Online degree in Computer Engineering

Objectives

The module ‘Communication in a Foreign Language I: English’ is a one-year module worth 6 credits. This course aims to equip students with the necessary methods to achieve a B1 level in English, 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)&#59&#59;&#59&#59;&#59&#59;&#59&#59; and the reading of texts (reading, comprehension and critical thinking).

Prerequisites

No prerequisites have been established.

Competencies

CG1 To acquire, independently, 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 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

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 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.

• Proficiency in a foreign language at a working level

• Basic command of communication techniques

Learning outcomes

• Proficiency in a foreign language

Description of course content

A) Functional content:

Listening to and commenting on radio and television programmes dealing with current affairs

Listen to and discuss matters of personal interest

Describing events

Describe feelings

Write personal letters

Express yourself orally whilst travelling

Talk about family, hobbies, travel and current events

Describe experiences, dreams and plans

Express an opinion

Retell a story or tale (from a book or film)

Writing simple texts related to the student’s interests

B) Grammar topics:

Present tenses

Different types of past tense (simple and perfect)

Different types of future tenses

Modes

Conditionals

Nouns and adjectives to describe personality and places

Comparative phrases

Quantifiers

Relative clauses

The passive voice

Indirect speech

C) Vocabulary

Expressions for showing agreement and disagreement

Adjectives and nouns to describe experiences and feelings

Adjectives describing personality

Restaurants and food

Holiday destinations, scenery and the weather

Vocabulary relating to sport and leisure activities

Vocabulary related to books, films and music

Vocabulary relating to current affairs and the media

Vocabulary relating to jobs and timetables

Family vocabulary

Training activities

1. Lectures: Theoretical and practical lessons in which concepts related to the subject matter are presented.

2. Problem-solving or practical case studies, computer lab sessions and other cooperative learning activities.

3. Independent study

4. Assessment activities

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.

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1. Ordinary and supplementary examination sessions

1.1 60 per cent of the final mark: Completion of written theoretical and/or practical examinations on the content covered in the blended-learning teaching activities.

1.2 20% of the final mark: Solving problems and/or practical case studies covering the content covered in the blended learning activities.

1.3 20% of the final mark: Completion of an assignment on the content covered in the blended-learning activities.

Bibliography

Core:

1. Dummet, Paul

Keynote Upper Intermediate

Cornelsen Verlag. 2018.

ISBN: 9781305880603

Supplementary:

2. Hancock, Mark

English Pronunciation in Use

Cambridge University Press. 2014.

ISBN: 9780521185141

3. Murphy, Raymond

English Grammar in Use: a self-study reference and practice book

Cambridge University Press. 2015.

ISBN: 9780521189064

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 content

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

Teaching activities

P1. – Lecture sessions

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, and literature reviews

P7. Knowledge tests

Assessment system and criteria

For both regular and supplementary examination sessions:

1. Continuous assessment (virtual campus activities): 40 per cent

1.1 Exercises and tests: 40%

1.2 Laboratory practicals: 20%

1.3 Final assignment: 40%

2. Final in-person exam: 60%

(1.1) The mid-term exercises will consist of two feedback exercises covering content from various topics.

(2) A minimum mark of 4 out of 10 is required in the final in-person examination to pass the module. A mark below 4 will result in the module being deemed not passed, regardless of the overall mark based on the other assessment criteria.

Bibliography

Essential:

1. Míguez J. V. et al.

Physical Fundamentals of Engineering: Electricity and Electronics.

1st ed. McGraw-Hill. 2010.

ISBN: 9788448174989

2. Rafael Magro Andrade

Fundamentals of Electricity and Magnetism

1st ed. García Maroto Editores. 2009.

ISBN: 9788493710514

Supplementary:

3.- Gómez Vilda P. et al.

Physical and Technological Foundations of Computer Science

1st ed. Pearson-Prentice Hall. 2007.

ISBN: 8489660859

4. Montoto San Miguel, Luis

Physical Fundamentals of Computing and Communications

Madrid: Thomson-Paraninfo, 2005. 2005.

ISBN: 8497324005

5. Serrano Domínguez, Víctor Gerardo

Electricity and Magnetism: Problem-Solving Strategies and Applications.

1st ed. Mexico City: Pearson Educación, 2001. 2001.

ISBN: 9684445016

6. Serway, R.A., and Jewett, J.W. Jr.

Electricity and Magnetism (6th edition)

1st ed. Thomson. 2004.

ISBN: 9706865381

Objectives

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

• To foster information and knowledge management skills.

• To provide a useful foundation for management and learning based on independent research using user-centred 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 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.

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:

Computers and their use; File management; Word processing; Spreadsheets; Use of databases; Presentations; The Internet; Email; Instant messaging; Other Internet services; Creating content for the Internet; Blogs.

Learning activities

V1. – Lectures: Viewing and presentation of content

V2.- Interactive synchronous classes

V3.- Workshop and/or laboratory activities in virtual environments

V4.- Guided exercises on the platform

V5. – Independent study

V6. Completing knowledge tests

Assessment system and criteria

For competences involving practical problem-solving skills, assessment will be based on the submission and presentation of case studies, as well as on students’ performance in the classroom during practical sessions.

For competencies relating to the use of tools, students will undertake practical case studies in the laboratories or group-based fieldwork.

Submission of practical assignments and reports on their progress.

For competences involving knowledge of subject content, a series of written examinations will be set to cover the full range of learning activities carried out in the classroom.

Ordinary and supplementary examination sessions

The assessment of the module consists of two parts (a mark of at least 4 in the final exam is required for the following percentages to apply):

- Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Exercises and tests for the units: 40%

* Final course assignment: 60%

- Final exam: 60%

Timetable

Click on this link to view the detailed timetable in Excel

Bibliography

Core:

1. Peña Pérez, Rosario

Office 2016:

Ediciones Altaria, 2015.

ISBN: 9788494404979

2. VALENTIN, HANDZ

OFFICE 2016 PRACTICAL COURSE

Ra-Ma. 2016.

ISBN: 9788499646343

Supplementary:

3.- CLAUDIA VALDES-MIRANDA

EXCEL 2016 (ESSENTIAL HANDBOOK)

Anaya Multimedia. 2016.

ISBN: 9788441538023

4. Lambert, Joan.

MOS 2016 Study Guide for Microsoft Excel:

Microsoft Press. 2016.

ISBN: 9780735699434

5. VALENTIN, HANDZ

EXCEL 2016 STEP BY STEP, 2nd UPDATED EDITION

Ra-Ma. 2016.

ISBN: 9788499646619

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 computing 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-specific 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

-Conic sections

-Trigonometry

-Vectors

-Vector product

-Scalar product

2-Functions of two variables.

-Domain

-Double limit

-Continuity

-Differentiability

-Differentiability

-Gradient vector

-Tangent plane

-Higher-order partial derivatives

-Extremes

3-Calculation of primitives

-Definite integral

-Riemann integral

-Fundamental theorem of calculus

-Calculation of antiderivatives

4-Applications of the definite integral

-Areas of plane regions

-Volumes of solids of revolution

-Volumes of solids using cross-sections

-Areas of surfaces of revolution

5-Multiple integrals

-Double integrals

-Triple integrals

-Volume of a solid using a triple integral

Training activities

V1. – Lectures: Viewing and presentation of content

V2.- Interactive synchronous classes

V3.- Workshop and/or laboratory activities in virtual environments

V4. – Guided exercises on the platform

V5. – Independent study

V6. Completing knowledge tests

Assessment system and criteria

Regular and supplementary examination sessions

The assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Exercises and tests for each unit: 40%

* Final assignment for the module: 60%

* Final examination: 60%

Bibliography

Core:

1. by Mingo

Calculus

Bellisco. 2009.

ISBN: 8496486370

2. by Mingo

Calculus Exercises

Bellisco. 2006.

ISBN: 9788496486782

3. Guervos Sánchez, Esther

Fundamentals of Mathematics: Theoretical Concepts and Problems

Bellisco. 2005.

ISBN: 8496486141

4. Guervós Sánchez, Esther

Introduction to Calculus

García-Maroto Editores. 2008.

ISBN: 9788493629984

Supplementary:

5.- Juan de Burgos

Infinitesimal Calculus

García-Maroto. 2006.

ISBN: 8493478563

Others:

6. Larson / Hostetler / Edwards

Calculus (Vol. 1 and 2).

McGraw-Hill. 2010.

ISBN: 9786071502

Objectives

Information systems, data analysis and retrieval, etc. Document management, databases and operating systems. Basic structure of applications, 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

None

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 use efficiently 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 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 operate 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, 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.

Course content:

-Introduction to programming. Structure of a programme

-Identifiers. Variables. 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

Training activities

V1.- Lectures: Viewing and Presentation of Content

V2.- Interactive synchronous classes

V3.- Workshop and/or laboratory activities in virtual environments

V4.- Guided exercises on the platform

V5. – Independent study, self-directed work on case studies, challenges, projects or problems, and literature reviews

V7.- Completing knowledge assessments

Assessment system and criteria

Regular and supplementary assessment sessions

Assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

A minimum mark of 4 in the final exam is required for the continuous assessment to be taken into account.

Reading list

Essential:

1.-

Java 2: Introduction and Reference

2nd ed. Madrid [etc.]: McGraw-Hill Interamericana de España, 2005.

ISBN: 8448198166

2. Sánchez

Programming in Java

Madrid [etc.]: McGraw-Hill, 2009. 2009.

ISBN: 9788448161071

0.

Objectives

To enable students to:

1. Develop oral and written expression 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. Make effective use of expressive, textual, contextual and documentary resources.

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 established.

Learning outcomes

RC16 Ability to enter and integrate into a real professional environment relevant to 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-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:

Introduction to human communication.

Communication in the workplace.

General writing: processes and methods.

Professional texts.

Oral communication.

The desire for a positive image.

Acts that threaten one’s image (AAIP).

Verbal courtesy.

Qualitative studies of the main strategies of verbal courtesy in various types of contexts: conversations, interviews, speeches, etc.

Conflict management.

Negotiation discourse.

A qualitative study of the main agreements and conventions.

Etiquette and social interaction.

Business etiquette.

Official state protocol.

Training activities

V1.- Lectures: Viewing and presentation of content

V2.- Interactive synchronous classes

V4.- Guided exercises on the platform

V5. – Self-study

V6.- Completing knowledge tests

Assessment system and criteria

Regular and supplementary assessment periods

Assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

Timetable

Click on this link to view the detailed timetable in Excel

Reading list

Core:

1. ALCARAZ VARÓ, E.; J. MATEO MARTÍNEZ

Professional and Academic Languages.

Ariel. 2007.

ISBN: 9788434481220

2. Aranzadi Tellería, Dionisio

The Art of Being a Business Leader Today

Deusto. 2000.

ISBN: 8474856728

3. Borrell i Carrió, F.

How to work as a team: and build good relationships with managers and colleagues

Gestión 2000. 2004.

ISBN: 8480889705

4. Borrell, Francesc

Communicate Well, Lead Better

Barcelona: Gestión 2000, 2002. 2002.

ISBN: 8480887249

5. Cardona Soriano, Pablo and García Lombardía, Pilar

How to Develop Leadership Skills

EUNSA. 2007.

ISBN: 8431323094

6. Cordón, José Antonio, et al.

A Handbook on Document Searching and Bibliographic Practice

Pirámide. 1999.

ISBN: 8436812026

7. David V. Feliciano

Rules and Correct Usage of Modern Spanish

Tirant Humanidades. 2011.

ISBN: 9788493931605

8. Felipe Portocarrero

Profitable Writing

SM. 2001.

ISBN: 9788434876026

9. Fernando Martínez

Written Communication

Centre for Financial Studies. 2012.

ISBN: 9788445421468

10. Flora Davis

Non-verbal Communication

Alianza Editorial. 2010.

ISBN: 9788420664248

11. Gómez Torrego, Leonardo

Speaking and Writing Correctly

Madrid, Arco Libros. 2006.

ISBN: 8476356536

12. Jesús Mesanza

How to Write Well: Spelling and Related Topics

Editorial Esceual Española. 1995.

ISBN: 9788433106582

13. Jesús Sánchez Lobato

How to Write

Madrid: Aguilar, 2006. 2006.

ISBN: 8403097239

14. Josefa Gómez de Enterría

Business Correspondence in Spanish

SGEL. 2002.

ISBN: 9788471434265

15. Josefa Gómez de Enterría y Sánchez

Communication in the workplace

Arco Libros. 2002.

ISBN: 978847635508

16. Montolío, Estrella

A Practical Guide to Academic Writing

Barcelona: Ariel, 2000. 2000.

ISBN: 8434428695

17. Royal Spanish Academy

Dictionary of the Spanish Language

[Madrid]: Royal Spanish Academy, 2001. 2001.

ISBN: 8423968146

18. Royal Spanish Academy

Spelling of the Spanish Language

Espasa-Calpe. 2010.

ISBN: 9788467034264

19. Torres, Isabel

Sources of Information: Theoretical and Practical Studies

Madrid: Sntesis, 1999. 1999.

ISBN: 8477384606

20. Trujillo, José Ramón

Negotiation, Communication and Verbal Courtesy: Theory and Techniques

Madrid: Ediciones 2010, 2004. 2004.

ISBN: 8495058537

21. Various authors

The Art of Speaking

Aguilar. 2008.

ISBN: 9788403098060

Supplementary:

22. Beatriz Lucía

Communication Skills. Training Programme

Autonomous University of Madrid. 2008.

ISBN: 9788483441190

23. Gómez de Enterría y Sánchez, Josefa

Oral Communication in the Workplace

Madrid: Arco Libros, [2008]. 2008.

ISBN: 9788476357095

24. Jesús Mesanza

Speaking and Writing Correctly: Blunders, Incorrect Usage and Uncertainties in Spoken and Written Spanish

WOLTERS KLUWER EDUCACION. 2009.

ISBN: 9788471979100

25. Miles Paterson

More than Words: The Power of Verbal Communication

UOC. 2011.

ISBN: 9788497889179

26. Various authors

Non-verbal Communication and Leadership

Netbiblo. 2010.

ISBN: 9788497454971

Others:

27.- Gaspar González

Techniques for Telephone Conversations

Edelsa. 2008.

ISBN: 9788477115595

28. Manuel Campo Vidal

Why Don’t Professionals Communicate Better?

RBA Books. 2011.

ISBN: 9788490061244

29. Manuel Campo Vidal

Why don’t professionals communicate better?

Plaza. 2008.

ISBN: 9788401379857

30. Manuel Cifo

Oral and Written Communication in the Spanish Language

Diego Marin. 2012.

ISBN: 9788415429326

31. Marcus Tullius Cicero

The Perfect Orator

Autonomous University of Mexico. 1991.

ISBN: 9789683669841

32. Margarita Recasens

Oral Comprehension and Expression

CEAC. 2003.

ISBN: 9788432986598

Objectives

This module builds upon and complements the knowledge covered in the Programming modules, delving deeper into basic structures widely used in software development and 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 established.

Learning outcomes

RK4 Basic knowledge of the use and programming of computers, operating systems, databases and computer programmes 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 knowledge of current theories, models and techniques.

RC1 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 operate 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:

Part I. Collections in Java

Topic 1: Introduction. Data.

- Data Types.

- Primitive types.

- Composite types.

- Objects and references.

Topic 2: Collections in Java

- Structure and organisation

- Collection and Iterator

- Lists: ArrayList and LinkedList

- Trees: TreeSet

- Hash Tables: Hashtable

- Collections and Arrays classes

Part II. Fundamental Data Structures.

Topic 3: Linear Structures.

- Singly linked lists.

- Double-linked lists.

- Circular Lists.

- Stacks.

- Queues.

Topic 4: Trees.

- Binary trees.

- Binary search trees.

- Generalised trees.

Part III: Algorithms and algorithmic complexity.

Topic 5: Algorithmic complexity

- Definitions and concepts.

- Calculus

Topic 6: Search algorithms and their complexity

- Linear.

- Binary.

- Insertion into a sorted array.

Topic 7: Sorting algorithms and their complexity

- Insertion sort

- Selection sort

- Swap sort.

- Advanced sorting methods.

- Comparison of methods.

Training activities

V1. – Lectures: Viewing and presentation of content

V2.- Interactive synchronous classes

V3.- Workshop and/or laboratory activities in virtual environments

V4.- Guided exercises on the platform

V5. – Independent study, self-directed work on case studies, challenges, projects or problems, and literature reviews

V7.- Completing knowledge assessments

Assessment system and criteria

Assessment model for the standard and supplementary examination sessions

1) 60% Face-to-face examination.

2) 40% Continuous assessment on the online platform, broken down as follows:

- 60% Final assignment

- 40% Other assignments, exercises, tests, etc.

Reading list

Core:

1. Joyanes Aguilar, Luis

Data Structures in Java

Madrid [etc.]: McGraw-Hill, 2008. 2008.

ISBN: 9788448156312

2.- Narciso Martí Oliet; Yolanda Ortega Mallén; Alberto Verdejo

Data Structures and Algorithmic Methods: 213 Solved Exercises. 2nd edition

Garceta Publishing Group. 2013.

ISBN: 9788415452652

3. Weiss, Mark Allen

Data Structures and Problem Solving Using Java

Massachusetts: Addison-Wesley, 1998. 1998.

ISBN: 0201549913

Objectives

To acquire a basic understanding of:

- Advanced aspects and trends in computer networks: support for quality of service, advanced switching, IPv6...

- Network technologies and protocols used in modern networks: dynamic configuration, security, network interconnection mechanisms, etc.

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 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 module content:

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, VLAN trunking, WAN technologies, point-to-point protocols, physical technologies.

Training activities

V1. – Lecture sessions: Viewing and presentation of content

V2. – Interactive synchronous classes

V4. – Guided exercises on the platform

V5. – Self-study

V6. – Completion of knowledge tests

Assessment system and criteria

Regular and supplementary examination sessions

Assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

Reading list

Core:

1. Feit, Sidnie

TCP/IP: Architecture, Protocols and Implementation with IPv6

Madrid: McGraw Hill, 2004. 2004.

ISBN: 8448142969

2. Stallings, William

Computer Networks and Communications

Madrid [et al.]: Pearson Education, 2004. 2004.

ISBN: 8420541109

3. Tanenbaum, Andrew S.

Computer Networks

Mexico: Pearson Education, 2003. 2003.

ISBN: 9702601622

Objectives

This module aims to provide students on the Bachelor’s Degree in Computer Engineering with the necessary mathematical foundations. Theoretical discussions will be limited to what is strictly necessary to understand and assimilate the most important concepts of the module, with greater emphasis placed on problem-solving.

The concepts of differential and integral calculus will be expanded, first for functions of a single real variable and then extended to functions of several real variables and multidimensional regions, as well as to integration along curves and over surfaces. The concepts of differential equations will also be covered.

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-related 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. Ordinary differential equations.

· First-order ordinary differential equations.

· An introduction to the numerical solution of differential equations.

2. Multiple integration.

· Multiple integrals.

· Line integrals.

· Surface integrals.

3. Matrices and systems of equations.

· Matrices.

· Vector spaces.

· Linear mappings.

· Algebraic structures.

4. Discrete mathematics.

The timetable is indicative.

Training activities

V1. – Lectures: Viewing and presentation of content

V2. – Interactive synchronous classes

V3.- Workshop and/or laboratory activities in virtual environments

V4. – Guided exercises on the platform

V5. – Independent study

V6. Completing knowledge tests

Assessment system and criteria

Regular and supplementary assessment periods

Assessment for this module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

Reading list

Essential:

1. Burgos Román, Juan de

Linear and Numerical Algebra:

García-Maroto. 2011.

ISBN: 9788415214403

2. Burgos Román, Juan de

Integration on Curves and Surfaces:

Las Rozas, Madrid: García-Maroto Editores, D.L. 2. 2009.

ISBN: 9788492976201

3. Burgos Román, Juan de

Sequences and Series:

: García-Maroto Editores. 2009.

ISBN: 9788492976263

4. García Collado, Ángel J.

Vector Analysis for Engineering Students

García-Maroto. 2013.

ISBN: 9788415475989

5. Marsden, Jerrold E.

Vector Calculus

Argentina [etc.]: Addison-Wesley Iberoamericana, 1991.

ISBN: 0201629356

6. Marsden, Jerrold E.

Vector Calculus

: Pearson Addison-Wesley. 2004.

ISBN: 9788478290697

7. Zill, Dennis G.

Differential Equations with Applications

: Grupo Editorial Iberoamérica. 1988.

ISBN: 9687270454

8. Zill, Dennis G.

Differential Equations with Boundary Value Problems

Mexico City: Thomson, 2002. 2002.

ISBN: 9706861335

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

General content:

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

Topic 1: Introduction to binary systems.

Digital representation of information: number systems and codes. Boolean algebra.

Topic 2: Two-level combinational logic.

Logic functions and switches. Logic gates. High-impedance gates.

Topic 3: Programmable logic devices.

Programmable logic arrays (PAL, PLA and ROM).

Topic 4: Functional modules based on combinational logic.

Multiplexers. Demultiplexers. Encoders. Decoders. Arithmetic modules. Memories.

Topic 5: Introduction to sequential logic circuits

Types of flip-flops. Relationships between flip-flops. Timing diagrams. State diagrams

Topic 6: Functional modules based on sequential logic.

Storage registers. Shift registers. Counters.

Topic 7: Introduction to programmable systems.

Study of the components that make up a microprocessor system: CPU, memory, input/output interface. The concept of buses. How a microprocessor works. Introduction to programming.

Laboratory practicals:

Practical 1: Verifying a truth table.

Practical 2: Encoders and decoders.

Practical 3: Designing a digital clock.

Teaching activities

V1. – Lectures: Viewing and presentation of content

V2. – Interactive synchronous classes

V3.- Workshop and/or laboratory activities in virtual environments.

V4. – Guided exercises on the platform

V5. – Independent study.

V6. Completing knowledge tests

Assessment system and criteria

Regular and supplementary assessment periods

Assessment for this module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40 per cent

* Final exam: 60%

Reading list

Essential:

1. J. C. Hernández Martín

Digital and Microprogrammable Electronics

Thomson Paraninfo. 2007.

ISBN: 9788497325059

2. Thomas L. Floyd

Fundamentals of Digital Systems

Pearson Prentice Hall. 2006.

ISBN: 8483220857

Supplementary:

3.- Angulo Usategui, José Mª

Digital Systems and Computer Technology

2nd ed. Australia: Thomson, 2001. 2001.

ISBN: 8497320425

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 terminology appropriately.

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 established.

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 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-disciplinary perspective, clearly inspired by democratic principles and values, as well as the Sustainable Development Goals, in order to conduct oneself 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:

<b>Written communication </b>

General and applied writing.

Professional texts in ICT engineering.

Summarising.

ICT-specific vocabulary and terminology.

Information and cataloguing.

Electronic resources.

Training activities

V1. – Lectures: Viewing and presentation of content

V2. – Interactive synchronous classes

V4. – Guided exercises on the platform

V5. – Independent study

V6. – Completing knowledge tests

Assessment system and criteria

Regular and supplementary assessment sessions

Assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

Timetable

Click on this link to view the detailed timetable in Excel

Bibliography

Core:

1. David V. Feliciano

Correct Rules and Usage of Modern Spanish

Tirant Humanidades. 2011.

ISBN: 9788493931605

2. Escandell Vidal, María Victoria

Communication

1st ed. Madrid: Gredos, 2005. 2005.

ISBN: 8424927397

3. Felipe Portocarrero

Profitable Writing

SM. 2001.

ISBN: 9788434876026

4. Fernando Martínez

Written Communication

Centre for Financial Studies. 2012.

ISBN: 9788445421468

5. Flora Davis

Non-verbal Communication

Alianza Editorial. 2010.

ISBN: 9788420664248

6. Gómez Torrego, Leonardo

Teaching Grammar of Spanish

SM. 2007.

ISBN: 9788467515497

7. Gómez Torrego, Leonardo

Speaking and Writing Correctly

Madrid, Arco Libros. 2006.

ISBN: 8476356536

8. Jesús Mesanza

How to Write Well: Spelling and Related Topics

Editorial Esceual Española. 1995.

ISBN: 9788433106582

9. Jesús Sánchez Lobato

Knowing How to Write

Madrid: Aguilar, 2006. 2006.

ISBN: 8403097239

10. Josefa Gómez de Enterría

Business Correspondence in Spanish

SGEL. 2002.

ISBN: 9788471434265

11. Josefa Gómez de Enterría y Sánchez

Communication in the workplace

Arco Libros. 2002.

ISBN: 978847635508

12. Montolío, Estrella

A Practical Guide to Academic Writing

Barcelona: Ariel, 2000. 2000.

ISBN: 8434428695

13. Royal Spanish Academy

Dictionary of the Spanish Language

[Madrid]: Royal Spanish Academy, 2001. 2001.

ISBN: 8423968146

14. Royal Spanish Academy

Spelling of the Spanish Language

Espasa-Calpe. 2010.

ISBN: 9788467034264

15. Scott, Bill

Oral and Written Communication

Deusto. 1993.

ISBN: 842341194X

16. Various authors

The Art of Speaking

Aguilar. 2008.

ISBN: 9788403098060

Supplementary:

17. Beatriz Lucía

Communication Skills. Training Programme

Autonomous University of Madrid. 2008.

ISBN: 9788483441190

18. Gómez de Enterría y Sánchez, Josefa

Oral Communication in the Workplace

Madrid: Arco Libros, [2008]. 2008.

ISBN: 9788476357095

19. Jesús Mesanza

Speaking and Writing Correctly: Blunders, Incorrect Usage and Doubts in Spoken and Written Spanish

WOLTERS KLUWER EDUCACION. 2009.

ISBN: 9788471979100

20. Miles Paterson

More than Words: The Power of Verbal Communication

UOC. 2011.

ISBN: 9788497889179

21. Various authors

Non-verbal Communication and Leadership

Netbiblo. 2010.

ISBN: 9788497454971

Others:

22. Gaspar González

Techniques for Telephone Conversations

Edelsa. 2008.

ISBN: 9788477115595

23. Manuel Campo Vidal

Why Don’t Professionals Communicate Better?

RBA Books. 2011.

ISBN: 9788490061244

24. Manuel Campo Vidal

Why don’t professionals communicate better?

Plaza. 2008.

ISBN: 9788401379857

25. Manuel Cifo

Oral and Written Communication in Spanish

Diego Marin. 2012.

ISBN: 9788415429326

26. Marcus Tullius Cicero

The Perfect Orator

Autonomous University of Mexico. 1991.

ISBN: 9789683669841

27. Margarita Recasens

Oral Comprehension and Expression

CEAC. 2003.

ISBN: 9788432986598

Objectives

The course ‘Communication in a Foreign Language 2’ is a one-year course worth 6 credits. This course aims to train students in the use of a foreign language, with a particular focus 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).

Prerequisites

No prerequisites have been set, although it is recommended that students have completed ‘Communication in a Foreign Language 1’.

Competencies

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 liabilities – associated with the work of a Computer Science 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. 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.

• Proficiency in a foreign language at a working level

• Proficiency in communication techniques at a basic level

Learning outcomes

• Proficiency in a foreign language

Description of course content

A) Functional content:

Listening to and commenting on current affairs

Listening to and commenting on matters of personal interest

Describing events

Describing feelings

Write personal and informal texts, as well as technical and/or formal ones

Write relatively complex texts on general and specific topics, as well as on personal interests

Express yourself orally in everyday, informal, professional and formal situations

Talk about family, hobbies, travel, preferences, reasons for studying abroad, the environment, jobs, adventure sports, health, shopping, animals, places to live, festivals, technology and current events

Express and defend an opinion&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59; to suggest, to express agreement or disagreement, to ask for opinions: to introduce an opinion, explanation or example&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59; speculate

B) Grammar Topics:

Present tenses (simple present, present continuous, simple past, past continuous)

Past tenses (simple past, past perfect, pluperfect and perfect past)

Used to

Different ways of expressing the future

Conditional sentences

Modal verbs

Wish, if only, hope

Look, seem, appear

The passive voice

Verbs followed by the infinitive and/or -ing

Adjectives ending in –ed / -ing

Comparative forms of adjectives and adverbs

As / like

So / Such&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59; Too / Enough

Questions&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59; indirect questions

Countable and uncountable nouns

Articles

Pronouns and relative clauses

Indirect speech

Words used to express contrast&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59;&#59; when, if, in case, even if, even though, whether

C) Lexical Content

Collocations

Phrasal verbs

Expressions for showing agreement and disagreement

Adjectives and nouns to describe experiences and feelings

Adjectives describing personality

Vocabulary related to: studies, leisure time, holidays, the environment, work, adventure sports, television, shopping, types of housing, the body (medical vocabulary), technology

Journey, trip, travel, way

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 activity: introductory activities, practical activities and oral and written production activities. All of these will be carried out under the supervision of the teacher 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 tasks to test comprehension of these texts.

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

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 pupil 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, of a higher level of difficulty 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, either with or without teacher supervision.

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

4) Assessment tests.

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 shall be the sole assessment criterion, with the weighting specified in the course syllabus.

----

1. Ordinary and supplementary examination sessions:

1.1 60% of the final mark: Written theoretical and/or practical examinations on the content covered in the blended-learning teaching activities.

1.2 20% of the final mark: Solving problems and/or practical case studies covering the content covered in the blended-learning activities.

1.3 20% of the final mark: Completion of an assignment on the content covered in the blended-learning teaching activities.

Bibliography

Core:

1. Roy Norris

Ready for First (3rd Edition) Student’s Book (without answer key)

Macmillan. 2013.

ISBN: 9780230440012

Supplementary:

2. Helen Stephenson, Lewis Lansford, Paul Dummet

Keynote Upper Intermediate. Student’s Book and Workbook

SGEL. 2016.

ISBN: 978-1-337-561

3. Roy Norris and Lynda Edwards

Ready for First (3rd Edition) Workbook (with answer key and audio CD)

Macmillan. 2013.

ISBN: 9780230440074

Others:

4. Barbara Thomas and Amanda Thomas

Complete First Certificate – Workbook

Cambridge English. 2011.

ISBN: 9788483237328

5. Christopher Jacques

Technical English Level 3. Workbook (with Answer Key and Audio CD Pack)

Pearson Longman. 2011.

ISBN: 9781408267981

6. David Bonamy

Technical English 3. Coursebook (2nd Edition)

2nd ed. Pearson Longman. 2008.

ISBN: 9781292424484

7. Guy Brook-Hart

Complete First Certificate – Student’s Book

Cambridge English. 2011.

ISBN: 9788483237267

8. Guy Brook-Hart

Complete First Certificate. Cambridge English: First. Student’s Book.

Cambridge University Press. 2011.

ISBN: 9788483237267

9. Martin Hewings

Advanced Grammar in Use: A Self-Study Reference and Practice

Cambridge University Press. 1999.

10. Michael Vince and Peter Sunderland

Advanced Language Practice (with answer key)

Macmillan. 2003.

ISBN: 9781405007627

11. Raymond Murphy

English Grammar in Use (with answer key)

Cambridge University Press. 2003.

ISBN: 9780521532891

12. Simon Collin

Dictionary of Science and Technology

Bloomsbury. 2003.

ISBN: 0747566208

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.

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 liabilities – associated with the work of a Computer Science 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 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 execution 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, blogs.

Learning activities

The teaching 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

Regular and supplementary examination sessions

Assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

Continuous assessment will only be taken into account for marks of 4 or above in the final exam.

Reading list

Essential reading:

1. García and Beltrán, Ángel

HTML 4.0 and Dynamic HTML: Building Documents for the Web

Madrid: Bellisco, 1999. 1999.

ISBN: 9788495279095

Objectives

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

Prerequisites

No prerequisites have been set

Competencies

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.

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.

• 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

Debug programmes using a debugging environment

Understanding of the techniques involved in the development and maintenance of computer systems.

Proficiency in the use of professional-grade tools for programming, debugging and testing programmes

Course description

In this module, you will cover concepts such as: Modularity and Reusability, Functional decomposition 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, Programme testing, verification and validation, Performance evaluation.

Below is a summary of the content mentioned above:

TEACHING UNIT 1

Class extension

CLASS ELEMENTS (STATIC)

ACCESS RIGHTS

ENCAPSULATION

PACKAGES

INTERNAL CLASSES

PREDEFINED CLASSES

STATIC IMPORT OF CLASSES

TEACHING UNIT 2

Class Reuse

COMPOSITION

INHERITANCE

INHERITANCE HIERARCHY

SCOPES AND VISIBILITY

CONSTRUCTORS

POLYMORPHISM

TEACHING UNIT 3

Abstract Classes and Interfaces

ABSTRACT CLASSES

ABSTRACT METHODS

INTERFACES

HIERARCHY OF INTERFACES

CLONEABLE INTERFACE

TEACHING UNIT 4

Generics and Collections

GENERICITY

COMPARABLE INTERFACE

COLLECTION INTERFACE

THE ITERATOR INTERFACE

GENERICS

TEACHING UNIT 5

Exceptions and assertions

THE CONCEPT AND HANDLING OF EXCEPTIONS

INTRODUCTION TO ASSERTIONS

USE OF ASSERTIONS

Learning Activities

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

1) Classroom presentations on the concepts related to the topics covered in each subject and problem-solving exercises that enable students to learn how to tackle these concepts, 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

Regular and supplementary assessment sessions

Assessment for this module consists of two parts:

- Continuous assessment mark (exercises, tests): 40%

- Final exam: 60%(*)

(*) A minimum mark of 4 must be achieved in the final exam for both the ordinary and extraordinary examination sessions in order to be able to calculate the average with the continuous assessment.

Bibliography

Core:

1. Eckel, Bruce

Think in Java

Pearson Prentice Hall, Madrid. 2007.

ISBN: 9788489660342

2. Meyer, Bertrand

Object-Oriented Software Construction

2nd ed. Pearson Prentice Hall. Madrid. 1999.

ISBN: 8483220407

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.

Course content

Topic 1. The firm, 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.

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 in the standard assessment period. In this case, the examination to be held during the official examination period set by the University will be the sole assessment criterion, with the weighting specified in the course syllabus.

----

Continuous assessment for the course consists of two parts:

- On-campus activities (exercises, tests, etc.): 40%

- Final exam in the regular examination period (on the date set by the University): 60%

To pass the module in the regular examination session, students must achieve a mark of 5 or above in the continuous assessment (this will be averaged with a mark of 4 or above in the final examination).

If the student meets these requirements, the final mark for the module in the regular examination period will be calculated by adding together the marks obtained in each of the two parts of the continuous assessment, according to their respective weightings.

SUPPLEMENTARY EXAMINATION PERIOD: students who have not passed the module during the Ordinary Examination Period will have the opportunity to retake the module, choosing the higher of the following two marks:

1. An exam covering the entire syllabus on the official date set by the university, which will account for 100 per cent of the mark.

2. A resit of the continuous assessment within the deadline set by the lecturer for submitting the 40 per cent component (final assignment). In this case, the mark will be calculated in the same way as the continuous assessment.

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

Madrid: Pirámide, 1997. 1997.

ISBN: 8436809769

Objectives

This module aims to enable students to understand the fundamentals of systems based on microprocessor and microcontroller programming, as this forms the basis for subsequently understanding computer architectures.

Prerequisites

No prerequisites have been set.

Knowledge of digital electronic devices and Boolean algebra is recommended.

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 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 computer 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.

Production 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 aspects 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.

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. Instruction set 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 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

Regular and supplementary examination sessions

Assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

In both the ordinary and extraordinary examination sessions, a minimum mark of 4 is required in the final exam for the marks from exercises and assignments to be counted towards the final assessment.

The mark for continuous assessment on campus will be based on the tests for each unit, two feedback exercises corresponding to units 1–2 and units 3–4, and the final assignment.

Bibliography

Essential:

1. J. A. Gonzáles Vázquez

Introduction to 8X52 and 8X51 Microcontrollers

McGraw-Hill. 1996.

ISBN: 8476158033

2. J. C. Hernández Martín

Digital and Microprogrammable Electronics

Thomson Paraninfo. 2007.

ISBN: 9788497325059

3. J. Martínez Pérez and M. Barrón Ruiz

Practical Work with 8-bit Microcontrollers. Industrial Applications.

McGraw-Hill.

ISBN: 8448101014

4. Juan Carlos Hernández

Digital and Microprogrammable Electronics

Thomson Paraninfo. 2007.

ISBN: 978-84-9732-5

Objectives

This module presents 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 address 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 access its services and functional capabilities.

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

Prerequisites

None

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, how they function and how they interact with one another.

• 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 utilise the programming API provided by the operating system to request its services.

• Apply the concept of threads 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 description

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 approach 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

Regular and supplementary examination sessions

The assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

Feedback exercises and tests: 16% + 8%

Final assignment: 16%

* Final exam: 60%

IMPORTANT: The final mark will be calculated using the above weightings provided that the final exam mark is >=4 marks. Otherwise, 100% of the mark will be based on the mark obtained in that exam.

Feedback exercises may be submitted up to and including the date of the regular examination. After this date, NO further submissions will be accepted for inclusion in the marks for the supplementary examination, although the weighting for this component will still be maintained. The same applies to the self-assessment tests, which may be completed up to, but no later than, the day before the date of the ordinary examination. The final assignment, however, may be submitted up to the date of the supplementary examination, should it be necessary to sit this examination.

Bibliography

Core:

1. Carretero, J. et al

Operating Systems

McGraw-Hill. 2007.

ISBN: 9788448156435

2. Reinoso Peinado, A.J.

Programming for Unix/Linux Operating Systems

Publicep. 2007.

ISBN: 9788483680339

Supplementary:

3.- Gary Nutt

Operating Systems

McGraw-Hill. 2004.

ISBN: 8478290672

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 with the support of 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 all these reasons, the course aims to:

• 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.

Familiarise students with various commercial databases.

Prerequisites

No prerequisites have been set.

Skills

To develop computer 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,

Learning activities

The teaching activities to be carried out to ensure that students acquire the intended competences during this module and are able to achieve the expected outcomes of the work undertaken will be:

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

2) Carrying out practical case studies in small groups and other types of activities requiring the formation of student groups to undertake them.

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

4) Assessment tests.

5) Activities on virtual platforms: links to files and websites, self-assessment tests, discussion forums, essay assignments, chats, etc.

Assessment system and criteria

Regular and supplementary examination sessions

Assessment for this module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

Feedback exercises and tests: 16% + 8%

Final assignment: 16%

* Final exam: 60%

IMPORTANT: The final mark will be calculated using the above weightings provided that the final exam mark is >=4 marks. Otherwise, 100% of the mark will be based on the mark obtained in that exam.

Feedback exercises may be submitted up to and including the date of the regular examination. After this date, NO further submissions will be accepted for inclusion in the average mark for the supplementary examination, although the weighting for this component will still be maintained. The same applies to the self-assessment tests, which may be completed up to, but no later than, the day before the date of the ordinary examination. The final assignment, however, may be submitted up to the date of the supplementary examination, should it be necessary to sit this examination.

Bibliography

Core:

1. Abraham Silberschatz et al.

Database Fundamentals (5th Edition)

McGraw Hill. 2006.

ISBN: 8448146441

2. Abraham Silberschatz et al.

Fundamentals of Database Design

McGraw Hill. 2006.

ISBN: 9788448156718

Supplementary:

3.- Graeme C. Simsion

Data Modelling Essentials

Elsevier. 2005.

ISBN: 9780126445510

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

No prior requirements have been set.

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 computing, and their application.

Learning outcomes

· Ability to apply knowledge to the resolution of

real-world problems

· Carrying out research projects on

.

· Design of 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.

Learning activities

The learning activities to be carried out to ensure that students acquire the intended competences during this module and are able to achieve the expected outcomes of the work undertaken will be:

1) Classroom presentations on concepts related to the subjects comprising each module and problem-solving exercises enabling students to learn how to tackle these concepts, as well as other face-to-face group sessions such as discussion classes, group discussions, etc.

2) Carrying out practical case studies in small groups and other types of activities requiring the formation of student groups to undertake them.

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

4) Assessment tests.

5) Activities on virtual platforms: links to files and websites, self-assessment tests, discussion forums, essay assignments, chats, etc.

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 regular assessment 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.

----

Ordinary and Extraordinary Examination Sessions:

1. Continuous assessment (virtual campus activities): 40%

1.1 Feedback exercises and tests: 16%+8%

1.2 Final assignment: 16%

2. In-person final exam: 60%

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

Bibliography

Core:

1. Gómez Villegas, M.A.

Statistical Inference

Ediciones Diaz de Santos. 2005.

ISBN: 9788479786878

2. Martín Pliego; Ruiz Maya

Fundamentals of Probability

AC. 2002.

ISBN: 8472881768

3. Martín Pliego; Ruiz Maya

Fundamentals of Statistical Inference

Paraninfo. 2005.

ISBN: 9788497323543

4. Novales, A

Statistics and Econometrics.

McGraw-Hill. 1997.

ISBN: 84-481-2995-4

Supplementary:

5.- Carrascal, U.

Descriptive Statistics with Microsoft Excel

Ra-Ma. 2011.

ISBN: 9788499640662

6. Hernández, V.; Ramos, E.; Yañez De Diego, I.

Probability and its applications in computer engineering

Academic Publications. 2006.

ISBN: 9788496062580

7. Pérez, C.

Data Analysis Techniques with SPSS

Pearson Prentice Hall. 2009.

ISBN: 9788483226018

Others:

8. Aldas, J.

Applied Multivariate Analysis with R

Paraninfo. 2017.

ISBN: 9788428329699

9. Boza, J.; Pérez, J.V.

An Introduction to Sampling Techniques

Pirámide. 2021.

ISBN: 9788436845334

10. De la Garza, J.; Morales, B.N.; Gonzalez, B.A.

Multivariate Statistical Analysis

McGraw-Hill. 2013.

ISBN: 9786071508171

Objectives

This module examines the devices and standards that network administrators need to be familiar with

of a computer network. It also covers the structure of network cabling and how it is organised,

whilst also addressing how dynamic routing works – a crucial aspect when the network reaches

becomes very large.

A key focus of the course is IPv6 and the ongoing transition

between IPv4 and IPv6, the changes this entails and what new developments exist.

Finally, there will be a comprehensive introduction to security in communications networks, with

with a focus on cryptographic systems and encrypted communications.

This is a 6 ECTS module, in which you will acquire the necessary skills to

manage a network and its interconnection with others. You will also learn about the

latest developments in IPv6 and how the transition to IPv6 is carried out. You will also learn the basic principles

of cryptography and secure communications

Prerequisites

No prerequisites have been set.

Skills

• Understand the principles of communication protocols and layered architecture.

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

• Design and implement a network structure involving interconnection devices.

Learning outcomes

• Producing reports on the design of communications network structures

• Configure networks and communications services in accordance with specified criteria

• Understand the concepts of communication protocols and layered network architecture

Course content

Unit 1. Introduction to local area networks and interconnection devices.

Unit 2. LANs, backbone networks, VLANs and shared medium access protocols

Unit 3. Structured cabling.

Unit 4. Dynamic routing

Unit 5. IPv6

Unit 6. ICT security. Introduction to cybersecurity.

Learning activities

The learning 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 issues, as well as other face-to-face group sessions such as discussion classes, group discussions, etc.

2) Carrying out practical case studies in small groups and other activities requiring the formation of student groups to complete them.

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

4) Assessment tests.

5) Activities on online platforms: links to files and websites, self-assessment tests, discussion forums, essay assignments, chats, etc.

Assessment system and criteria

1. Continuous assessment (virtual campus activities): 40%

1.1 Feedback exercises and tests: 16% + 8%. Students will be provided with two feedback exercises covering topics 1–3 and 4–6.

1.2 Final exercise: 16%

2. Final face-to-face exam: 60%

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

Addendum

All teaching sessions will be delivered entirely online. These sessions will take place synchronously in the virtual classroom. Classes delivered online will be recorded. These recordings will remain available on the course’s virtual campus to enrolled students throughout the academic year, so that they can be viewed an unlimited number of times.

The amendments and provisions set out in this section are provisional and may be subject to change as determined by the academic authorities or where circumstances so require.

Bibliography

Essential reading:

1. Tanenbaum, Andrew S.

Computer Networks

Mexico: Pearson Education, 2003. 2003.

ISBN: 9702601622

Others:

2.- Forouzan, Behrouz A.

Data Transmission and Communications Networks

Madrid [etc.]: McGraw-Hill, 2007. 2007.

ISBN: 844815617X

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 in all development work. They will also be taught the most common techniques for testing programmes and computer systems.

Prerequisites

No prerequisites have been set.

Competencies

• Solve problems by applying abstraction

• Develop computer 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

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 programming, debugging and testing tools

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. PROGRAMME 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 related to the subjects comprising each module and problem-solving exercises to enable students to understand how to tackle these concepts, as well as other face-to-face group sessions such as discussion classes, group discussions, etc.

2) Carrying out practical case studies in small groups and other activities requiring the formation of student groups to undertake them.

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

4) Assessment tests.

5) Activities on virtual platforms: links to files and websites, self-assessment tests, discussion forums, essay assignments, chats, etc.

Assessment system and criteria

Assessment model for the standard and supplementary examination periods

1) 60% Face-to-face examination.

2) 40% Continuous assessment on the online platform, broken down as follows:

- 60% Final assignment

- 40% Other assignments, exercises, tests, etc.

Reading list

Core:

1. Joyanes Aguilar, Luis

Data Structures in Java

Madrid [etc.]: McGraw-Hill, 2008. 2008.

ISBN: 9788448156312

2. Sánchez

Programming in Java

Madrid [etc.]: McGraw-Hill, 2009. 2009.

ISBN: 9788448161071

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 execution of computer applications and services of varying complexity.

4) To design and develop centralised or distributed computer 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

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.

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 module consists of 4 mid-term exams, weighted as follows:

1st Mid-term 20%

2nd Mid-term 30%

3rd Mid-term Exam 25%

Final exam: 25 per cent. Students may optionally sit a final exam covering the course’s exam-related content.

In addition, there are compulsory laboratory practicals, which account for 25 per cent of the mark.

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

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.

Addendum

The public health crisis caused by the COVID-19 pandemic has led to the adoption of exceptional safety measures which, whilst aimed at preventing the spread of the virus, have inevitably affected the way in which lecturers and students interact in the context of face-to-face teaching. This has had an impact on the standard teaching schedule, which, whilst the aforementioned measures remain in force, may be subject to change, particularly affecting teaching and assessment methods.

In accordance with the provisions approved by the competent authority and in line with the agreements adopted by the governing bodies of the University and its centres, the following sets out the extent to which teaching activities and the assessment systems and criteria for the module may be affected whilst the exceptional safety measures referred to in the previous paragraph remain in force.

Teaching activities

All teaching hours for face-to-face teaching activities will be delivered in full; however, the number of hours delivered in person in the classroom will be reduced by 40 per cent. These hours will be delivered synchronously via the virtual classroom. Classes delivered virtually will be recorded. These recordings will remain available on the course’s virtual campus to enrolled students throughout the academic year, so that they can be viewed an unlimited number of times.

Should the exceptional circumstances give rise to measures restricting individual movement, the proportion of teaching hours delivered virtually will be increased. In such a case, provision has been made for 100 per cent of the weekly teaching hours to be delivered virtually.

Assessment systems and criteria

With regard to individual or group assignments for which a public oral presentation has been scheduled, such presentations will take place via the University’s virtual learning platform.

Exams will be held in person in the physical classrooms set aside for this purpose during the period specified in the university’s academic calendar. Only in the event that the authorities adopt mandatory measures restricting individual movement will exams be held remotely.

The changes and provisions set out in this section are provisional and may be subject to change as determined by the academic authorities or where circumstances so require.

---

Bibliography

Essential:

1. Julio Gomez

Operating Systems Administration

RA-MA. 2006.

ISBN: 847897699X

Links

Microsoft Tools for Students - Microsoft Tools for Students

Oracle VirtualBox – Virtualisation environment for testing different operating systems

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 the quality and evolution of software products.

Prerequisites

None

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 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.

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.

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.

· 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 methodological framework for software development

· 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.

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

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

exercises, etc.

2) Practical work in small groups and other activities requiring students to form groups in order 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

Regular and supplementary examination sessions

The assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

Reading list

Essential reading:

1. Pressman, Roger S.

Software Engineering: A Practical Approach

7th ed. McGraw-Hill. 2010.

ISBN: 9786071503145

Other:

2.- Sommerville, Ian

Software Engineering

Madrid: Pearson Education, 2005. 2005.

ISBN: 8478290745

Objectives

This module presents the most important aspects of developing applications based on the concurrent programming paradigm.

This course aims to achieve the following objectives:

• To develop concurrent and multi-threaded applications.

• To understand the main techniques for developing concurrent applications.

• To understand and utilise the main elements of communication and synchronisation.

• To design algorithms that make efficient use of shared resources.

Prerequisites

None

Competencies

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

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

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.

• 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.

• Design, implement and debug concurrent and distributed applications.

• Use professional-grade programming tools

Learning outcomes

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

• Develop applications that utilise concurrent and distributed development techniques for their implementation.

• Produce reports on the development, implementation and testing of centralised and distributed applications.

• Understand the software elements that may affect the development of a system and its integration with the relevant hardware and network components.

• Use professional-grade programming, debugging and testing tools

Course content

Threads, Race conditions, Mutual exclusion, High-level mechanisms, Low-level mechanisms, Modelling concurrent systems, Programming shared resources using protected objects, Other techniques.

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.

2) Laboratory activities of increasing difficulty, enabling students to gradually acquire 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

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

1) 2) 3) 4) Total

1 1.5 3 0.5 6

Assessment system and criteria

Assessment model for the standard and supplementary examination sessions

1) 60% Face-to-face examination.

2) 40% Continuous assessment via the online platform, broken down as follows:

- 60% Final assignment

- 40% Other assignments, exercises, tests, etc.

The minimum mark for these modules must be 4 in order to pass the continuous assessment

Bibliography

Core:

1. José Tomás Palma Méndez

Concurrent Programming

Thomson. 2003.

ISBN: 8497321847

2. Vijay K. Garg

Concurrent and Distributed Computing in Java

Wiley-Interscience. 2004.

ISBN: 047143230X

Supplementary:

3. Carretero, J. et al

Operating Systems

McGraw-Hill. 2007.

ISBN: 9788448156435

Objectives

The aim of this module is to improve and refine the techniques that students use in programming and testing applications. In particular, students will gain experience in event-driven programming, using the development of applications for Android devices as a basis.

In the context of event-driven programming, the emergence of graphical user interfaces has seen event-driven programming grow in importance as these interfaces have become increasingly prevalent. 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

No prerequisites have been defined.

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.

CE5. To design, develop and maintain software systems and applications using a variety of 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 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 carried out will be:

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

Assessment model for the standard and resit examination sessions

1) 60% In-person examination.

2) 40% Continuous assessment on the online platform, broken down as follows:

- 60% Final assignment

- 40% Other assignments, exercises, tests, etc.

The minimum mark required to sit the ordinary examination is 4.

Reading list

Core:

1. Mullet, Kevin

Designing Visual Interfaces: Communication-Oriented Technology

California: Sunsoft, 1995. 1995.

ISBN: 0133033899

2. Preece, Jenny

Human-computer interaction

Wokingham, England: Addison-Wesley, 1994. 1994.

ISBN: 0201627698

3. Redmond-Pyle, David

Graphical user interface design and evaluation (guide): a p

London: Prentice Hall, 1995. 1995.

ISBN: 013315193X

4. Shneiderman, Ben

User Interface Design: Strategies for an Inter

Boston [etc.]: Addison Wesley, 2005. 2005.

ISBN: 8420548030

5. Tidwell, Jenifer

Designing Interfaces: [Patterns for Effective Interaction]

Cambridge [etc.]: O. 2005.

ISBN: 0596008031

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)

. Make use of 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 administer 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

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

Design 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 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 highly practical sessions.

3) Independent study, report writing, practical work, etc., carried out as individual or group work by 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 subject is as follows:

1) 2) 3) 4) Total

Operating systems 1 1 3.5 0.5 6

Assessment system and criteria

Regular and supplementary examination sessions

Assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

Feedback exercises and tests: 16% + 8%

Final assignment: 16%

* Final exam: 60%

IMPORTANT: The final mark will be calculated using the above weightings provided that the final exam mark is >=4 marks. Otherwise, 100% of the final mark will be based on the mark obtained in that exam.

Feedback exercises may be submitted up to and including the date of the regular examination. After this date, NO further submissions will be accepted that could be included in the mark for the supplementary examination, although the weighting for this component will still be maintained. The same applies to the self-assessment tests, which may be completed up to, but no later than, the day before the date of the ordinary examination. The final assignment, however, may be submitted up to the date of the supplementary examination, should it be necessary to sit this examination.

Bibliography

Core:

1. Coulouris, George

Distributed Systems: Concepts and Design

3rd ed. Madrid [etc.]: Addison Wesley, 2001. 2001.

ISBN: 8478290494

Prerequisites

No prerequisites have been set.

Skills

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

• Use network administration tools

Learning outcomes

Configuration of networks and communications services in accordance with specific criteria

Understand network administration issues and the most common solutions to them.

Using network administration tools.

Training 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 the topics covered in each subject and problem-solving exercises to enable students to learn how to tackle these issues, as well as other face-to-face group sessions such as discussion classes, group discussions, etc.

2) Carrying out practical case studies in small groups and other types of activities requiring the formation of student groups to undertake them.

3) Independent study, report writing, practical work, etc., to be carried out by the student or a group of students.

4) Assessment tests.

5) Activities on virtual platforms: links to files and websites, self-assessment tests, discussion forums, essay assignments, chats, etc.

Bibliography

Core:

1. Cisco

Fundamentals of Networking: CCNA E Practical Guide

Madrid: Pearson Educación: Cisco Press, 2008. 2008.

ISBN: 9788483224755

2. Tanenbaum, Andrew S.

Computer Networks

Mexico: Pearson Education, 2003. 2003.

ISBN: 9702601622

Objectives

This module aims to cover complex processor architectures, including the hardware and software components that make up today’s computer systems.

The approach taken is to analyse computer architectures from a quantitative rather than a design perspective; to this end, the course begins by studying the main techniques used to facilitate performance analysis, techniques which will be applied throughout the course to analyse the architectural elements under consideration.

This is an advanced course in computer architecture, designed to provide students with a comprehensive understanding of how a computer architecture functions, enabling them, as engineers, to grasp the principles required to assess the suitability of a given architecture for any field of application.

To this end, the course examines in detail the elements found in modern architecture: multiprocessors, memory hierarchies, virtual memory management systems and RISC architectures.

The course objectives are as follows

- To understand the concepts involved in modern computer systems.

- To be able to carry out a critical assessment of the performance of such systems in order to evaluate their suitability for a specific field of application.

- To be able to obtain the best performance from these systems.

- To be familiar with technological trends in hardware.

- To be familiar with basic systems programming techniques.

Prerequisites

No prerequisites have been set.

Skills

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

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

Learning outcomes

• To produce hardware configuration reports for computer systems that meet specific criteria.

• Understand the elements of hardware evaluation and performance and their application to computer systems.

• Knowledge of new hardware components and storage systems

Course content

Design technologies.

Storage systems.

Computer performance.

Configuration assessment.

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 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 issues, as well as other face-to-face group sessions such as discussion classes, group discussions, etc.

2) Carrying out practical case studies in small groups and other types of activities requiring the formation of student groups to undertake them.

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

4) Assessment tests.

5) Activities on virtual platforms: links to files and websites, self-assessment tests, participatory forums, project work, chats, etc.

Assessment system and criteria

Regular and supplementary assessment sessions

Assessment for this module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

IMPORTANT: The final mark will be calculated using the above weightings provided that the final exam mark is >=4 marks. Otherwise, 100% of the mark will be based on the mark obtained in that exam

Bibliography

Essential:

1. Fernández Fernández, Gregorio

Computer Course: Basic Concepts of Architecture and S

Madrid: Publications Service of the ETS de In. 2005.

ISBN: 8474023122

2. Patterson, David A.

Computer Organisation and Design: The Hardware/Software Interface

San Francisco, Cal. [etc.]: Morgan Kaufmann [etc.], 2005.

ISBN: 1558606041

Objectives

·To learn the basic techniques of AI&#59;&#59;&#59;&#59;

·To learn how to identify when a problem requires the application of AI techniques.

·To understand what computer intelligence (CI) is, and its relationship with software engineering and computer systems development&#59;&#59;&#59;&#59;

·To learn the concept of a Generic Task&#59;&#59;&#59;&#59;

·To examine the usefulness of an expert system.

Prerequisites

No prerequisites have been set.

Learning outcomes

• Develop computer applications using artificial intelligence techniques

• Use professional-grade software development tools

Learning outcomes

• Developing applications that involve the use of various artificial intelligence techniques.

• Understand the different artificial intelligence techniques used in solving real-world problems.

• Proficient use of professional-grade tools for programming, debugging and testing applications

Course description

0. INTRODUCTION TO AI:

An overview of the concept of Artificial Intelligence, its origins, its fundamentals and a historical perspective; the cognitive science approach, the logic-based approach and the rational agent approach

1. PROBLEM-SOLVING METHODS

1. Steps in problem-solving

2. Problem formulation

3. State space method

4. Search methods

5. Genetic algorithms

2. LOGIC AND REASONING CONTROL

As in the previous section, we review the concepts of first-order logic used for knowledge representation and how they are integrated into AI.

1. Predicate logic.

2 Unification.

3 Skolem functions.

4 Unification: the Most General Unifier.

5 Modus Ponens and Horn Databases.

6 Resolution and Normal Form.

4. KNOWLEDGE ENGINEERING

1. Construction methodology.

2. Knowledge.

3. Knowledge acquisition

4. Models of knowledge representation

5. Reasoning models based on measures of certainty

6. Rule-based systems. Fuzzy logic.

7. Expert systems

Training activities

The teaching 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 the concepts related to the topics comprising each subject and problem-solving exercises that enable students to understand how to tackle these concepts, as well as other face-to-face group sessions such as discussion classes, group sharing sessions, etc.

2) Carrying out practical case studies in small groups and other activities requiring the formation of student groups to undertake them.

3) Independent study, report writing, practical work, etc., carried out by the student or a group of students.

4) Assessment tests.

5) Activities on virtual platforms: links to files and websites, self-assessment tests, discussion forums, essay assignments, chats, etc.

Assessment system and criteria

Regular and supplementary examination sessions

Assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

Reading list

Essential:

1. Stuart Russell

Artificial Intelligence

Prentice Hall. 2010.

ISBN: 0132126842

Objectives

The main objectives of this module are:

• To gain a comprehensive understanding of the life cycle of information systems supported by relational databases.

• To provide the methodological principles necessary to carry out a sound analysis and design of information systems that best meet the business needs of the company or institution in which they are operated.

• To determine the impact of information systems in today’s corporate environment, as well as the various options for their organisation and management.

• To familiarise students with the main information systems currently used to support business strategies (ERP, CRM, etc.).

• To familiarise students with the main planning and management tools linked to information systems that are used to support decision-making at different levels within corporate organisations.

Prerequisites

None

Skills

• Develop IT projects of a certain level of complexity using engineering techniques involving relational databases.

• Use professional-grade software development tools

Learning outcomes

• Develop and implement applications involving the design, implementation and administration of databases.

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

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

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

Course content description

Database system architecture.

Data storage and querying

Transaction management

Query processing

Object-oriented databases

Advanced transaction processing

Training activities

The teaching 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 the topics covered in each subject and problem-solving exercises to enable students to understand how to tackle these issues, as well as other face-to-face group sessions such as discussion classes, group discussions, etc.

2) Carrying out practical case studies in small groups and other types of activities requiring the formation of student groups to undertake them.

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

4) Assessment tests.

5) Activities on virtual platforms: links to files and websites, self-assessment tests, participatory forums, essay-based assignments, chats, etc.

Assessment system and criteria

“The theoretical assessment of the module will be carried out using various methods, which may include multiple-choice questions, short-answer questions or essay questions. In all cases, students will be informed in good time of the specific assessment method to be applied in each assessment session”.

Ordinary and supplementary assessment periods

The assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

Bibliography

Essential:

1. Vincenç Fernandez Alarcón

Information Systems Development: A Modelling-Based Methodology

UPC Press. 2006.

ISBN: 8483018624

0.

Objectives

This module will enable students to gain an understanding of effective management in engineering projects by presenting a comprehensive and coherent methodology, with particular emphasis on IT projects.

Prerequisites

No prerequisites have been set.

Learning Outcomes

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

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.

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.

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

· Use professional-grade tools to support the planning and management of an IT project.

Learning outcomes

· Producing reports that develop case studies in the field of business organisation and management.

· Use professional tools to support the planning and management processes of an IT project.

Course content

Projects and project management: concept, types, characteristics, objectives, classification, planning, feasibility, negotiation.

Development of IT projects: evolution, documentation, quality, open-source software.

Project development using IT applications.

Training activities

The training activities to be carried out to ensure that students acquire the intended competences during this module and are able to achieve the expected outcomes of the work undertaken will be:

1) Classroom presentations on concepts related to project management and leadership, as well as other face-to-face group sessions such as presentation sessions, discussions, exercises, etc.

2) Laboratory activities of increasing difficulty, enabling students to gradually develop the ability to work independently in planning and organising a project using computer applications.

3) Independent study, report writing and case studies carried out as individual or group work by students.

4) Assessment tests.

Assessment system and criteria

Ordinary and supplementary assessment periods

Assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam: 60%

Reading list

Other:

1. PMI

Guide to the Fundamentals of Project Management (PMBOK Guide)

PMI. 2013.

2.- Wysocki

Effective Project Management: Traditional, Agile, Extreme

Wiley. 2014.

Objectives

The main objective of this module is to examine the impact of ICT (Information and Communication Technologies) on society as a whole. The growth in the volume of available information and improvements in the ways we access it justify the widespread and generalised use of the term ‘Information and Knowledge Society’. The course covers topics such as: the evolution of society up to the current Information Society; changes brought about by ICT in the economy and the world of work; ethical values in the Information Society; laws and regulation; and new forms of knowledge development and management through ICT.

Prerequisites

None

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

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

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.

· Understand the social, ethical and professional responsibilities – and, where applicable, civil liabilities – associated with the work of a Computer Engineer

· Understand the influence that computing is exerting on society.

· Communicate the impact that computer science is having on various socio-economic spheres.

Learning outcomes

· Producing reports on aspects of the impact of Computer Science in various socio-economic spheres

· Understanding the most significant ways in which Computer Science is altering social structures and habits, and its impact on various socio-economic aspects.

Course content

TOPIC 1: Introduction to the Information Society.

+ The origins and evolution of the Information Society.

+ The information age: economic, social and cultural aspects.

+ The impact of the Internet and ICT on globalisation.

+ The digital divide: challenges for the Information Society.

TOPIC 2: Knowledge management and work teams.

+ Knowledge management and innovation.

+ Planning, implementation and management of information systems.

+ Managing teams working on information systems.

+ Case study: community management.

+ Case study: open-source software.

TOPIC 3: Economic aspects of the Information Society.

+ Assessment of resources and investment: indicators and metrics.

+ Enterprise resource planning (ERP) systems.

+ Ecosystems, productivity and innovation management.

+ Data science, decision-making and visual communication.

+ Case study: opinion mining and stock market trading.

+ Case study: professional networks.

TOPIC 4: Cultural industries and new digital content.

+ Management of cultural assets and content.

+ The transformation of cultural industries in the Information Society.

+ Case study: Regulation of intellectual property rights.

+ Case study: Management of documentary archives.

TOPIC 5: ICT laws and regulations.

+ Legislation and regulation in the field of ICT.

+ Ethical values in the Information Society.

+ Case study: Protection of personal data.

+ Case study: International cybercrime.

Training activities

1) Classroom presentations on concepts relating to the information society and the influence of information technology on society, the various structures of business organisation, as well as other face-to-face group sessions such as discussion classes, group discussions, etc.

2) Carrying out practical case studies in small groups and other activities requiring the formation of student groups to undertake them.

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

4) Assessment tests.

Assessment system and criteria

Continuous assessment. Regular assessment period:

The assessment of the module consists of two parts:

* Continuous assessment mark on campus (exercises, tests, etc.): 40%

* Final exam (for which a minimum mark of 5 is required): 60%

The weighting of the final mark based on the above percentages will apply provided that the final exam mark is >= 5.

Supplementary examination:

Exam: 100% of the final course mark.

Reading list

Core:

1.- -

The Second Digital Divide

Madrid: Cátedra [etc.], 2008. 2008.

ISBN: 9788437624754

2.- -

Terminology and the Knowledge Society

Bern: Peter Lang, 2009. 2009.

ISBN: 9783039115938

3.- Alonso, Andoni; Arzoz, Iñaki

The New City of God: A cybercultural game on techno-hermeticism

Siruela. 2002.

ISBN: 847844551X

4. Amin, S

Capitalism in the Information Age

Paidós Iberica. 1999.

ISBN: 8449306388

5. Aronowitz, Stanley; Martinsons, Barbara; Menser, Michael

Technoscience and Cyberculture: The Interrelationship between Culture, Technology and Science

Paidós Multimedia. 1998.

ISBN: 8449304962

6. Barrett, Neil

The State of Cybernation: Cultural, Political and Economic Consequences of the Internet

Flor del Viento. 1998.

ISBN: 8489644314

7. Briz, Julián

The Internet and E-commerce: Characteristics, Strategies

Madrid: ESIC: Mundi-Prensa, 2001. 2001.

ISBN: 8471149923

8. Bustamante, Javier

The Information Society: A Dehumanised Society? : A Critical View of the Influence of Technology on Society in the Computer Age

Gaia. 1993.

ISBN: 8488242077

9. Carrascosa, José Luis

Informaccion: from the industrial age to the information society

Espasa Calpe. 1991.

ISBN: 8486743346

10. Castells, Manuel

The Information Age: Economy, Society and Culture. The Power of Identity. Vol. II

Alianza. 2006.

ISBN: 8420642460

11. Castells, Manuel; Himanen, Pekka

The Welfare State and the Information Society. The Finnish Model

The Network Society series. Alianza Editorial. 2002.

ISBN: 8420691038

12. Chomsky, Noam

The New World Order (and the Old)

Crítica. 2003.

ISBN: 8484323056

13. Civit Alaminos, Cristina

Implementing Teleworking in the Workplace

Barcelona: Gestión 2000, 2000. 2000.

ISBN: 8480883820

14. Cornella, Alfons

Towards the Networked Organisation

Ediciones Gestión 2000 S.A., 2000.

ISBN: 8480888377

15. Cornella, Alfons

Infonomia! com: Intelligent Information Management in Organisations

Deusto S.A. Editions. 1999.

ISBN: 8423419576

16. Eco, Umberto

Apocalyptic and Integrated

Nuevas Ediciones de bolsillo. 2001.

ISBN: 8497933869

17. Flores Vivar, Jesús

Cyberjournalism: New Approaches, Concepts and Professions and

Madrid: Ediciones 2010; Mexico City: Limusa, 2nd ed. 2001.

ISBN: 9681862384

18. García Blanco, José María; Navarro, Pablo

Beyond Modernity? The Dimensions of Information, Communication and New Technologies

Academia Collection. CIS. 2002.

ISBN: 8474763355

19. Gubern, Roman

Electronic Eros

Taurus Ediciones. Santillana Group. 2000.

ISBN: 8430603719

20. Horrocks, Christopher

Marshall McLuhan and Virtuality

Gedisa. 2004.

ISBN: 8497840372

21. Joaquín Estefanía

Dictionary of the New Economy

Planeta. 2001.

ISBN: 8408040480

22. Joyanes Aguilar, Luis

Cyber-society: Social Challenges in a New Digital World

McGraw-Hill. 1997.

ISBN: 8448109430

23. Martínez López, Francisco José

Marketing in the Knowledge Society: Keys to E-Marketing

Madrid: Delta, 2007. 2007.

ISBN: 9788496477544

24. Mateu de Ros, Rafael; López-Monís Gallego, Mónica

Internet Law: The Law on Information Society Services and Electronic Commerce

Cizur Menor [Navarre]: Thomson: Aranzadi, cop. 2003. 2003.

ISBN: 8497671074

25. Mayans and Panels, Joan

Chat Genre, or How Ethnography Set Foot in Cyberspace

Gedisa. 2002.

ISBN: 8474325722

26. Moreno, Isidro

Muses and New Technologies: The Hypermedia Narrative

Paidós Iberica. 2002.

ISBN: 8449312949

27. Ortega, J.A.

New Technologies for Education in the Digital Age

Pirámide. 2007.

ISBN: 843682086X

28. Roberto Velasco

The digital economy: from myth to reality

Tusquest Editores S.A. 2002.

ISBN: 8483108550

29. Suárez Suárez, Andrés S

The New Economy and the New Society

Pearson Education. 2001.

ISBN: 842053319X

30. Vidal Beneyto, José

The Global Window: Cyberspace, the Global Public Sphere and the Media Universe

Taurus. 2002.

ISBN: 8430604642