arrays
42	SM	Matrices
43	SM	Matrices
44	SM	Functions for handling arrays
45	SM	Functions for handling arrays
46	SM	Introduction to data analysis
47	SM	Datasets
48	SM	Descriptive analysis
49	SM	Descriptive analysis
50	SM	Types of graphs
51	SM	Review of Python Programming Fundamentals
52	EV	Practical exam	0.42
53	SM	UAX Skill School
54	SM	UAX Skill School
55	SM	Practical exam
56	SM	UAX Skill School
57	SM	UAX Skill School
58	SM	UAX Skill School
59	SM	UAX Skill School
60	EV	UAX Skill School (Submit work)	0.16

Bibliography

Basic:

1. Lambert, Joan.

MOS 2016 Study Guide for Microsoft Excel:

Microsoft Press. 2016.

ISBN: 9780735699434

2. Microsoft

Microsoft 365

Microsoft. 2022.

ISBN: 9782409024351

https://support.microsoft.com/es-es/training

Supplementary:

3. CLAUDIA VALDES-MIRANDA

EXCEL 2016 (ESSENTIAL HANDBOOK)

Anaya Multimedia. 2016.

ISBN: 9788441538023

4.- Eni

Microsoft Office 2019 and Office 365: Word, Excel, PowerPoint and Outlook

Eni Editions. 2020.

ISBN: 978-2-409-024

5. JOHN PIERCE

MOS 2016 STUDY GUIDE FOR MICROSOFT WORD EXPERT

Microsoft Press. 2016.

ISBN: 9788441539266

6. Peña Pérez, Rosario

Office 2016:

Ediciones Altaria, 2015.

ISBN: 9788494404979

7. ROSARIO PEÑA PEREZ

Office 2019–Office 365: Key new features

Altaria. 2018.

ISBN: 9788494731976

8. VALENTIN, HANDZ

EXCEL 2016 STEP BY STEP, 2nd UPDATED EDITION

Ra-Ma. 2016.

ISBN: 9788499646619

9. VALENTIN, HANDZ

OFFICE 2016 PRACTICAL COURSE

Ra-Ma. 2016.

ISBN: 9788499646343

C0141414

Programme

Código: C0141414 Imprimir

Course 1: First-term module. Foundation course. 6 credits.

Profesores

Alejandro Lasso Castillo - Coordinador
José Miguel Martínez Romera

Objectives

Information systems, data analysis and retrieval, etc. Document management, databases and operating systems. Basic application structure, data types and expressions, data input/output, classes and objects, flow control structures, text handling, arrays and matrices, error and exception handling, files, abstract data types, collections: Lists, Stacks and Queues, Trees, Hash Tables, Searching and Sorting, Algorithmic complexity, Pointers.

Prerequisites

No prerequisites have been set

Learning outcomes

RK4 Basic knowledge of the use and programming of computers, operating systems, databases and software applications in engineering.

RK5 Knowledge of the structure, organisation, operation and interconnection of computer systems, the fundamentals of their programming, and their application to solving engineering problems.

RK3 Ability to understand and master the basic concepts of discrete mathematics, logic, algorithms and computational complexity, and their application to solving engineering problems.

RS4 Ability to identify, design and efficiently utilise the data types and structures best suited to solving a problem.

RS5 Ability to analyse, design, build and maintain applications in a robust, secure and efficient manner, selecting the most appropriate programming paradigm and languages.

RS10 Ability to identify and analyse problems and to design, develop, implement, verify and document software solutions based on an adequate understanding of current theories, models and techniques.

RC1 The ability to design, develop, select and evaluate computer applications and systems, ensuring their reliability, security and quality, in accordance with ethical principles and current legislation and regulations.

RC3 Knowledge and application of the basic algorithmic procedures of computer technologies to design solutions to problems, analysing the suitability and complexity of the proposed algorithms.

RC6 Ability to develop, maintain and evaluate software services and systems that meet all user requirements and perform reliably and efficiently, are cost-effective to develop and maintain, and comply with quality standards, by applying the theories, principles, methods and practices of software engineering

RC12 Ability to assess the computational complexity of a problem, identify algorithmic strategies that may lead to its resolution, and recommend, develop and implement the strategy that guarantees the best performance in accordance with the established requirements.

Description of the content

General content covered by the module:

Basic structure of applications, Data types and expressions, Data input/output, Classes and objects, Flow control structures, String handling, Arrays and matrices, Error and exception handling, Files, Abstract data types, Collections: Lists, Stacks and Queues, Trees, Hash Tables, Searching and Sorting, Algorithmic complexity.

Course content:

-Introduction to programming. Structure of a programme

-Identifiers. Variables. Data types, Literals. Operations and expressions

-Reading data from the keyboard. Utility classes.

-Classes and objects. Attributes, methods, method calls. Aliases.

-Classes and objects. Constructors. Returning values. Exercises.

-Control statements

-Exceptions

-Arrays

-Files

-Final practicals

Learning activities

P1 Lecture

P2 Interactive classes

P3 Laboratories

P4 Project development

P5 Independent Study

P6 Tutorials

P7 Assessments.

Assessment system and criteria

Without prejudice to any other requirements that may be set out in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment during the standard examination period. In this case, the examination to be held during the official period set by the University will be the sole assessment criterion, with the weighting specified in the course syllabus.

----

The assessment process will be carried out taking into account the various learning outcomes.

To this end, the following assessment activities will be used to gauge the extent to which each of the listed learning outcomes has been mastered:

• Assessment of reports on various practical case studies set for resolution by applying the knowledge acquired in the different modules.

• Submission of practical assignments and reports on their completion, as well as the student’s performance in the laboratory whilst carrying out the practicals.

• Tests conducted throughout the course to assess the competences the student is acquiring.

• Written examinations covering the full range of learning activities carried out in the classroom.

Regular assessment period: Exam (100%)

Supplementary assessment: 100% exam

C0141416

Mathematics 1

Código: C0141416 Imprimir

Course 1: First-term module. Foundation course. 6 credits.

Profesores

José Antonio Prieto Persiguero - Coordinador

Ver biodata

Rodrigo Vicente de Miguel de Juan

Objectives

The aim of this module is to provide the necessary mathematical foundations to enable a graduate in Computer Engineering to interpret, select, evaluate and create new concepts, theories, applications and technological developments relating to computer science and its applications.

Prerequisites

No prerequisites have been set

Learning Outcomes

RK1 Knowledge of linear algebra; differential and integral calculus; numerical methods; statistics and optimisation, for solving engineering problems.

RK3 Ability to understand and master the basic concepts of discrete mathematics, logic, algorithms and computational complexity, and their application to solving engineering problems.

RS1 Ability to solve mathematical problems typical of those that may arise in engineering.

Description of the content

General content covered by the module:

Introduction to mathematical calculus; differentiation of functions of one and several variables; integration of functions of one variable; multiple integrals; line integrals; surface integrals; Sequences, Series, Matrices, Vector spaces, Linear applications, Algebraic structures, ODE (ordinary differential equations), Discrete mathematics.

Course content:

1. Introduction to mathematical calculus.

2. Differentiation of functions of one and several variables.

3. Integration of single-variable functions.

4. Multiple integrals. Line integrals. Surface integrals.

5. Sequences and series.

Teaching activities

P1 Lectures

P2 Interactive classes

P3 Workshops and/or laboratory sessions

P4 Preparation of assignments or projects and problem-solving

P5 Independent study, case studies or problem-solving, literature reviews

P6 Assessments 

P7 Tutorials

Assessment system and criteria

----

The assessment process will consist of evaluating the extent to which the student has acquired the competences associated with the module.

The module may be passed through continuous assessment, that is, without the need to sit the exam in the standard examination period. However, VERY IMPORTANT: students will be required to attend at least 70 per cent of class sessions (LECTURES, PRACTICALS) in order to benefit from continuous assessment. If attendance falls below 70 per cent, the module must be passed by sitting a single exam during an official examination period (ordinary or supplementary).

CONTINUOUS ASSESSMENT

Continuous assessment will consist of the following components:

-- a case study, accounting for 20% of the final continuous assessment mark, which students will undertake in small groups throughout the academic term; this project will involve the submission of several deliverables (in order to analyse the progress of the different working groups), each of which will be assessed and will carry its corresponding weighting in the practical case study mark. Submission dates will be announced well in advance.

-- two mid-term exams, each accounting for 40 per cent of the final mark for continuous assessment (80 per cent in total), which students will sit individually during the term. The dates of these exams will be announced well in advance.

A weighted average of the various assessments will only be calculated if the mark obtained in each and every one of them (including assignments) is 4.0 or higher. Furthermore, only the examinations will be subject to re-marking.

*** The module will be deemed to have been passed through continuous assessment if the final mark for that assessment is 5.0 or higher.

If the student does not pass the module through continuous assessment, they may do so by sitting a single exam during an official examination session (ordinary or supplementary).

REGULAR EXAM SESSION

*** Attendance of 70 per cent or more.

In this case, the student will be examined on all the content covered in the module or, if they have passed a mid-term exam (mark of 5.0 or above), on the content of the mid-term exam they failed. The mark for the ordinary examination session will continue to be the weighted average of the case study and the examination(s), in accordance with the weightings indicated above.

*** Attendance below 70 per cent.

In this case, the student will be examined on all the content covered in the module in a single examination. The mark for the ordinary examination period will be the mark obtained in that examination.

*** The module is considered passed in the ordinary examination period if the final mark is 5.0 or higher.

SUPPLEMENTARY EXAM

Regardless of attendance, in the supplementary sitting, the student will be examined on all the content covered in the module in a single examination. The mark for this sitting will be that obtained in that examination.

*** The module is considered passed in the supplementary examination period if the final mark is 5.0 or higher.

Students are reminded that, in order to benefit from continuous assessment, attendance at class sessions (SESSION, TRAB) must be 70 per cent or higher.

Timetable

Click on this link to view the detailed timetable in Excel

Session	Activity	Description	Assessment
1	MG	Course introduction
2	MG	Introduction to Mathematical Calculus
3	SM	Introduction to Mathematical Calculus
4	SM	Introduction to Mathematical Calculus
5	MG	Introduction to Mathematical Calculus
6	MG	Introduction to Mathematical Calculus
7	SM	Introduction to Mathematical Calculus
8	SM	Introduction to Mathematical Calculus
9	MG	Functions of a real variable
10	MG	Functions of a real variable
11	SM	Functions of a real variable
12	SM	Functions of a real variable
13	MG	Functions of a real variable
14	MG	Functions of a real variable
15	SM	Functions of a real variable
16	SM	Functions of a real variable
17	MG	Functions of a real variable
18	MG	Functions of a real variable
19	SM	Functions of a real variable
20	SM	Functions of a real variable
21	MG	Functions of two real variables
22	MG	Functions of two real variables
23	SM	Functions of two real variables
24	SM	Functions of two real variables
25	MG	Functions of two real variables
26	MG	Functions of two real variables
27	EV	First Mid-Term Exam
28	EV	First Mid-Term Exam	40
29	MG	Concept of an integral. Calculation of antiderivatives
30	MG	The concept of an integral. Calculating antiderivatives
31	SM	The concept of an integral. Calculation of antiderivatives
32	SM	The concept of an integral. Calculating antiderivatives
33	MG	The concept of an integral. Calculating antiderivatives
34	MG	The concept of an integral. Calculation of antiderivatives
35	SM	The concept of an integral. Calculation of antiderivatives
36	SM	The concept of an integral. Calculating antiderivatives
37	MG	The concept of an integral. Calculating antiderivatives
38	MG	The concept of an integral. Calculating antiderivatives
39	SM	The concept of an integral. Calculation of antiderivatives
40	SM	The concept of an integral. Calculating antiderivatives
41	MG	The concept of an integral. Calculating antiderivatives
42	MG	The concept of an integral. Calculating antiderivatives
43	SM	Applications of integral calculus
44	SM	Applications of integral calculus
45	MG	Applications of integral calculus
46	MG	Applications of integral calculus
47	SM	Applications of integral calculus
48	SM	Applications of integral calculus
49	MG	Applications of integral calculus
50	MG	Applications of integral calculus
51	SM	Applications of integral calculus
52	SM	Applications of integral calculus
53	MG	Sequences and series
54	MG	Sequences and series
55	SM	Sequences and series
56	SM	Sequences and series
57	EV	Case study presentations
58	EV	Case study presentations	20
59	EV	Second Mid-Term Exam
60	EV	Second Mid-Term Exam	40

Reading List

Core:

1. Pedro de Mingo García

Calculus

Bellisco Technical and Scientific Publications. 2009.

ISBN: 8496486370

2. Pedro de Mingo García

Calculus Exercises

Bellisco Technical and Scientific Publications. 2009.

ISBN: 8496486788

Others:

3. James Stewart

Differential and Integral Calculus

Cengage Learning Latin America. 2006.

ISBN: 9706865446

4. James Stewart, Lothar Redlin, Saleem Watson

Pre-Calculus: Mathematics for Calculus.

Cengage Learning. 2017.

ISBN: 607526275X

5. Michael Spivak

Calculus

Reverté Publishers. 2012.

ISBN: 8429151826

6. N. Piskunov

Differential and Integral Calculus

Limusa S.A. de C.V. Publishers. 2009.

ISBN: 9681839854

7. Ron E. Larson and Bruce H. Edwards

Calculus I

Cengage Learning. 2014.

ISBN: 978-607-522-0

8. Ron E. Larson and Bruce H. Edwards

Calculus II

Cengage Learning. 2014.

ISBN: 978-607-522-0

C0141418

Communication Techniques 1

Código: C0141418 Imprimir

Course 1. Second-term module. Compulsory. 6 credits.

Profesores

Óscar Rebollo Pulido - Coordinador

Ver biodata

Sara Martínez Carril

Ver biodata

Objectives

- To develop critical thinking and the ability to express complex ideas in simple terms.

- To develop leadership and conflict management skills.

- To develop people management and teamwork skills.

- To apply the principles of human communication to interpersonal communication in order to produce accurate and effective speeches.

- To provide appropriate preparation for the needs of the business world.

- To refine the communication skills of professionals who will be working in the fields of new technologies and information.

- Improving lexical competence: expanding one’s active vocabulary in formal contexts, and understanding and using subject-specific terminology.

- To develop public speaking skills: to gain fluency and the ability to engage with the audience, and to overcome stage fright.

- To acquire a range of oral presentation techniques: speaking to large groups, in meetings, debates and discussions.

- To recognise and apply the appropriate procedures for writing reports, letters or emails that satisfy the recipient and effectively represent the organisation’s image and interests.

- Understand and apply the resources of written communication as a tool for management and cohesion

- Learn to manage interpersonal relationships.

- Information literacy.

Prerequisites

There are no prerequisites.

Learning outcomes

RC16 Ability to enter and integrate into a real-world professional environment within the field of the degree programme, adapting to its dynamics and working procedures, as well as its internal organisation, with the aim of carrying out tasks and/or performing specific roles that may or may not require participation in work teams

RODS Develops effective communication, teamwork, analytical thinking, creativity and ethical leadership from a cross-cutting perspective, clearly inspired by democratic principles and values, as well as the Sustainable Development Goals, in order to operate with integrity in the professional sphere.

Description of the content

General content covered by the module:

Human communication, Business communication, General writing. Processes and methods, Professional texts in ICT engineering, Grammar correction, Vocabulary, Summarising, Oral communication.

Course content:

Written communication

General and applied writing.

Professional texts in ICT engineering.

Summarising.

ICT-specific vocabulary and terminology.

Information and cataloguing.

Electronic resources.

Training activities

P1 Lectures

P2 Interactive classes

P4 Completing assignments or projects and solving challenges

P5 Independent study, case studies or problem-solving, literature reviews

P7 Knowledge assessments

Assessment system and criteria

----

The assessment process will consist of verifying and evaluating the student’s acquisition of the learning outcomes. To this end, the following assessment activities will be used to determine the extent to which each of the listed learning outcomes has been mastered:

Continuous assessment

Continuous assessment test (10 per cent): a test covering the content covered in the module. 15 questions (multiple-choice and short-answer)

Tutor’s assessment: 5%

o Main examination (85%). Students who fail the continuous assessment must sit the failed examination (oral and/or written), and the mark for the passed examination will be retained.

Oral (40%): final weeks of the term. Minimum mark: 5

Written examination. This will be held on the same date as the ordinary examination (discourse analysis): 45%

o Supplementary examination (100%). Students who are required to sit the supplementary examination must sit both parts: oral and written.

Oral (40%). Minimum mark: 5

Written (60%). Minimum mark: 5

Timetable

Click on this link to view the detailed timetable in Excel

Session	Activity	Description	Assessment
1	MG	Course introduction. Communication theory
2	SM	Fundamentals of Communication
3	SM	Fundamentals of Communication
4	MG	Distinguishing between oral and written communication. Oral communication.
5	SM	Practical exercises in oral and written communication
6	SM	Practical oral and written communication skills
7	MG	Non-verbal communication. Introduction
8	SM	NVC Practices
9	SM	NVC practises
10	MG	Types of discourse
11	SM	Preparing speeches. NVC
12	SM	Speech preparation. CNV
13	MG	Analysis and drafting of oral speeches
14	SM	Practical work on oral discourse
15	SM	Oral presentation practice
16	MG	Analysis and preparation of oral presentations
17	SM	Oral presentation. Presentation techniques
18	SM	Oral presentation. Presentation techniques
19	MG	Analysis and preparation of oral presentations
20	EV	Exam 1: A test comprising 15 multiple-choice questions and one essay question	10
21	EV	Test 1. Test comprising 15 multiple-choice questions and one essay question
22	MG	Oral presentation. Presentation techniques
23	SM	Oral presentations. Presentation techniques
24	SM	Oral presentation. Presentation techniques
25	MG	Oral presentation. Presentation techniques
26	SM	Oral presentations. Presentation techniques
27	SM	Oral presentation. Presentation techniques
28	MG	Oral presentation. Presentation techniques. Openers, closers, engagement…
29	SM	Practical oral presentation
30	SM	Practical oral presentation
31	MG	Oral presentations. Presentation techniques. Openings, closings, engaging the audience…
32	SM	Practical oral presentation
33	SM	Practical oral presentation
34	MG	Presentation techniques. Openings, closings, engagement…
35	SM	Practise in oral presentation. Bibliographic citations and search engines
36	SM	Oral presentation practice. Bibliographic citation and search engines
37	MG	Assessment 2. Oral examination	40
38	EV	Test 2. Oral exam
39	EV	Assessment 2. Oral examination
40	MG	Test 2. Oral exam
41	EV	Test 2. Oral examination
42	EV	Assessment 2. Oral examination
43	MG	Test 2. Oral exam
44	EV	Test 2. Oral exam
45	EV	Assessment 2. Oral examination

TOTAL:

SECOND FOUR-MONTH PERIOD

Code

Subjects

Character*

ECTS

C0141417

Data Structures

Código: C0141417 Imprimir

Course 1. Second-term module. Foundation course. 6 credits.

Profesores

David de la Antonia López - Coordinador
José Miguel Martínez Romera
Antonio José Reinoso Peinado	Ver biodata Doctor by the Universidad Rey Juan Carlos and Computer Engineering. Professor of the Degree in Computer Engineering (Faculty of Business and Tech.) and the Degree in Aerospace Engineering (EPS) at the University Alfonso X El Sabio for more than 20 years. Computer Engineer and Master in Free Software. Accredited by the Agency of Quality, Accreditation and Prospective of the Com. of Madrid (ACAP) for the figures of Prof. Contracted Doctor and Prof. Doctor of Private Univ. He has been Head of Studies of the higher grade training cycles of the Technology area of the FP/UAX Centre . He has directed several doctoral theses and currently collaborates in research projects in the UAX Foundation. He is also the author of several books, specialised articles and other publications in journals and at national and international conferences.

Objectives

This module builds upon and complements the knowledge covered in the Programming modules, exploring in greater depth the basic structures widely used in software development, as well as the concepts of algorithms and algorithmic complexity. It formalises the concepts of data structures, as well as the techniques for designing and constructing algorithms to handle them.

Data structures are presented using object-oriented techniques.

The module is complemented by laboratory sessions in which the concepts taught in class are put into practice.

Prerequisites

No prerequisites have been set

Learning outcomes

RK4 Basic knowledge of the use and programming of computers, operating systems, databases and software with applications in engineering.

RK5 Knowledge of the structure, organisation, operation and interconnection of computer systems, the fundamentals of their programming, and their application to solving engineering problems.

RK3 Ability to understand and master the basic concepts of discrete mathematics, logic, algorithms and computational complexity, and their application to solving engineering problems.

RS4 Ability to identify, design and efficiently utilise the data types and structures best suited to solving a problem.

RS5 Ability to analyse, design, build and maintain applications in a robust, secure and efficient manner, selecting the most appropriate programming paradigm and languages.

RS10 Ability to identify and analyse problems and to design, develop, implement, verify and document software solutions based on an adequate understanding of current theories, models and techniques.

RC3 Knowledge and application of the basic algorithmic procedures of computer technologies to design solutions to problems, analysing the suitability and complexity of the proposed algorithms.

Description of the content

General content covered by the module:

Course content:

Algorithms. Abstract Data Types. Fundamental data structures: Lists, queues and stacks. Trees. Collections in Java. Search and sort algorithms and their algorithmic complexity.

Teaching activities

P1 Lecture

P2 Interactive sessions

P3 Laboratory sessions

P4 Project work

P5 Independent study

P6 Assessments

P7 Tutorials

Assessment system and criteria

----

The assessment process will be carried out taking into account the various learning outcomes.

To this end, the following assessment activities will be used to determine the

degree to which each of the listed learning outcomes has been mastered:

• Assessment of reports on various practical case studies set for students to solve by applying the knowledge acquired in the different modules.

• Submission of practical assignments and reports on their completion, as well as the student’s performance in the laboratory whilst carrying out the practicals.

• Tests conducted throughout the course to assess the competences the student is acquiring.

• Written examinations covering the full range of learning activities carried out in the classroom.

Continuous Assessment: This involves the tests and submissions set out in the course schedule, which are summarised below along with their percentage contribution to the final course mark:

Theoretical content exams: 60%

Assignments and/or practical exams and/or practical coursework: 40% (IMPORTANT: Marks for the assessments in this section will be carried over to the ordinary and supplementary examination sessions should the student need to sit them. However, if a student fails to sit these assessments or achieves a mark of less than 5 in continuous assessment, these components will NOT be eligible for resit in either of the two examination sessions.

In order to calculate the mark for continuous assessment, it is an essential requirement that a mark of 4 out of 10 or higher has been obtained in each exam or block of assignments.

If a continuous assessment mark can be calculated and this is 5 or more out of 10, the module will be deemed passed and the mark obtained will be carried over directly to the ordinary examination session. Otherwise, students must sit the ordinary examination.

Ordinary Examination Session: Students will sit the ordinary examination session to take the exam covering the content corresponding to the assessments not passed in the continuous assessment. For the calculation of the ordinary examination session mark, the same percentage weightings assigned to the corresponding continuous assessment tests will apply. The mark obtained in the assignment blocks set for continuous assessment cannot be improved upon in this sitting and will be the mark used, with the corresponding percentage applied, to calculate the final mark.

IMPORTANT: Assignments or assessed tests on practical content will retain their percentage weighting in the ordinary examination session (40%). However, the session will NOT include any examination or test relating to these.

Extraordinary Examination Session: Students will sit the extraordinary examination session to take an exam covering the full range of theoretical and practical content of the module. The mark obtained in the assessment blocks established for continuous assessment cannot be improved upon in this sitting and will be the mark used, with the corresponding percentage applied, to calculate the final mark.

IMPORTANT: Assignments or assessed tests on practical content will retain their weighting in the supplementary assessment (40%). However, the supplementary assessment will NOT include any exam or test relating to these.

Bibliography

Essential:

1.- Joyanes Aguilar, Luis; Zahonero Martínez, Ignacio

Data Structures in Java

McGraw-Hill. 2008.

ISBN: 978-84-481-56

C0141419

Fundamentals of Communications Networks

Código: C0141419 Imprimir

Course 1. Second-term module. Compulsory. 6 credits.

Profesores

Gonzalo Martínez Ginesta - Coordinador

Ver biodata

Objectives

To understand the fundamentals of IP-based communications networks.

To become familiar with the essential protocols and technologies used in IP networks.

Develop skills in configuring and managing basic IP networks.

Become familiar with network analysis and diagnostic tools.

Prerequisites

No prerequisites have been set

Learning outcomes

RK5 Knowledge of the structure, organisation, operation and interconnection of computer systems, the fundamentals of their programming, and their application to solving engineering-related problems.

RS12 Ability to select, design, deploy, integrate and manage networks and communications infrastructure within an organisation.

RC4 Ability to understand and apply the characteristics, functionalities and structure of distributed systems, computer networks and the Internet, and to design and implement applications based on them.

RC11 Ability to design, deploy, administer and manage computer networks.

RC12 Ability to assess the computational complexity of a problem, identify algorithmic strategies that may lead to its solution, and recommend, develop and implement the strategy that guarantees the best performance in accordance with the established requirements.

Description of the content

General content covered by the module:

OSI reference models, Physical layer, Data link layer, Network layer, IP addressing, ARP and ICMP, Subnets, Routing, Transport layer, switching in LAN design, Switches, Virtual LANs (VLANs), VLAN trunking, WAN technologies, point-to-point protocols, physical technologies.

Course content:

1. Introduction to communications networks: Basic networking concepts: topologies, transmission media, network devices. Reference models: OSI and TCP/IP. Introduction to IP networks: addressing, routing and switching.

2. Network layer protocols (IP): IP protocol (IPv4 and IPv6): packet format, addressing and subnets. Address resolution protocols: ARP, RARP, ICMP. Static and dynamic routing: RIP, OSPF, BGP.

3. Transport layer protocols: TCP (Transmission Control Protocol): connections, flow control and congestion control. UDP (User Datagram Protocol): characteristics and uses. Comparison between TCP and UDP.

4. Application layer protocols: DNS (Domain Name System). HTTP/HTTPS, FTP, SMTP, POP3, IMAP. Real-time applications: VoIP.

5. Network technologies: LAN/WAN networks: Ethernet, VLANs, Wi-Fi.

6. Network diagnostic and management tools: Monitoring tools: Wireshark, ping, traceroute. Configuring routing tables on Linux, routers and switches.

Training activities

P1 Lecture

P2 Interactive sessions

P3 Practical sessions

P4 Project work

P5 Independent Study

P6 Tutorials

P7 Assessments.

Assessment system and criteria

Methodology:

Lectures: Explanation of concepts and protocols.

Practical classes: Network configuration, use of tools and simulators.

Laboratory sessions: Setting up and testing real networks.

Assessment:

----

1) In the ordinary assessment period, the course assessment consists of two parts:

* Continuous assessment mark on campus (exercises, assignments and/or tests): 25%

* Final exam: 75%

IMPORTANT: The final mark will be calculated using the above weightings provided that the exam mark is >=4 marks and the mark for each assignment is above 3. Otherwise, 100% of the mark will be based on the result of the exam.

2) In the case of a resit, 100 per cent of the mark will be based on the exam. This will include questions on topics covered in the continuous assessment.

3) A minimum attendance rate of 70% is required, unless an exemption is granted, in order to pass via continuous assessment. Please note that a minimum attendance rate of 70% is necessary for a student to sit the continuous assessment and pass the course. Therefore, attendance will be taken every day.

There will be three mid-term exams, all of which are eliminatory with a minimum mark of 3, held during class hours. If a student scores less than 3 in any exam, that section will be carried over to the final exam. If the average mark for continuous assessment is less than 5.0, the entire module will be assessed via the final exam, in which laboratory work will be included.

Addendum

To keep up with the course, it is recommended that you have a laptop and bring it to class.

Bibliography

Core:

1. Andrew S. Tanenbaum

Computer Networks

Pearson Education. 2012.

ISBN: 978-607320959

2. Cisco Networking Academy

CCNA Routing and Switching

Cisco Press. 2016.

ISBN: 978-158720581

3. James F. Kurose, Keith W. Ross

Computer Networking: A Top-Down Approach

Pearson. 2020.

ISBN: 978-013592861

4. W. Richard Stevens

TCP/IP Illustrated, Volume 1: The Protocols

Addison-Wesley Professional. 2011.

ISBN: 978-032133631

Supplementary:

5.- Halsall, Fred

Computer Networks and the Internet

Madrid: Pearson Educación, 2006. 2006.

ISBN: 8478290834

C0141420

Mathematics 2

Código: C0141420 Imprimir

Course 1. Second-term module. Foundation course. 6 credits.

Profesores

José Antonio Prieto Persiguero - Coordinador	Ver biodata José Antonio Prieto Persiguero holds a degree in Physics from the Complutense University of Madrid, specialising in Materials Physics. He has 25 years of university teaching experience in Physics, Mathematics and Statistics. His research work has focused on semiconductor physics and quantum dot structures, with outstanding publications in Physical Review Letters and Applied Physics Letters on stress effects and optical transitions in nanomaterials.
Estrella García Pelluz
Alejandro Lasso Castillo

Objectives

Prerequisites

No prerequisites have been set.

Learning Outcomes

RK1 Knowledge of linear algebra; differential and integral calculus; numerical methods; statistics and optimisation, for solving engineering problems.

RK3: Understands the mathematical, logical and physical foundations underpinning the scientific method and relates them to the methodologies and creation of paradigms that enable innovation and technological development.

RS1: Analyses, synthesises and solves complex problems by applying tools based on logic, physics and mathematics.

Description of the content

General content covered by the module:

Introduction to mathematical calculus; differentiation of functions of one and several variables; integration of functions of one variable; multiple integrals; line integrals; surface integrals; Sequences, series, matrices, vector spaces, linear applications, algebraic structures, ODE (ordinary differential equations), discrete mathematics.

Course content:

1. Matrices.

2. Vector spaces.

3. Linear mappings.

4. Algebraic structures.

5. Discrete mathematics.

6. Ordinary differential equations.

Teaching activities

P1 Lecture

P2 Interactive sessions

P4 Project work

P5 Independent study

P6 Tutorials

P7 Assessments.

Assessment system and criteria

----

The assessment process will consist of evaluating the extent to which the student has acquired the competences associated with the module.

CONTINUOUS ASSESSMENT

Continuous assessment will consist of the following components:

*** The module will be deemed to have been passed through continuous assessment if the final mark for that assessment is 5.0 or higher.

If the student does not pass the module through continuous assessment, they may do so by sitting a single examination during an official examination session (ordinary or supplementary).

REGULAR EXAM SESSION

*** Attendance of 70 per cent or more.

*** Attendance below 70 per cent.

*** The module is considered passed in the ordinary examination period if the final mark is 5.0 or higher.

SUPPLEMENTARY EXAM

Regardless of attendance, in the supplementary examination session, the student will be examined on all the content covered in the module in a single examination. The mark for this session will be that obtained in that examination.

*** The module is considered passed in the supplementary examination period if the final mark is 5.0 or higher.

Students are reminded that, in order to benefit from continuous assessment, attendance at class sessions (SESSION, TRAB) must be 70 per cent or higher.

C0141421

Digital Systems

Código: C0141421 Imprimir

Course 1. Second-term module. Foundation course. 6 credits.

Profesores

Eduardo Gurría García - Coordinador
Biel Piero Alvarado Vasquez
Sara Ignacio Cerrato
Alejandro Lasso Castillo

Objectives

To understand the fundamentals of computer architecture and its basic hardware structures.

Prerequisites

No prerequisites have been set

Learning Outcomes

RK2 Understanding and mastery of the basic concepts of fields and waves and electromagnetism, electrical circuit theory, electronic circuits, the physical principles of semiconductors and logic families, electronic and photonic devices, and their application to solving engineering problems.

Course description

Basic building blocks of digital electronics; sequential circuits; combinational circuits; microcontrollers; microprocessors: structure and organisation.

Introduction. Two-level combinational logic. Programmable logic devices. Functional modules based on combinational logic. Introduction to sequential logic circuits. Functional modules based on sequential logic: Registers, counters and RAM. Microprogrammable digital electronics

Learning activities

P1 Lecture

P2 Interactive sessions

P3 Laboratory sessions

P4 Project work

P5 Independent Study

P6 Tutorials

P7 Assessments.

Assessment system and criteria

----

EV1 Assessment of practical activities 20%

EV2 Portfolio 30%

EV3 Laboratory notebook or projects 20%

EV4 Final knowledge assessments 30%

C0141422

Communication Techniques 2

Código: C0141422 Imprimir

Profesores

Óscar Rebollo Pulido - Coordinador

Ver biodata

Sara Martínez Carril

Ver biodata

Objectives

To enable students to:

1. Develop oral and written communication skills in Spanish and improve their interpersonal communication.

2. Develop linguistic and textual skills (comprehension and production) and pragmatic skills in Spanish.

3. Improve their lexical competence and use appropriate terminology.

4. Use expressive, textual, contextual and documentary resources effectively.

5. Develop persuasive rhetoric and professional communication skills: reports, minutes, notices, etc.

6. Adopt responsible attitudes towards written culture and the written language.

7. Appreciate the role and value of linguistic communication in business and society.

8. Master the discourse of negotiation: verbal courtesy, argumentation.

9. Protocol

Prerequisites

No prerequisites have been set.

Learning outcomes

RC16 Ability to enter and integrate into a real professional environment within the field of the degree programme, adapting to its dynamics and working procedures, as well as its internal organisation, with the aim of carrying out tasks and/or performing specific functions that may or may not require participation in work teams

RODS Develops effective communication, teamwork, analytical thinking, creativity and ethical leadership from a cross-disciplinary perspective, clearly inspired by democratic principles and values, as well as the Sustainable Development Goals, in order to operate with integrity in the professional sphere.

Description of the content

General content covered by the module:

Human communication, Business communication, General writing. Processes and methods, Professional texts in ICT engineering, Grammar correction, Vocabulary, Summarising, Oral communication.

Course content:

Written communication

General and applied writing.

Professional texts in ICT engineering.

Summarising.

ICT-specific vocabulary and terminology.

Information and cataloguing.

Electronic resources.

Training activities

P1 Lectures

P2 Interactive classes

P4 Completing assignments or projects and solving challenges

P5 Independent study, case studies or problem-solving, literature reviews

P7 Knowledge assessments

Assessment system and criteria

----

ASSESSMENT CRITERIA:

Continuous assessment test: content test – 10% of the mark.

Lecturer’s assessment: 5%

Main examination (85% of the mark)

Documentation assessment – submission of 3 articles to summarise and cite – (40% of the mark). Last few weeks of the term

Final written exam (on the dates of the standard assessment period): 45% of the mark. Letter of motivation or cover letter for a job application. Minimum mark: 5

Supplementary assessment (100%).

Written assessment (100%). Minimum mark: 5 (multiple-choice, essay, summary, etc.)

Timetable

Click on this link to view the detailed timetable in Excel

Session	Activity	Description	Assessment
1	MG	Course overview and assessment criteria
2	SM	Writing techniques
3	SM	Writing Techniques
4	MG	Writing Techniques
5	SM	Practical Writing Skills
6	SM	Practical Writing Skills
7	MG	Textual forms and textual properties
8	SM	Academic and professional correspondence
9	SM	Academic and professional correspondence
10	MG	Textual genres and textual properties
11	SM	Academic and professional correspondence
12	SM	Academic and professional correspondence
13	MG	Summary and outline
14	SM	Summary and outline exercise
15	SM	Summary and outline exercise
16	MG	Professional Texts
17	SM	Cover letter and CV
18	SM	Cover letter and CV
19	MG	The job interview and work meetings
20	EV	Test 1. Knowledge test and essay question	10
21	EV	Test 1. Knowledge test and essay question
22	MG	The job interview and work meetings
23	SM	Job interview practice
24	SM	Job interview practice
25	MG	Job interviews and work meetings
26	SM	Job interview practice
27	SM	Job interview practice
28	MG	Professional texts: The report
29	SM	Virtual Campus Topic+D30:D40
30	SM	Practical work on report writing
31	MG	Academic Writing
32	SM	Academic work. Format
33	SM	Academic paper. Format
34	MG	Academic writing
35	SM	Academic work. Classroom practice
36	SM	Academic work. Classroom practice
37	MG	Academic writing
38	SM	Academic work. Classroom practice and answering questions
39	SM	Academic work. Classroom practice and answering questions
40	MG	Academic writing
41	EV	Assignment 2. Academic paper
42	EV	Assessment 2. Academic assignment	45
43	MG	Clarification of queries
44	SM	Answering queries
45	SM	Answering queries

TOTAL:

Second Year

ANNUAL SUBJECTS

Code

Subjects

Character*

ECTS

C0241401

Communication in a Foreign Language 2

Código: C0241401 Imprimir

Profesores

Luis Orlando Poulter Rodríguez - Coordinador

Objectives

To provide an introduction to English specific to computer science at a B2–C1 level. To familiarise students with and expand their English vocabulary, particularly technical vocabulary. To familiarise students with potential situations and texts related to engineering, with a view to developing their comprehension and expression skills (both oral and written).

Prerequisites

There are no prerequisites.

To ensure students’ successful progress in the module, it is recommended that they have successfully completed the ‘Communication in a Foreign Language 1’ module.

Learning Outcomes

CG1. To independently acquire new knowledge and techniques suitable for the design, development or operation of computer systems.

CG2. To communicate effectively, both in writing and orally, knowledge, procedures, results and ideas relating to ICT and, specifically, computer science, whilst being aware of their socio-economic impact.

CG3. To understand the social, ethical and professional responsibilities – and, where applicable, civil responsibilities – associated with the work of a Computer Engineer and their role within the field of ICT and the Information and Knowledge Society.

CE4. Possess the necessary mathematical, physical, economic and sociological foundations to interpret, select, evaluate and create new concepts, theories, applications and technological developments related to computer science, and their application.

CE8. Design, deploy, organise and manage IT systems and services in business or institutional contexts to improve business processes, taking responsibility for and leading their implementation and continuous improvement, as well as assessing their economic and social impact.

• Proficiency in a foreign language at a working level

• Basic command of communication techniques

Learning outcomes

• Proficiency in a foreign language

Course description

"Technical English" is a four-level course for students in technical or vocational education and for company employees undergoing on-the-job training. It covers the basic language and skills that students need to communicate successfully across all technical and industrial specialisms.

- Technical concepts are presented clearly through engaging texts and clear illustrations.

- The topics reflect the latest technological developments and are tailored to the students’ needs.

- The course uses basic language common to various specialisms.

- Grammar is practised regularly and there is a comprehensive section of grammar summaries.

Book: Technical English 4 Second Edition (Pearson)

Author: David Bonamy

Syllabus:

Unit 1 Innovations

Vocabulary / Technology

1.1: Oil and gas drilling

1.2: Drilling • remote control

1.3: Laser technology

Grammar / Discourse

1.1: Past / present perfect continuous

1.2: Past participle • cohesion

1.3: Section markers in a talk

Unit 2 Design

Vocabulary / Technology

2.1: Products of space research

2.2: Design • mechanical

2.3: Construction • synthetic textiles

Grammar / Discourse

2.1: Present / past simple passive • to + infinitive • for + -ing • that / which

2.2: Modals and semi-modals

2.3: Phrases to encourage participation

Unit 3 Systems

Vocabulary / Technology

3.1: Automotive

3.2: Automotive • braking systems

3.3: Automotive • aeronautics

Grammar / Discourse

3.1: Present continuous passive • phrases suggesting low risk

3.2: Non-defining relative clause • present participle • although

3.3: Contrastive connectives

Unit 4 Networks

Vocabulary / Technology

4.1: AI • sensors • environmental measurements

4.2: AI • robotics • automotive assembly

4.3: AI • sensors

Grammar / Discourse

4.1: Present active and passive • modal verbs can, could, would

4.2: Past active vs passive in reports

4.3: Past active vs passive • spoken vs written features

Unit 5 Processes

Lexis / Technology

5.1: Metallurgy • chemistry

5.2: Iron and steel production

5.3: Aluminium refining / smelting

Grammar / Discourse

5.1: Verb, noun and prepositional phrases of cause and effect

5.2: Choosing between the active and passive voices

5.3: Gerunds / nouns as captions • lexical cohesion

Unit 6 Planning

Vocabulary / Technology

6.1: Petroleum • the environment

6.2: Petroleum • marine

6.3: Transport • mechanical • electrical

Grammar / Discourse

6.1: Phrases expressing degrees of certainty

6.2: Future / future perfect passive • about to / on the point of

6.3: Phrases for chairing a meeting

Unit 7 Products

Vocabulary / Technology

7.1: ICT • AR • software engineering

7.2: Electronics • touchscreens

7.3: Electrical • materials science

Grammar / Discourse

7.1: Range of forms and functions

7.2: Phrases / linking words expressing comparison and contrast

7.3: Phrases introducing explanations / analogies

Unit 8 Incidents

Vocabulary / Technology

8.1: Logistics • warehousing

8.2: ICT • telecoms • security

8.3: Health and safety • hazardous materials

Grammar / Discourse

8.1: Present perfect passive modal

8.2: Indirect questions and related noun phrases

8.3: Phrases qualifying ‘yes’ or ‘no’: to a certain extent / on the contrary

Unit 9 Agreements

Vocabulary / Technology

9.1: Electronics • wireless controls

9.2: Sensor technology

9.3: Employment contracts

Grammar / Discourse

9.1: Noun clause / gerund following ‘propose’, ‘recommend’ or ‘suggest’

9.2: Defining relative clauses • pre- and post-modifiers in definitions

9.3: Alternatives to ‘if’: ‘on condition’ / ‘provided that’

Unit 10 Testing

Lexis / Technology

10.1: Destructive testing • earthquake-proofing

10.2: Testing buildings and bridges

10.3: Non-destructive testing

Grammar / Discourse

10.1: Nouns / hyphenated phrases used as pre-modifiers

10.2: Grammar / markers associated with report sections

10.3: Range of language forms

Assessable assignments will be set throughout the course and will be announced by the lecturer during class and via a notice on the virtual campus.

Learning activities

The learning activities designed to enable students to acquire the intended competences will be as follows:

1) Seminars. Seminars consist of three main types of activities: presentation activities, practice activities and oral and written production activities. All of these will be carried out under the supervision of the lecturer and will be tailored to the required language level.

1a) Presentation activities:

These introduce new functional content and, consequently, the vocabulary and grammar that students must acquire. Types of introductory activities:

• Reading texts adapted to the required level and completing comprehension tasks based on them.

• Listening comprehension tasks related to professional and/or everyday situations, adapted to the required level of foreign language proficiency.

1b) Practice activities:

These involve practising the content previously introduced in class. Types of practice activities:

• Activities and tasks for practising and reinforcing grammar or vocabulary.

• Tasks involving identifying differences in information, based on guidelines set by the teacher and in accordance with the required level of foreign language proficiency.

• Tasks involving the development of an oral scenario based on guidelines set by the teacher and in line with the required level of foreign language proficiency.

• Individual or group work.

1c) Production activities:

In these, the student must produce spoken or written texts using the content previously presented and practised, according to their language level. Types of production activities:

• Writing tasks appropriate to the required level of foreign language proficiency.

• Tasks involving distinguishing between pieces of information, which are more challenging than those carried out in the practice activities, based on guidelines set by the teacher.

• Individual or group oral presentations.

• Tasks involving the development of an oral scenario based on guidelines set by the teacher.

2) Students’ independent study. This will be carried out either individually or in study groups.

3) Assessment tests.

Learning activities

The learning activities designed to enable students to acquire the intended competences will be as follows:

1) Seminars. Seminars consist of three main types of activities: introductory activities, practice activities and oral and written production activities. All of these will be carried out under the teacher’s supervision and will be tailored to the required language level.

1a) Presentation activities: these introduce new functional content and, consequently, the vocabulary and grammar that students must acquire. Types of presentation activities:

• Reading texts adapted to the required level and completing comprehension tasks based on them.

• Listening comprehension tasks relating to professional and/or everyday situations, adapted to the required level of foreign language proficiency.

1b) Practice activities: these involve practising the content previously introduced in class. Types of practice activities:

• Activities and tasks for practising and reinforcing grammar or vocabulary.

• Tasks involving identifying differences in information based on guidelines set by the teacher and in accordance with the required level of foreign language proficiency.

• Tasks involving the development of an oral scenario based on guidelines

set by the teacher and in line with the required level of foreign language proficiency.

• Individual or group work.

1c) Production activities: in these, the student must produce spoken or written texts using the content previously presented and practised, according to their language level. Types of production activities:

• Text-writing tasks appropriate to the required level of foreign language proficiency.

• Tasks involving distinguishing between pieces of information, which are more challenging than those carried out in the practice activities, based on guidelines set by the teacher.

• Individual or group oral presentations.

• Tasks involving the development of an oral scenario based on guidelines set by the teacher.

2) Language lab activities. Students must attend the language lab, with or without the teacher’s supervision.

3) Students’ independent study. This will take place either individually or in study groups.

4) Assessment tests.

Assessment system and criteria

1. CONTINUOUS ASSESSMENT

To receive a mark under the continuous assessment scheme, students must have attended at least 70 per cent of classes unless they have been granted an ‘exemption’.

Five written tests covering the content of units 1–10. Each test will assess students’ knowledge in four areas: Listening, Reading, Grammar and Terminology. There will also be two oral tests (one in pairs and one individually) on a different date to that of the written tests.

Weighting of the written tests throughout the academic year:

- Written tests (5): 65%

- Oral tests (2): 25%

- Classwork: 5%

- Tutor’s assessment: 5%

Each of the 5 written assessments will consist of exercises in:

Listening Comprehension

Vocabulary and specific terminology

Reading Comprehension

Grammar or Linguistic Structures

The topic of the oral presentation, which may be undertaken individually and/or in pairs, will be agreed in advance with the teacher.

The dates of these tests will be announced in advance by the teacher. They will take place in the usual classroom, unless the teacher specifies otherwise at the time.

Each of the five written tests will consist of exercises in:

Listening Comprehension

Vocabulary and Specific Terminology

Reading Comprehension

Grammar or Linguistic Structures (Grammar)

Use of English

Writing

IMPORTANT

1) Students must sit ALL the assessment tests scheduled during the continuous assessment period. It follows that any student who fails to sit any of the mid-term tests WILL LOSE THEIR RIGHT TO CONTINUOUS ASSESSMENT AND WILL BE REQUIRED TO SIT THE REGULAR EXAMINATION COVERING 100% OF THE COURSE, subject to the assessment criteria set out for that examination session.

3) The mark for the written examination will not be carried over in either case.

5) Students must achieve a mark of 3.5 or above in the written assessments and 5 in the oral assessments in order to have their mark calculated as part of the continuous assessment average.

6) Students with a final average mark of 5 or above in continuous assessment will pass the module via the continuous assessment system.

2. REGULAR EXAM SESSION WITHOUT CONTINUOUS ASSESSMENT AND SUPPLEMENTARY EXAM SESSION

2.1 Examinations:

Students who are to be assessed on 100 per cent of the course content must sit the final examination in June and/or July. The assessment criteria in this case shall be as follows:

Written exam: 75%

Oral examination: 25%

The written exam will cover the same skills as those outlined above for students on the continuous assessment scheme.

If a minimum mark of 5 has been achieved in the oral examination, this mark will be retained for the supplementary examination, if necessary, should the student so request.

Timetable

Click on this link to view the detailed timetable in Excel

Session	Activity	Description	Assessment
1	SM	Course introduction and assessment criteria.
2	SM	Course introduction and assessment criteria.
3	SM	Unit 1. Innovations. pp. 4–6.
4	SM	Unit 1. Innovations. pp. 7–9.
5	SM	Unit 2. Design. pp. 10–12.
6	SM	Unit 2. Design. pp. 13–15.
7	SM	Review Unit A. pp. 16–17.
8	SM	Review Unit A. pp. 18–19.
9	EV	Written Test on Units 1 & 2	0.1
10	EV	Written Test on Units 1 & 2	0.1
11	SM	Unit 3. Systems. pp. 20–22.
12	SM	Unit 3. Systems. pp. 23–25.
13	SM	Unit 4. Networks. pp. 26–28.
14	SM	Unit 4. Networks. pp. 29–31.
15	SM	Review Unit B. pp. 32–33.
16	SM	Review Unit B. pp. 34–35.
17	EV	Written Test on Units 3 & 4	0.1
18	EV	Written Test on Units 3 & 4	0.1
19	SM	Unit 5. Processes. pp. 36–38.
20	SM	Unit 5. Processes. pp. 39–41.
21	SM	Unit 6. Planning. pp. 42–44.
22	SM	Unit 6. Planning. pp. 45–47.
23	SM	Review Unit C. pp. 48–49.
24	SM	Review Unit C. pp. 50–51.
25	EV	Written Test on Units 5 & 6	0.1
26	EV	Written Test on Units 5 & 6	0.1
27	EV	Oral Tests	0.1
28	EV	Oral Tests	0.1
29	EV	Oral Tests	0.1
30	EV	Oral Tests	0.1
31	SM	IT Article Reading & Comprehension
32	SM	IT Article Reading & Comprehension
33	SM	Unit 7. Products. pp. 52–54.
34	SM	Unit 7. Products. pp. 55–57.
35	SM	Unit 8. Incidents. pp. 58–60.
36	SM	Unit 8. Incidents. pp. 61–63.
37	SM	Review Unit D. pp. 64–65.
38	SM	Review Unit D. pp. 66–67.
39	EV	Written Test on Units 7 & 8	0.1
40	EV	Written Test on Units 7 & 8	0.1
41	SM	Unit 9. Agreements. pp. 68–70.
42	SM	Unit 9. Agreements. pp. 71–73.
43	SM	Unit 10. Testing. pp. 74–76.
44	SM	Unit 10. Testing. pp. 77–79.
45	SM	Review Unit E. pp. 80–81.
46	SM	Review Unit E. pp. 82–83.
47	SM	Unit 11. Accidents. pp. 84–86
48	SM	Unit 11. Accidents. pp. 87–89
49	SM	Unit 12. Assessment. pp. 90–92
50	SM	Unit 12. Assessment. pp. 93–95
51	SM	Review of Unit F. pp. 96–98
52	SM	Review Unit F. pp. 99–102
53	EV	Written Test on Units 9, 10, 11 & 12	0.25
54	EV	Written Test on Units 9, 10, 11 & 12	0.25
55	EV	Oral Tests	0.15
56	EV	Oral Tests	0.15
57	EV	Oral Tests	0.15
58	EV	Oral Tests	0.15
59	EV	Oral Tests	0.15
60	EV	Oral Tests	0.15

Bibliography

Core:

1. David Bonamy

Technical English, 2nd Edition, Level 4

Pearson Education. 2022.

ISBN: 978-129242449

C0241402

Computer Science 2

Código: C0241402 Imprimir

Profesores

Raúl Sacristán Montalvo - Coordinador

Objectives

The development of Internet-based systems and applications has become increasingly important in recent years. In fact, it is increasingly common to find systems and services that have moved their operations online or that utilise technologies specific to Internet languages and protocols. This development is taking place across the business and commercial sectors, as well as in the leisure and information sectors.

This module therefore covers the fundamental concepts relating to the design and development of Internet-based systems and the use of the languages employed for this purpose.

Prerequisites

None

Learning Outcomes

CG1. To independently acquire new knowledge and techniques suitable for the design, development or operation of computer systems.

CG3. Understand the social, ethical and professional responsibilities – and, where applicable, civil liabilities – associated with the work of a Computer Science Engineer and their role within the field of ICT and the Information and Knowledge Society

CE8. To design, deploy, organise and manage IT systems and services in business or institutional contexts to improve business processes, taking responsibility for and leading their implementation and continuous improvement, as well as assessing their economic and social impact.

• Solve problems through abstraction

• Design and implementation of real-world scenarios

• Formulating exercises and subsequently solving them

• Use of relevant literature

Learning outcomes

Ability to apply knowledge to the resolution of

real-world problems

Course content

The Internet, Internet services, Creating content for the Internet, REST APIs, WebApps,...

Learning activities

The training activities designed to enable students to acquire the intended competences during this module and to achieve the expected outcomes of the work undertaken will be:

1) Classroom presentations on concepts related to application development, as well as introductory sessions, discussions, exercises, etc.

2) Laboratory activities of increasing difficulty, enabling students to gradually develop the ability to solve problems independently, as well as project proposals, guided internet searches, webquests and other highly practical sessions.

3) Independent study, report writing, practical work, etc., carried out by individual students or groups of students.

4) Assessment tests

Assessment system and criteria

The assessment process will take into account the various learning outcomes.

Regular assessment period

- 40% from theoretical/practical exams.

- 40% from practical work

- 20% based on external work

Supplementary assessment

- 50% based on a final exam covering theoretical and practical content

- 50% based on practical work and assignments set during the course.

TOTAL:

FIRST FOUR-MONTH PERIOD

Code

Subjects

Character*

ECTS

C0241403

Object-Oriented Development

Código: C0241403 Imprimir

Profesores

David de la Antonia López - Coordinador
Angel de Antonio Bermejo

Objectives

The aim of the module is to equip students with the necessary skills to use and develop computer applications from the perspective of medium-complexity software projects (OOP).

Course content

Modularity and Reusability, Functional and object-oriented decomposition, Classes and objects, Relationships between classes: Inheritance and client-server relationships, Polymorphism and abstract classes, Interfaces and multiple inheritance, Generics, Exceptions, Assertions, Testing, verification and validation of programmes, Performance evaluation.

BLOCK 1. Principles of software applications and development

- Internal/external quality factors.

- Preliminary description of Object-Oriented Programming.

- Background and causes

- Modularity

- Reusability

- Functional decomposition vs object-oriented decomposition.

BLOCK 2. Elements of Object-Oriented Programming.

- Classes and objects.

- Relationships between classes: Inheritance and inheritance hierarchy.

- Polymorphism and abstract classes.

- Interfaces and multiple inheritance.

SECTION 3. Advanced elements of object-oriented programming.

- Generics.

- Error handling with exceptions.

- Assertions.

- Programme testing, verification and validation; performance evaluation.

Learning Activities

The teaching activities designed to enable students to acquire the intended competences during this module and to achieve the expected learning outcomes will be as follows:

1) Classroom presentations on concepts related to the topics covered in each subject and problem-solving exercises to enable students to understand how to tackle these problems, as well as other face-to-face group sessions such as discussion classes, group work, etc.

2) Laboratory activities of increasing difficulty, enabling students to gradually develop the ability to solve problems independently.

3) Carrying out work in small groups outside the classroom.

4) Independent study, report writing, practical work, etc., carried out by individual students or groups of students.

5) Assessment tests.

Assessment system and criteria

The assessment process will be carried out taking into account the various learning outcomes.

To this end, the following assessment activities will be used to gauge the extent to which each of the listed competences has been acquired:

Continuous assessment:

Practical assignments (50 per cent)

First practical assignment (40 per cent)

Second practical assignment (60%)

Exams (50 per cent)

First mid-term exam (40 per cent)

Second mid-term exam (60%)

To pass via continuous assessment, students must achieve a minimum mark of 4 in each and every practical session and mid-term exam. The average mark for practical sessions and exams must be 5 or above.

Regular exam: (100%)

Resit exam (100 %)

Timetable

Click on this link to view the detailed timetable in Excel

Session	Activity	Description	Assessment
1	LB	Course introduction
2	LB	Course introduction
3	MG	Introduction
4	MG	Introduction
5	LB	Programming Review
6	LB	Programming Revision
7	MG	Internal and external quality factors
8	LB	An Introduction to Object-Oriented Programming
9	LB	An Introduction to Object-Oriented Programming
10	MG	Background and causes (Modularity)
11	LB	Background and causes (Modularity)
12	LB	Background and causes (Modularity)
13	MG	Background and causes (Reuse)
14	LB	Background and causes (Reuse)
15	LB	Background and causes (Reuse)
16	MG	Background and causes (Functional decomposition versus Object-Oriented decomposition)
17	LB	UML: Unified Modelling Language
18	MG	Elements of Object-Oriented Programming
19	MG	Elements of Object-Oriented Programming
20	LB	Classes and Objects
21	LB	Classes and Objects
22	MG	Classes and Objects
23	MG	Classes and Objects
24	LB	Relationships between classes (Inheritance and Clientele)
25	LB	Relationships between classes (Inheritance and Clientele)
26	MG	Practical presentation	0.1
27	LB	Mid-term exam
28	LB	Mid-term exam	0.1
29	MG	Polymorphism and abstract classes
30	MG	Polymorphism and abstract classes
31	LB	Polymorphism and abstract classes
32	LB	Polymorphism and abstract classes
33	MG	Interfaces and multiple inheritance
34	MG	Interfaces and multiple inheritance
35	LB	Interfaces and multiple inheritance
36	LB	Interfaces and multiple inheritance
37	MG	Genericity
38	MG	Genericity
39	LB	Genericity
40	LB	Genericity
41	MG	Exception-based error handling
42	MG	Error handling using exceptions
43	LB	Error handling using exceptions
44	LB	Error handling using exceptions
45	LB	Code quality tools
46	LB	Code quality tools
47	MG	Assertions
48	MG	Assertions
49	LB	Assertions
50	LB	Assertions
51	MG	Queries, problems and practice
52	MG	Practical presentation	0.1
53	LB	Mid-term exam
54	LB	Mid-term exam	0.1
55	MG	Data Input and Output System in Java
56	MG	Data Input and Output System in Java
57	MG	Overall review of the module
58	MG	General review of the course
59	LB	Queries, problems and practice
60	LB	Questions, problems and practice
61	MG	Final exam
62	MG	Final exam	0.6

Bibliography

Core:

1. Joyanes Aguilar, Luis; Zahonero Martínez, Ignacio

Java 6 Programming: Algorithms and Object-Oriented Programming

McGraw-Hill. 2011.

ISBN: 978-607-15-06

Supplementary:

2.- J. Sánchez et al.

Java Programming 2

McGraw-Hill. 2005.

ISBN: 84-481-4591-7

3.- Meyer, Bertrand

Object-Oriented Software Development

2nd ed. Pearson Prentice Hall. 1999.

ISBN: 8483220407

4. Rumbaugh, James; Blaha, Michael; Premerlani, William; Eddy, Frederick; Lorensen, William

Object-Oriented Modelling and Design

Prentice Hall. 1997.

ISBN: 0-13-240698-5

C0241404

Business Economics

Código: C0241404 Imprimir

Profesores

Maria Camila Gutierrez Perez - Coordinador

Objectives

To provide students with the basic theoretical and practical knowledge enabling them to understand the nature of economic activity and, in particular, business activity.

Prerequisites

No prerequisites have been set for taking this module.

Skills

Basic proficiency in business management techniques.

Learning outcomes

Understanding of business topics.

Course content

Topic 1. The business, the entrepreneur and the business environment.

Topic 2. Business management and the decision-making process.

Topic 3. The production function of the business.

Topic 4. The financial function of the business.

Topic 5. Sales management. Marketing management.

Topic 6. Business plans.

Teaching activities

Theoretical lectures. Practical seminars. Theoretical and practical consultations. Independent study by students. Assessment tests.

Assessment system and criteria

The criteria for continuous assessment are as follows:

S2. Final knowledge assessments: 60%

- First assessed test: 30%

- Final exam: 30%

- These examinations will only be passed if a mark of 5 or above is obtained in each of the assessments

- To be included in the average mark, a minimum mark of 5 is required in each of the tests

S3. Portfolio (questionnaires, activities, assignments, etc.): 40%

REGULAR EXAMINATION PERIOD: students who have not passed the module through continuous assessment will sit an exam on the material they have failed during the January–February exam period; this will carry the same weighting as continuous assessment, whilst the remaining marks will be retained.

SUPPLEMENTARY SESSION: Students who have not passed the module in the ordinary session will sit an exam covering the entire syllabus in July; this exam will carry a weighting of 100%.

Bibliography

Essential:

1. Bueno Campos, E.

Basic Course in Business Economics

Pirámide. 2004.

ISBN: 8436807790

2. Bueno Campos, E.

Business Organisation: Structure, Processes and Models

Pirámide. 1997.

ISBN: 8436809769

C0241405

Computer Architecture

Código: C0241405 Imprimir

Profesores

Juan Miguel Gil García - Coordinador

Objectives

The main objective of the module is for students to understand the fundamentals of systems based on microprocessor and microcontroller programming as the basis for computer architecture.

In addition, students will learn about the elements of machine instructions and assembly language programming using the MIPS microprocessor, as well as their relationship with high-level languages, and will understand the levels of a computer’s memory hierarchy.

They will be able to evaluate the performance of an assembler programme as well as basic memory schemes

Prerequisites

No prerequisites have been set.

Knowledge of digital electronic devices and Boolean algebra is recommended.

Competencies

CG1. Independently acquire new knowledge and techniques suitable for the design, development or operation of computer systems.

CE1. To design and carry out IT projects using engineering principles and methodologies.

CE3. Define, evaluate and select hardware and software platforms for the development and execution of computer applications and services of varying complexity.

CE6. Design and develop centralised or distributed IT systems or architectures, integrating hardware, software and networks.

CE7. Propose, analyse, validate, interpret, install and maintain IT solutions in real-world situations across various areas of application within an organisation.

Understand the main hardware characteristics that affect the configuration and design of IT systems.

Define and evaluate the hardware required to undertake IT projects of varying complexity

Design software systems that manage hardware at a low level.

Design and implement digital circuits for projects of a certain level of complexity.

Understand and use the equipment in a digital electronics laboratory.

Learning outcomes

Design of sequential and combinational digital circuits.

Preparation of reports on the design, implementation and testing of low-level programmes and their laboratory testing.

Preparing reports on the hardware configuration of computer systems that meet specific criteria.

Understanding the evaluation and performance characteristics of hardware and their application to computer systems.

Knowledge of new hardware components and storage systems.

Knowledge of the use of equipment in a digital electronics laboratory.

Course content

Unit 1: Introduction to computer architecture. Revision of digital electronics. Concepts and components of a computer. Architectures. Instructions and programmes. Computer performance.

Unit 2: Instructions and addressing modes.

Basic concepts. Introduction to and characteristics of the MIPS architecture. Instruction formats and addressing modes. Set of

and programming structures.

Unit 3: Control unit and data path.

Introduction to processor design. The data path. Constituent blocks. Operation of the data path. Control unit.

Unit 4: Memory and Input/Output.

Memory: concepts and classification. Memory hierarchy. Cache management. Input/output subsystems.

Learning activities

The learning activities designed to enable students to acquire the intended competences during this module and to achieve the expected learning outcomes of the work undertaken will be:

1) Classroom presentations on concepts related to programmable digital electronics, basic computer concepts, and the configuration and evaluation of computer systems, enabling students to understand how to tackle configuration problems, as well as other face-to-face group sessions such as presentation classes, discussions, exercises, etc.

2) Laboratory activities of increasing difficulty, enabling students to gradually develop the ability to work independently in solving programming problems, as well as project proposals, guided internet searches, webquests and other sessions of a predominantly practical nature.

3) Independent study, report writing, practical work, etc., carried out by individual students or groups of students.

4) Assessment tests

Assessment system and criteria

The final mark for the module will be determined by taking the following assessments into account:

Assessed problems, Unit 1 ........... 5%

Assessed problems, Unit 2..............5%

Assessed exercises, Unit 3.............5%

Assessed problems, Unit 4.............. 5%

Continuous Assessment for Units 1 and 2.......... 40%

Continuous Assessment for Units 3 and 4 .......... 40%

To pass the module, students must achieve 5 out of 10 marks.

Alternatively, students may choose to be assessed for the course by a single examination in the ordinary examination session, the details of which are as follows:

questions covering the entire syllabus (closed-book) and

The pass mark for each part of the exam is 4 marks. Students who fail to achieve the pass mark in any part of the exam must sit the ordinary examination session for the part of the course they have not passed.

The supplementary exam will be exactly the same as that described above for students who opt for a single mark in the ordinary examination period.

C0241406

Operating Systems

Código: C0241406 Imprimir

Profesores

Rubén Romero Bousoño - Coordinador
Alejandro Lasso Castillo

Objectives

This module covers the most important aspects of Operating Systems that students of Technical Engineering in Computer Systems need to know.

The theoretical content begins with the basic concepts of physical machine architecture, before moving on to cover the main structural and functional aspects that characterise modern operating systems.

Throughout the course, the aim is for students to acquire a sound understanding of the main components that make up most operating systems and the way in which they are organised and carry out their respective functions.

The module will examine operating systems both from the perspective of the services they offer to users and applications, and from the perspective of the administration and management tasks they perform on all system resources under their control. With regard to the first point, it is considered very important that students become familiar with the use of the application programming interface (API) provided by the operating system to request its services and functional capabilities.

The aim will be to apply the knowledge acquired to two of today’s most popular operating systems: Linux and Windows.

Prerequisites

No prerequisites have been set.

Learning Outcomes

CG1. To independently acquire new knowledge and techniques suitable for the design, development or operation of computer systems.

CE1. To design and carry out IT projects using the principles and methodologies of engineering.

CE3. Define, evaluate and select hardware and software platforms for the development and execution of computer applications and services of varying complexity.

CE6. Design and develop centralised or distributed IT systems or architectures, integrating hardware, software and networks.

CE7. Propose, analyse, validate, interpret, install and maintain IT solutions in real-world situations across various areas of application within an organisation.

• Understand the generic architecture of operating systems: main components, their operation and how they interact.

• Understand how the operating system manages and administers the system’s physical and logical resources.

• Apply the tools and utilities provided by the operating system.

• Design and implement programmes that make use of the programming API provided by the operating system to request its services.

• Apply the concept of a thread to application development.

Learning outcomes

• Understanding of concepts relating to the structure and operation of operating systems.

• Design of processes that utilise the operating system’s services.

• Design of multi-threaded and distributed applications.

Course content

Introduction to Operating Systems, Processes and Threads, Processor Scheduling, Communication and Synchronisation, Memory Management, File Management and I/O.

Learning Activities

1) Classroom presentations on concepts relating to structured programming, object-oriented programming and algorithms, and problem-solving, enabling students to understand how to tackle these topics, as well as other face-to-face group sessions such as discussion classes, group work, etc.

2) Laboratory activities of increasing difficulty, enabling students to gradually develop the ability to solve programming problems independently, as well as project proposals, guided internet searches, webquests and other sessions of a predominantly practical nature.

3) Independent study, report writing, practical work, etc., carried out by individual students or groups of students.

4) Assessment tests

ECTS credit allocation ECTS credit allocation ECTS credit allocation ECTS credit allocation

The allocation of ECTS credits for each of the learning activities

listed above and for each of the modules is as follows:

1) 2) 3) 4) Total

Operating Systems 1 1 3.5 0.5 6

Assessment system and criteria

The assessment process will be carried out taking into account the various competences and learning outcomes. Accordingly, the following assessment activities will be carried out:

• 2 mid-term exams on the theoretical content.

• Practical case studies set in the modules, to be submitted by students.

Continuous Assessment:

In addition to an attendance rate of over 70% in both theoretical and practical classes, students must achieve 5 out of 10 in all mid-term exams and practical case studies. The mid-term exams on theoretical content account for 60 per cent of the overall continuous assessment mark and count towards exemption from the ordinary examination session. The practical content component, meanwhile, will account for 40 per cent of the overall continuous assessment mark. Students who do not achieve 5 out of 10 in continuous assessment must sit the exam in the ordinary examination session. IMPORTANT: The mark for the practical component will be carried over to both the ordinary and supplementary examination sessions, maintaining its 40 per cent weighting in the overall mark. However, no examination will be held on this content, nor will further submissions be permitted in either session.

Ordinary examination session:

Final exam on the theoretical content of the module. The exam will consist of two parts, one for each of the mid-term exams, and will therefore account for 60 per cent of the total mark. Students will be examined on the content corresponding to the mid-term exams they have not passed. The only exception is where, even having passed both mid-term exams, the continuous assessment mark is less than 5 out of 10. In this case, students will sit the exam covering the content corresponding to the exam with the lower mark. An overall mark of 5 out of 10 is required to pass the module. Students who do not achieve this mark must sit the final theory exam during the supplementary examination period.

Extraordinary examination session:

Final exam covering the theoretical content of the entire module, accounting for 60 per cent of the mark. An overall mark of 5 out of 10 is required to pass the module.

Timetable

Click on this link to view the detailed timetable in Excel

Session	Activity	Description	Assessment
1	SESSION	Introduction to the course. UD1
2	SESSION	Introduction to the course. Unit 1
3	ASSIGNMENT	Unit 1: Introduction to International Relations
4	ASSIGNMENT	Unit 1: Introduction to International Relations
5	SESSION	Unit 1: Introduction to International Relations
6	SESSION	Unit 1: Introduction to International Relations
7	ASSIGNMENT	P1: Introduction to the C Language
8	ASSIGNMENT	P1: Introduction to the C Language
9	SESSION	Unit 2: Processes and Threads
10	SESSION	Unit 2: Processes and Strands
11	ASSIGNMENT	P1: Introduction to the C Language	2.5
12	ASSIGNMENT	P1: Introduction to the C Language	2.5
13	SESSION	Unit 2: Processes and Threads
14	SESSION	Unit 2: Processes and Strands
15	ASSIGNMENT	P2: OS calls for process and thread management
16	ASSIGNMENT	P2: OS calls for process and thread management
17	SESSION	UD2: Processes and Threads
18	SESSION	Unit 2: Processes and Strands
19	ASSIGNMENT	P2: OS calls for process and thread management	2.5
20	TRAB	P2: OS calls for process and thread management	2.5
21	SESSION	UD3: Processor Scheduler
22	SESSION	Unit 3: Processor Planner
23	ASSIGNMENT	P3: Planning Exercises
24	ASSIGNMENT	P3: Planning Exercises
25	SESSION	UD3: Processor Planner
26	SESSION	Unit 3: Processor Planner
27	ASSIGNMENT	P3: Planning Exercises
28	ASSIGNMENT	P3: Planning Exercises
29	SESSION	UD3: Processor Planner
30	SESSION	Unit 3: Processor Planner
31	ASSIGNMENT	P3: Planning Exercises
32	ASSIGNMENT	P3: Planning Exercises
33	SESSION	Follow-up Test	15
34	SESSION	Follow-up Test	15
35	ASSIGNMENT	Unit 4: Communication and Synchronisation
36	ASSIGNMENT	Unit 4: Communication and Synchronisation
37	SESSION	Unit 4: Communication and Synchronisation
38	SESSION	Unit 4: Communication and Synchronisation
39	ASSIGNMENT	P3: Planning Exercises
40	ASSIGNMENT	P3: Planning Exercises
41	SESSION	UD4: Communication and Synchronisation
42	SESSION	Unit 4: Communication and Synchronisation
43	ASSIGNMENT	P3: Planning Exercises	2.5
44	ASSIGNMENT	P3: Planning Exercises	2.5
45	SESSION	UD5: Memory Management
46	SESSION	Unit 5: Memory Management
47	ASSIGNMENT	P4: Memory Management Exercises
48	ASSIGNMENT	P4: Memory Management Exercises
49	SESSION	UD5: Memory Management
50	SESSION	Unit 5: Memory Management
51	ASSIGNMENT	P4: Memory Management Exercises
52	ASSIGNMENT	P4: Memory Management Exercises
53	SESSION	Unit 5: Memory Management
54	SESSION	Unit 5: Memory Management
55	ASSIGNMENT	P4: Memory Management Exercises	2.5
56	ASSIGNMENT	P4: Memory Management Exercises	2.5
57	SESSION	Practical Exam / Business Project	10
58	SESSION	Practical Exam / Business Project	10
59	ASSIGNMENT	Exam	15
60	ASSIGNMENT	Exam	15

TOTAL:

SECOND FOUR-MONTH PERIOD

Code

Subjects

Character*

ECTS

C0241407

Databases

Código: C0241407 Imprimir

Profesores

Eduardo Gurría García - Coordinador
Biel Piero Alvarado Vasquez
Darío Redolat Negro
Romy Elena Rodríguez Ravines	Ver biodata Romy Ravines, PhD, has over 20 years of experience in business consulting based on advanced analytics. She is an expert in transforming data into practical knowledge for decision-making. Her areas of expertise include machine learning, artificial intelligence, business intelligence, econometrics, and Bayesian statistics. She holds a PhD in Statistics from the Federal University of Rio de Janeiro (UFRJ, Brazil), is the author of articles in scientific journals, and teaches at universities and business schools. She is currently Director of Research and Strategy Modeling at DeNexus. She is the author of articles in scientific journals, and teaches at universities and business schools.

Objectives

Data analysis and modelling processes are fundamental to the planning and development of modern information systems. The purpose of a data model is to represent the information elements of interest to a particular organisation, as well as the various relationships between them, and to serve as a foundation. The data model will ultimately be implemented in a database supported by a suitable computer system.

This module therefore covers the fundamental concepts relating to database design and the languages used to define and manipulate information.

For these reasons, the course aims to:

• Learn the basic concepts related to data modelling.

Understand the life cycle of the database design process

To learn how to use CASE tools that assist the database designer

To learn how to define the structure of a database using the appropriate language

To learn how to carry out queries for data retrieval and manipulation

Learn how to combine data manipulation languages with more powerful programming languages.

To familiarise students with various commercial databases.

Prerequisites

None

Skills

Develop IT projects of a certain level of complexity using engineering techniques that involve the use of relational databases.

Use professional-grade software development tools

This module specifically contributes to the following competences defined for the degree programme as a whole, although there are other competences to which it may also contribute:

1) To independently acquire new knowledge and techniques suitable for the design, development or operation of computer systems.

2) To design and carry out IT projects using the principles and methodologies specific to engineering.

3) To design, develop, evaluate and ensure the accessibility, ergonomics, usability and security of computer systems, applications and services, as well as the information they provide, in accordance with current legislation and regulations.

4) Define, evaluate and select hardware and software platforms for the development and execution of computer applications and services of varying complexity.

5) To design, develop and maintain software systems and applications using various software engineering methods and programming languages appropriate to the type of application to be developed, whilst maintaining the required quality standards.

6) Design and develop centralised or distributed IT systems or architectures, integrating hardware, software and networks.

7) Propose, analyse, validate, interpret, install and maintain IT solutions in real-world situations across various areas of application within an organisation.

Learning outcomes

Development and implementation of applications involving the design, implementation and administration of databases.

Drafting reports describing the processes of conception, analysis, design and development of applications using database management systems

Understanding concepts relating to database normalisation, design and administration, and their integration into information systems.

Course content

Data models, Relational model, Relational algebra, Normalisation, SQL, QBE,

Training activities

The teaching activities to be carried out to ensure that students acquire the intended competences and are able to achieve the learning outcomes will be:

1) Classroom presentations on concepts relating to databases, application usability and artificial intelligence techniques, as well as lectures, discussions, exercises, etc.

3) Independent study, report writing, practical work, etc., carried out by individual students or groups of students.

4) Assessment tests

Assessment system and criteria

The assessment process will be carried out taking into account the various learning outcomes.

To this end, the following assessment activities will be used to determine the

extent to which each of the listed competences has been mastered:

• Assessment of reports on various practical case studies set for students to solve by applying the knowledge acquired in the different modules.

• Submission of practical assignments and reports on their completion, as well as the student’s performance in the laboratory whilst carrying out the practicals.

• Tests conducted throughout the course to assess the competences the student is acquiring.

• Written examinations covering the full range of learning activities carried out in the classroom.

Continuous Assessment: This involves the tests and submissions set out in the course schedule, which are summarised below along with their percentage contribution to the final course mark:

Theoretical content examinations: 60%

Assignments and/or practical exams and/or practical coursework: 40% (IMPORTANT: Marks for the assessments in this section will be carried over to the ordinary and supplementary examination sessions should the student need to sit them. However, if they are not submitted or if marks of less than 5 are obtained in continuous assessment, these elements will NOT be eligible for resit in either of the two examination sessions.

In order to calculate the mark for continuous assessment, it is an essential requirement that a mark of 4 out of 10 or higher has been obtained in each exam or block of assignments.

C0241408

Statistics

Código: C0241408 Imprimir

Profesores

Susana Reichardt Moya - Coordinador	Ver biodata Doctora en Ciencias Económicas y Empresariales por la Universidad Complutense de Madrid, especialista en Métodos Cuantitativos. Cuenta con una amplia trayectoria en docencia universitaria y gestión académica, así como experiencia en estadística, análisis cuantitativo, innovación educativa y participación en proyectos de investigación. Su perfil combina solidez académica, capacidad analítica y experiencia docente en entornos universitarios.
Katrina Espinar Herranz
Romy Elena Rodríguez Ravines	Ver biodata Romy Ravines, PhD, has over 20 years of experience in business consulting based on advanced analytics. She is an expert in transforming data into practical knowledge for decision-making. Her areas of expertise include machine learning, artificial intelligence, business intelligence, econometrics, and Bayesian statistics. She holds a PhD in Statistics from the Federal University of Rio de Janeiro (UFRJ, Brazil), is the author of articles in scientific journals, and teaches at universities and business schools. She is currently Director of Research and Strategy Modeling at DeNexus.

Objectives

To understand the basic concepts, principles and techniques of statistics.

To apply statistical techniques to problem-solving.

To become familiar with the terminology specific to statistics.

To analyse the relationships between statistics and other branches of science and technology

Prerequisites

Basic knowledge of mathematics: differential and integral calculus

Skills

· Solve problems through abstraction

· Designing experiments based on real-world scenarios

· Carrying out and verifying experiments based on real-world scenarios

· Designing and carrying out real-world scenarios

· Analysing complex problems

· Setting exercises and subsequently solving them

· Use of relevant literature

· Possess the necessary mathematical, physical, economic and sociological foundations to interpret, select, evaluate and create new concepts, theories, applications and technological developments related to computer science, and their application.

Learning outcomes

· Ability to apply knowledge to the resolution of

real-world problems

· Carrying out research projects on

· Designing statistical experiments applied to the

resolving real-world cases

Course description

Probability theory. One-dimensional random variables. Parametric estimation. Regression and correlation. Sampling. Analysis of variance. Confidence intervals. Hypothesis testing. Introduction to multivariate analysis.

Teaching activities

1) Classroom presentation of concepts related to the subject and problem-solving exercises

to enable students to understand how to tackle them, as well as other

face-to-face group sessions such as discussion classes,

, etc.

2) Independent study, report writing, carrying out

practical work, etc., as independent work by the student or a group of

students.

3) Assessment tests.

Assessment system and criteria

The assessment activities will be as follows:

1- For competences involving the skills of information retrieval, analysis and synthesis, students will be required to produce reports, assignments, etc. based on real-life cases.

2- For competences relating to the use of technical tools, written tests and/or practical tests using these tools will be set. Students will also be required to submit practical assignments and reports on their progress.

3- For competences involving knowledge of the content covered through classroom-based learning activities, written examinations will be set, covering this content in various ways.

Two theoretical and practical written tests will be held during the term. To pass the module for the academic year (without sitting the official exam in the ordinary examination session), students must meet three requirements:

1. Achieve a mark of 5 or above in both tests.

2. Submit all practical assignments.

3. Attend classes regularly (attendance of over 70 per cent).

If the student meets the three requirements set out above, the final mark for the module will be calculated as follows:

1. The results of the written theoretical and practical tests, each carrying a

weighting of 45% each.

2. Practical assignments and projects, each accounting for 10%.

MAY–JUNE REGULAR EXAMINATION PERIOD: students who have not passed the module through continuous assessment will sit an exam covering the entire syllabus in May–June, which will account for 100% of the mark.

JULY SUPPLEMENTARY EXAMINATION SESSION: Students who have not passed the module in the May–June session will be examined on the entire syllabus in the July exam, which will account for 100% of the mark.

C0241409

Networks

Código: C0241409 Imprimir

Profesores

Paula Encinar Sanz - Coordinador
Ana María González Plaza
Eduard Andrés Osorio Vinasco

Prerequisites

Fundamentals of Communications Networks or its equivalent first-year module.

Learning Outcomes

• Understand the principles of communication protocols and layered architecture.

• To design and develop centralised or distributed computer systems or architectures, integrating hardware, software and networks.

• To design and implement a network structure involving interconnection devices.

• Configure network services and test that they are functioning correctly.

1) Independently acquire new knowledge and techniques suitable for the design, development or operation of IT systems.

2) To design and carry out IT projects using the principles and methodologies of engineering.

3) Define, evaluate and select hardware and software platforms for the development and execution of IT applications and services of varying complexity.

4) Design, develop and maintain software systems and applications using various software engineering methods and programming languages appropriate to the type of application to be developed, whilst maintaining the required quality standards.

5) To design and develop centralised or distributed IT systems or architectures, integrating hardware, software and networks.

Learning outcomes

Students will gain knowledge of networks at the physical and logical levels, as well as knowledge of network addressing configuration, quality of service and IPv6.

Students will be able to distinguish between the different addressing levels within the TCP/IP stack in order to decide which device is most suitable for each situation.

Students will be able to initiate a security audit of a network or professional working environment

Training activities

Two hours of theory per week:

Exercises set in class.

Discussions on current issues related to the syllabus.

Two hours per week in the lab:

Practical work following a script provided by the teacher.

Preparation of a report by the student.

C0241410

Programming Techniques

Código: C0241410 Imprimir

Profesores

Angel de Antonio Bermejo - Coordinador

Objectives

This module is divided into a series of modules designed to improve and refine the techniques students use in programming and testing applications. The modules comprising the course are:

1. Advanced Data Structures. This module introduces students to specialised techniques for defining data structures that model the real world.

2. Algorithmic Techniques. This module examines different approaches to algorithmic problem-solving that can be applied at various stages of computer-based problem-solving.

3. Programme Testing. The aim of this module is to make students aware of the importance of testing throughout the development process. Students will also be taught the most common techniques for testing programmes and computer systems.

Prerequisites

First-year courses in Programming Fundamentals and Data Structures.

Competencies

• Solve problems by applying abstraction

• Develop computer projects of a certain complexity using engineering techniques.

• To design, implement and maintain computer projects that apply current programming engineering techniques.

• Use professional-grade programming tools

To design and implement IT projects using engineering principles and methodologies.

Design, develop and maintain software systems and applications using various software engineering methods and programming languages appropriate to the type of application to be developed, whilst maintaining the required quality standards.

To design and develop centralised or distributed IT systems or architectures, integrating hardware, software and networks.

Learning outcomes

• Write programmes that utilise the various structures of modern programming languages

• Produce reports on the development, implementation and testing of programmes

• Debug programmes using a debugging environment

• Use professional-grade tools for programming, debugging and testing programmes

Course content

1. DATA STRUCTURES.

1.1 Introduction to the module

1.2 Definition of an abstract data structure

2. ADVANCED DATA STRUCTURES

2.1. Introduction

2.2. Graphs

2.2.1. Definitions and concepts

2.2.2. Representation of undirected and directed graphs

2.2.3. Operations

2.3. Hash Tables

2.3.1. Definitions and concepts

2.3.2. Choice of key transformation function

2.3.3. Handling collisions

2.3.4. Operations

2.4. Predefined data structures in the Java API

3. PROGRAM TESTING

3.1. Definitions

3.2. White-box techniques

3.3. Black-Box Techniques

3.4. Test case design

4. ALGORITHMS

4.1. Introduction. Brute-force algorithms.

4.2. Divide and Conquer

4.3. Greedy Algorithms

4.4. Dynamic algorithms

4.5. Backtracking algorithms

Learning activities

The learning activities designed to enable students to acquire the intended competences during this module and to achieve the expected outcomes of the work undertaken will be:

1) Classroom presentations on concepts relating to databases, application usability and artificial intelligence techniques, as well as introductory lectures, discussions, exercises, etc.

3) Independent study, report writing, practical work, etc., carried out by individual students or groups of students.

4) Assessment tests

Assessment system and criteria

The assessment process will be carried out taking into account the various competences.

To this end, the following assessment activities will be used to gauge the extent to which each of the listed competences has been mastered:

• Assessment of reports on various practical case studies set for resolution by applying the knowledge acquired in the different subjects.

• Submission of practical assignments and reports on their completion, as well as students’ performance in the laboratory whilst carrying out the practicals.

• Tests conducted throughout the course to assess the competences the student is acquiring.

• Written examinations covering the full range of learning activities carried out in the classroom.

Regular assessment period

Assessment will consist of the following components:

- 60% from two theoretical/practical examinations.

- 40% from laboratory practicals. Half of this will correspond to the first exam and the other half to the second exam.

Supplementary examination session

Assessment in the supplementary examination period will consist of two parts:

- 60% from a theoretical/practical exam.

- 40% from the course practicals.

TOTAL:

Third Year

FIRST FOUR-MONTH PERIOD

Code

Subjects

Character*

ECTS

C0341401

Systems Administration

Código: C0341401 Imprimir

Profesores

Rosa María Alvarez Diaz - Coordinador

Objectives

1) To independently acquire new knowledge and techniques suitable for the design, development or operation of computer systems.

2) To design and carry out IT projects using the principles and methodologies of engineering.

3) To define, evaluate and select hardware and software platforms for the development and operation of computer applications and services of varying complexity.

4) To design and develop centralised or distributed IT systems or architectures, integrating hardware, software and networks.

5) Propose, analyse, validate, interpret, install and maintain IT solutions in real-world situations across various areas of application within an organisation.

Prerequisites

None

Competencies

CG1. Independently acquire new knowledge and techniques appropriate for the design, development or operation of IT systems.

CE1. Design and carry out IT projects using engineering principles and methodologies.

CE3. Define, evaluate and select hardware and software platforms for the development and execution of computer applications and services of varying complexity.

CE6. Design and develop centralised or distributed IT systems or architectures, integrating hardware, software and networks.

CE7. Propose, analyse, validate, interpret, install and maintain IT solutions in real-world situations across various areas of application within an organisation.

• Understand the structural elements, network topologies, and the communication and synchronisation protocols and mechanisms used in distributed systems.

• Assume responsibilities regarding information security and protection.

Learning outcomes

• Produce reports on the installation, configuration, optimisation and operational audit of an operating system.

• Designing information security and protection policies.

• Use tools for the administration and configuration of an operating system

Course content

Course content

Operating system installation and configuration, user management, disk and file system management, service configuration and management, service logging and auditing, administration tools, performance and optimisation, security elements

Training activities

1) Classroom presentation of concepts relating to operating systems, discussion, exercises, etc.

3) Independent study, report writing, practical work, etc., carried out by individual students or groups of students.

4) Assessment tests

Assessment system and criteria

The module consists of two mid-term exams, weighted as follows:

1st Mid-term 20%

2nd Mid-term 30%

In addition, there are three assignments to be submitted throughout the course, accounting for 50% of the mark (10%, 20% and 20% respectively)

The final exam accounts for 50 per cent. Students may optionally sit a final exam covering the course’s examinable content.

There are also compulsory laboratory practicals, which account for 50 per cent of the mark.

To pass the module, students must achieve 5 out of 10 marks.

Students who do not achieve 5 out of 10 marks must sit the entire course in the supplementary examination session.

The supplementary examination may include questions on the entire syllabus, including laboratory practicals and course seminars.

C0341402

Software Engineering

Código: C0341402 Imprimir

Profesores

David de la Antonia López - Coordinador

Objectives

The aim of the Software Engineering module is to enable students to acquire expertise in the use of the most widely used software development approaches. This module will therefore cover software life cycles, the development of requirements specifications, the analysis of the necessary data models, and the appropriate management of quality and the evolution of software products.

Students will learn the main agile methodologies used in the workplace, as well as basic project and programme management in Software Engineering.

Course description

Prerequisites

None

Learning Outcomes

CG1. Independently acquire new knowledge and techniques suitable for the design, development or operation of computer systems.

CE1. To design and carry out IT projects using the principles and methodologies of engineering.

CE3. Define, evaluate and select hardware and software platforms for the development and execution of computer applications and services of varying complexity.

CE5. Design, develop and maintain software systems and applications using various software engineering methods and programming languages appropriate to the type of application to be developed, whilst maintaining the required quality standards.

CE6. Design and develop centralised or distributed IT systems or architectures, integrating hardware, software and networks.

CE7. Propose, analyse, validate, interpret, install and maintain IT solutions in real-world situations across various areas of application within an organisation.

· Design, develop and maintain software systems and applications using various software engineering methods.

· Design and carry out IT projects using the principles and methodologies specific to engineering.

· Define, evaluate and select software platforms for the development and execution of IT applications and services of varying complexity.

· Apply software quality criteria in the development of applications.

· Use professional-grade tools that support the development of software systems using a specific development methodology.

Learning outcomes

· Carry out the complete development of an IT system by applying analysis and design techniques that correspond to a software development methodology framework

· Understanding of different types of software development models and their application.

· Use professional-grade tools that support the development of software systems using a specific development methodology.

Prerequisites

None

Course content

Introduction to Software Engineering, Software Development Models, Analysis and Design Techniques, Quality in Computer Systems Development, Analysis and Design Languages.

Learning Activities

The teaching activities designed to enable students to acquire the intended competences during this module and to achieve the expected learning outcomes will be:

1) Classroom presentations on concepts related to software engineering, project management and technology management, as well as face-to-face group sessions such as presentations, discussions,

exercises, etc.

2) Practical work in small groups and other activities requiring the formation of student groups to carry them out.

3) Independent study, report writing, practical work, etc., carried out by individual students or groups of students.

4) Assessment tests.

Allocation of ECTS credits

1) 1

2) 1

3) 3.5

4) 0.5

Assessment system and criteria

The assessment process will be carried out taking into account the various learning outcomes. To this end, the following assessment activities will be used to gauge the extent to which each of the listed learning outcomes has been achieved:

2 Mid-term Exams (50% of the weighting in continuous assessment)

Practical Assignments (50% of the weighting in continuous assessment)

To pass the module through continuous assessment, students must achieve 5 out of 10 in all mid-term exams and practical assignments.

Students who do not achieve 5 out of 10 must sit the full module in the ordinary examination session.

The final exam in the ordinary examination period accounts for 100% of the mark

The final exam in the supplementary sitting accounts for 100%

Timetable

Click on this link to view the detailed timetable in Excel

Session	Activity	Description	Assessment
1	MG	Introduction to Software Engineering
2	MG	Introduction to Software Engineering
3	ASSIGNMENT	Tools for Software Engineering
4	ASSIGNMENT	Software Engineering Tools
5	MG	Requirements Engineering
5	MG	Requirements Engineering
7	ASSIGNMENT	Practical considerations when gathering requirements
8	TRAB	Practical considerations in requirements gathering
9	SESSION	Requirements engineering
10	MG	Requirements Engineering
11	ASSIGNMENT	Practical considerations when gathering requirements
12	TRAB	Practical considerations when gathering requirements
13	MG	Static and dynamic analysis
14	MG	Static and dynamic analysis
15	ASSIGNMENT	Practical considerations when gathering requirements
16	ASSIGNMENT	Practical considerations in requirements gathering
17	MG	Static and dynamic analysis
18	MG	Static and dynamic analysis
19	TRAB	Analysis of functional and non-functional requirements
20	ASSIGNMENT	Analysis of functional and non-functional requirements
21	MG	Design Methodology
22	MG	Design Methodology
23	EV	Follow-up test
24	EV	Follow-up test
25	MG	Design methodology
26	MG	Design Methodology
27	TRAB	Software Design
28	ASSIGNMENT	Software design
29	MG	Data Model
30	MG	Data model
31	TRAB	Software design
32	TRAB	Software design
33	MG	Data Models
34	MG	Data Models
35	WORK	Development
36	TRAB	Development
37	MG	Development methodologies
38	MG	Development methodologies
39	TRAB	Development
40	TRAB	Development
41	MG	Development methodologies
42	MG	Development methodologies
43	TRAB	Development
44	TRAB	Development
45	MG	Verification and Validation
46	MG	Verification and Validation
47	TRAB	Test Development
48	ASSIGNMENT	Test development
49	MG	Verification and Validation
50	MG	Verification and Validation
51	TRAB	Testing
52	TRAB	Testing
53	MG	Implementation plan
54	MG	Implementation plan
55	TRAB	Development of the implementation plan
56	TRAB	Development of the implementation plan
57	MG	Maintenance
58	MG	Maintenance
59	EV	Assessment test
60	EV	Assessment test

Bibliography

Essential:

1. S.R. Gómez Palomo, E. Moraleda Gil

An Introduction to Software Engineering

Ramón Areces University Press. 2020.

ISBN: 978-84-9961-3

C0341403

Concurrent Programming

Código: C0341403 Imprimir

Profesores

Alejandro Lasso Castillo - Coordinador

Skills

Core and general competences:

CB2 – Students should be able to apply their knowledge to their work or vocation in a professional manner and possess the competences typically demonstrated through the development and defence of arguments and the resolution of problems within their field of study.

CB3 – Students should be able to gather and interpret relevant data (usually within their field of study) in order to form judgements that include reflection on relevant social, scientific or ethical issues.

CB4 – Students should be able to communicate information, ideas, problems and solutions to both specialist and non-specialist audiences.

CB5 – Students should have developed the learning skills necessary to undertake further study with a high degree of autonomy.

CG1 – Critical and self-critical thinking, and the ability to demonstrate attitudes consistent with ethical and deontological principles.

CG2 – Ability to work independently and in an organised manner when developing solutions subject to strict time or budgetary constraints.

CG3 - The ability to carry out engineering-related projects individually, within interdisciplinary teams or in multicultural contexts.

CG4 - Ability to assess the social repercussions and impact of solutions and proposals in mathematical engineering, and to ensure compliance with quality standards and regulations applicable to the degree programme.

Transversal competences:

CT1 – Ability to apply acquired knowledge flexibly and creatively, and to adapt it to new contexts and situations.

CT2 – Ability to draft and prepare reports, written work and other documents in the field of Mathematical Engineering, communicating them clearly and effectively both in writing and orally.

CT3 – Ability to generate new ideas and incorporate them into day-to-day work.

Specific competences:

CE3 – The ability to propose, analyse, validate and interpret the most appropriate mathematical models and tools in real-world situations, in accordance with the objectives being pursued.

CE4 – Formulate problems from a professional context in mathematical language in a way that facilitates their analysis and resolution.

CE5 – Identify the different phases of the mathematical modelling process, distinguishing between formulation, analysis, solution and interpretation of results.

CE6 – Plan the resolution of a problem in accordance with the available tools and the constraints of time and resources.

CE7 – Use computer applications for statistical analysis, numerical and symbolic computation, graphical visualisation, optimisation or other purposes to solve problems.

CE8 – Be familiar with and use software programmes that solve mathematical problems with engineering applications, utilising the appropriate computing environment for each case.

CE9 – Plan and carry out projects in the field of Mathematical Engineering.

CE12 – Master and apply concepts of statistics and statistical inference to large datasets.

CE13 – Use data science methods (data management, machine learning) as part of the process of analysing large datasets in computing environments.

CE14 – Develop and use tools for visualising large volumes of data in order to communicate the results of the analyses carried out on them, adapting them to different audiences, both technical and non-technical.

Learning activities

AF1: Presentation of concepts related to the modules comprising each subject and the resolution of case studies enabling students to understand how to approach them, as well as other face-to-face group sessions such as discussion classes, group work, etc.

AF2: Practical activities of increasing difficulty that enable students to gradually acquire the ability to solve problems independently.

AF3: Independent study, report writing, practical work, etc., carried out by individual students or groups of students.

AF4: Assessment tests.

Timetable

Click on this link to view the detailed timetable in Excel

Session	Activity	Description	Assessment
1	MG	Chapter 1: Processes and threads
2	MG	Chapter 1: Processes and Threads
3	LB	Practical 1: Multithreading
4	LB	Practical 1: Multithreaded Programming
5	MG	Chapter 1: Processes and threads.
6	MG	Chapter 1: Processes and threads.
7	LB	Practical 1: Multithreading
8	EV	Practical 1: Multithreaded Programming	4%
9	MG	Chapter 2: Race Conditions and Mutual Exclusion.
10	MG	Chapter 2: Policy Conditions and Mutual Exclusion.
11	LB	Exercise 2: Race Conditions
12	LB	Practical 2: Race conditions
13	MG	Chapter 2: Race Conditions and Mutual Exclusion.
14	MG	Chapter 2: Policy Conditions and Mutual Exclusion.
15	LB	Exercise 2: Race Conditions
16	EV	Practical 2: Race conditions	4%
17	EV	Follow-up test	7.5%
18	EV	Follow-up test	7.5%
19	MG	Chapter 3: Concurrency with shared memory. Semaphores
20	MG	Chapter 3: Concurrency with shared memory. Semaphores
21	LB	Practical 3: Semaphores
22	LB	Practice 3: Traffic lights
23	MG	Chapter 3: Concurrency with shared memory. Semaphores
24	MG	Chapter 3: Shared-memory concurrency. Semaphores
25	LB	Practical 3: Semaphores
26	EV	Practical 3: Traffic lights	4%
27	MG	Chapter 4: Concurrency with shared memory. Monitors.
28	MG	Chapter 4: Concurrency with shared memory. Monitors.
29	LB	Practical Exercise 4: Using Monitors in Java
30	LB	Practical 4: Using monitors in Java
31	MG	Chapter 4: Concurrency with shared memory. Monitors.
32	MG	Chapter 4: Concurrency with shared memory. Monitors.
33	LB	Practical Exercise 4: Using Monitors in Java
34	EV	Practical 4: Using monitors in Java	4%
35	EV	Follow-up test	7.5%
36	EV	Follow-up test	7.5%
37	MG	Chapter 5: Concurrency with distributed memory. Message passing
38	MG	Chapter 5: Concurrency with distributed memory. Message passing
39	LB	Practical 5: Message passing
40	LB	Exercise 5: Message passing
41	MG	Chapter 5: Concurrency with distributed memory. Message passing
42	MG	Chapter 5: Concurrency with distributed memory. Message passing
43	LB	Practical 5: Message passing
44	LB	Exercise 5: Message passing
45	MG	Chapter 5: Concurrency with distributed memory. Deadlock
46	MG	Chapter 5: Concurrency with Distributed Memory. Deadlock
47	LB	Practical 5: Message passing
48	EV	Practical Exercise 5: Message Passing	4%
49	EV	Follow-up test	12.5%
50	EV	Follow-up test	12.5%
51	MG	Chapter 6: Classic Problems in Concurrent Programming
52	MG	Chapter 6: Classic Problems in Concurrent Programming
53	LB	Exercise 6: Multithreaded concurrent servers
54	LB	Practical 6: Concurrent multithreaded servers
55	MG	Chapter 6: Classic Problems in Concurrent Programming
56	MG	Chapter 6: Classic Problems in Concurrent Programming
57	LB	Exercise 6: Multithreaded concurrent servers
58	EV	Practical 6: Concurrent multithreaded servers	4%
59	EV	Follow-up test	10.5%
60	EV	Follow-up test	10.5%

C0341404

Event-Driven Programming

Código: C0341404 Imprimir

Profesores

Alejandro Triguero Fernández - Coordinador

Objectives

The aim of this module is to improve and refine the techniques students use in programming and testing applications. In particular, students will learn about event-driven programming, using graphical user interface (GUI) programming as a paradigm.

In the context of event-driven programming, the emergence of graphical environments has seen event-driven programming grow in importance as these environments have become more widespread. The event-driven programming paradigm focuses primarily on the development of the user interface and is combined with other paradigms such as object-oriented programming.

Prerequisites

Fundamentals of programming. Object-oriented programming.

Competencies

CG1. Independently acquire new knowledge and techniques suitable for the design, development or operation of computer systems.

CE1. To design and carry out IT projects using the principles and methodologies of engineering.

CE6. Design and develop centralised or distributed computer systems or architectures, integrating hardware, software and networks.

• Solve problems by applying abstraction

• Develop IT projects of a certain complexity using engineering techniques

• Design, implement and maintain IT projects that apply current programming engineering techniques.

• Use professional-grade programming tools

Learning outcomes

• Write programmes that utilise the various structures of modern programming languages

• Produce reports on the development, implementation and testing of programmes

• Debug programmes using a debugging environment

• Use professional-grade tools for programming, debugging and testing programmes

Course content

The concept of event-driven programming, event handling strategies, event propagation, the structure of an event-driven application, APIs for creating graphical user interfaces, and graphical user interface programming.

Training activities

The learning activities designed to enable students to acquire the intended competences during this module and to achieve the expected outcomes of the work undertaken will be:

1) Classroom presentations on concepts relating to databases, application usability and artificial intelligence techniques, as well as lectures, discussions, exercises, etc.

3) Independent study, report writing, practical work, etc., carried out by individual students or groups of students.

4) Assessment tests

Assessment system and criteria

The following assessment activities will be used to gauge the extent to which each of the listed competences has been acquired:

Assessment of reports on various practical case studies set for resolution by applying the knowledge acquired in the different subjects.

Submission of practical assignments and reports on their completion, as well as students’ performance in the laboratory whilst carrying out the practical work.

Assessments that follow the learning process and capture the skills the student is acquiring.

Written examinations covering the full range of learning activities carried out in the classroom.

Regular assessment period

The assessment will consist of the following parts:

- 50% from two theoretical/practical examinations.

- 50% from laboratory practicals. Half of this will correspond to the first exam and the other half to the second exam.

Supplementary examination

Assessment in the supplementary sitting will consist of two parts:

- 50% from a theoretical/practical exam.

- 50% from the course practicals.

C0341405

Advanced Operating Systems

Código: C0341405 Imprimir

Profesores

Antonio José Reinoso Peinado - Coordinador

Ver biodata

Alejandro Triguero Fernández

Objectives

This module will enable students to:

. Understand the main structural and functional characteristics of multiprocessing systems.

• Understand the main aspects of operating systems relating to the management and administration of multiprocessing systems.

. Understand the main multiprocessing systems (cell, grid, cluster)

. To utilise multiprocessing to speed up the execution of applications: Parallel Programming.

. Understand the main structural, functional and organisational characteristics of distributed systems.

.To understand the different types of distributed systems.

.Use programming elements related to distributed systems.

.Use communication and synchronisation tools specific to distributed systems.

.Learn the basics of shell scripting and the automation of administrative tasks

Prerequisites

None

Competencies

CG1. Independently acquire new knowledge and techniques suitable for the design, development or operation of computer systems.

CE1. Design and carry out IT projects using engineering principles and methodologies.

CE3. Define, evaluate and select hardware and software platforms for the development and execution of computer applications and services of varying complexity.

CE6. Design and develop centralised or distributed IT systems or architectures, integrating hardware, software and networks.

CE7. Propose, analyse, validate, interpret, install and maintain IT solutions in real-world situations across various areas of application within an organisation.

• Install, configure and manage IT systems running on one or more operating systems.

• Apply design techniques based on middleware and grid computing systems in the development of distributed applications.

Learning outcomes

Preparation of reports on the installation, configuration, optimisation and operational audit of an operating system.

Designing security and information protection policies.

Use of tools for the administration and configuration of an operating system

Course content

Operating systems for multiprocessor environments;

of multiprocessing, distributed and real-time systems

Learning activities

1) Classroom presentations on concepts relating to structured programming, object-oriented programming and algorithms, and problem-solving, enabling students to understand how to approach these topics, as well as other face-to-face group sessions such as discussion classes, group work, etc.

3) Independent study, report writing, practical work, etc., carried out by individual students or groups of students.

4) Assessment tests

ECTS credit allocation ECTS credit allocation

The allocation of ECTS credits for each of the learning activities listed above and for each of the modules is as follows:

1) 2) 3) 4) Total

Operating systems 1 1 3.5 0.5 6