Bachelor's Degree in Computer Engineering

Objectives

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

Learning outcomes

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

Course description

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

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

Contents:

Unit 1 Systems

Vocabulary / Technology

1.1: Safety equipment • telecoms

1.2: Telecoms • satellites

1.3: Instruction verbs • marine • mechanics

Grammar / Discourse

1.1: Cohesion

1.2: Relative pronouns

1.3: Present simple • imperative

Unit 2 Processes

Vocabulary / Technology

2.1: Applications of plastics

2.2: Process verbs

2.3: Process verbs, related nouns • gerunds

Grammar / Discourse

2.1: ‘will’ for predictions

2.2: Present simple passive

2.3: Phrases used to refer to a visual

Unit 3 Events

Vocabulary / Technology

3.1: Aerospace • mechanics

3.2: Spacecraft LAS system

3.3: Noun suffixes • semi-technical vocabulary

Grammar / Discourse

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

3.2: Time clauses

3.3: Sequence markers

Unit 4 Careers

Vocabulary / Technology

4.1: Terms used in a CV

4.2: Semi-technical vocabulary • biomedical

4.3: Employment

Grammar / Discourse

4.1: Present continuous for present and future • going to

4.2: Comparative • conjunctions

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

Unit 5 Safety

Vocabulary / Technology

5.1: Control and warning systems

5.2: Maintenance • automotive

5.3: Navigation • air traffic

Grammar / Discourse

5.1: Discussion markers

5.2: Active and passive modals

5.3: unless • present participle

Unit 6 Planning

Vocabulary / Technology

6.1: Deadlines • energy • environment

6.2: Nouns expressing actions • causal suffixes • fuel processing

6.3: Energy • power generation

Grammar / Discourse

6.1: Future modals

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

6.3: Section markers in a talk

Unit 7 Reports

Vocabulary / Technology

7.1: Reporting verbs • security

7.2: Electrical

7.3: Electrical, electronics

Grammar / Discourse

7.1: Reported speech

7.2: Past continuous

7.3: Discourse markers

Unit 8 Projects

Vocabulary / Technology

8.1: Installation, transport, oil extraction

8.2: Construction • active / passive adjectives

8.3: General words with technical meanings • drilling for oil

Grammar / Discourse

8.1: Present perfect and past simple passive

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

8.3: Phrases to check understanding

Unit 9 Design

Vocabulary / Technology

9.1: Automotive • electrical

9.2: Shapes • architectural

9.3: Technical drawing

Grammar / Discourse

9.1: Modifying comparatives

9.2: Modifying superlatives

9.3: Complex noun phrases

Training activities

P1 Lecture

P2 Interactive lessons

P4 Project work

P5 Independent study

P6 Tutorials

P7 Assessment tests.

Assessment system and criteria

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

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

These assessments will consist of:

• Writing tasks.

• Written tests comprising multiple-choice, true or false, fill-in-the-blank and question-answering questions.

• Reading and reading comprehension exercises.

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

• Completing and presenting assignments.

• Listening comprehension tests.

• Speaking tests.

The various assessed tests will be organised as follows:

1. CONTINUOUS ASSESSMENT

Five written tests covering the content of units 1–9. Each test will assess students’ knowledge in four areas: Listening, Reading, Grammar and Terminology. There will also be two oral tests (one in groups and one individually) on a different date from the written tests.

Weighting of written tests throughout the academic year:

- Written tests (5): 65%

- Oral tests (1): 15%

- Classwork: 5%

- Tutor’s assessment: 5%

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

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

Listening Comprehension

Vocabulary and specific terminology

Reading Comprehension

Grammar or Linguistic Structures

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

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

IMPORTANT

1) It is essential to sit ALL the assessment tests scheduled during the continuous assessment period. Consequently, any student who fails to sit any of the mid-term tests WILL LOSE THE RIGHT TO CONTINUOUS ASSESSMENT AND WILL HAVE TO SIT THE REGULAR EXAMINATION COVERING 100 PER CENT OF THE COURSE, subject to the assessment criteria set out for that examination session.

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

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

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

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

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

2. REGULAR EXAMINATION PERIOD WITHOUT CONTINUOUS ASSESSMENT AND SUPPLEMENTARY EXAMINATION PERIOD

2.1 Examinations:

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

Written examination: 75%

Oral examination: 25%

The written examination will cover the same skills as those outlined above for students subject to continuous assessment.

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

If a minimum mark of 5 has been achieved in the oral assessment, this mark will be retained for the resit session should it be necessary, provided the student so requests.

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

Type of examination

2.1.1 Written exam

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

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

2.1.2 Oral exam

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

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

Timetable

Click on this link to view the detailed timetable in Excel

Bibliography

Core:

1. Chris Jacques

Technical English, 2nd Edition, Level 3 Workbook

Pearson. 2022.

ISBN: 9781292424521

2. David Bonamy

Technical English, 2nd Edition, Level 3 Course Book

Pearson. 2022.

ISBN: 9781292424484

Supplementary:

3.- Virginia Evans and Jenny Dooley

It’s Grammar Time 4

Express Publishing. 2017.

ISBN: 9781471538100

Objectives

• To apply the fundamental principles of electromagnetism, electrical circuits and semiconductor physics to analyse and solve engineering problems relating to electrical and electronic systems.

• Use mathematical models and problem-solving techniques to analyse electric and magnetic fields, circuits, electronic devices and semiconductor-based systems, interpreting their physical behaviour and their applications in computer 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

Assessment system and criteria

REGULAR EXAMINATION PERIOD

The final mark for the module in the Ordinary Examination Period will be determined based on the following average:

SE1. Practical activities: 10 per cent of the final mark, consisting of a mid-term exam.

SE2. Final knowledge assessment: 50 per cent of the final mark. This will consist of a synchronous written examination covering all course content, to be held during the official examination period set by the University.

SE3. Laboratory practical logbook: 10 per cent of the final mark. This assesses scientific and procedural knowledge. In the laboratory notebook, students record all relevant data from their research work in real time: questions, hypotheses, objectives, methods and materials, results and conclusions. Keeping the notebook enables students not only to record information about their research but also about their learning process.

SE4.- Portfolio: 30% of the final mark. This will be assessed through the collection of evidence of the student’s learning (in terms of knowledge, performance or output) throughout the course.

All continuous assessment activities (SE1, SE3 and SE4) must be completed and submitted during the course’s teaching period and, under no circumstances, after the date of the Ordinary Examination.

To pass the module in the regular examination session, the following conditions apply:

• Achieve a mark of 5.0 out of 10.0 or higher in the final knowledge test (SE2).

• Achieve a final mark for the module of 5.0 out of 10.0 or higher.

If the minimum mark of 5.0 is not achieved in either of the two parts, the final mark in the ordinary examination period will be a maximum of 4.9 (Fail).

Failure to attend more than 30 per cent of the course’s teaching activities requiring the student’s physical or virtual presence will result in the loss of the right to continuous assessment in the ordinary assessment period. In this case, the examination taken during the official period set by the University will be the sole assessment criterion and will account for 100 per cent of the final mark.

Students must report any absence by providing the relevant formal official supporting documentation (medical, work-related or administrative) simultaneously to both the lecturer responsible for the module and the Head of Studies within a maximum of 7 calendar days following the absence.

Failure to attend any of the assessments and/or assessment activities must be duly justified in accordance with the procedure described above. Otherwise, the student will not be entitled to retake the assessment.

Students who do not complete any of the continuous assessment activities or sit the final examination will be awarded the grade ‘Did Not Sit (NP)’. In all other cases, they will be recorded on the examination register with the corresponding grade based on the results obtained in the assessment activities completed.

EXTRAORDINARY EXAMINATION SESSION

In the Extraordinary Examination Session, the final mark will be determined using the same weighting as in the Ordinary Examination Session, provided that the weighted average mark for continuous assessment (SE1, SE3 and SE4) is 5.0 out of 10.0 or higher. In this case, the marks obtained in these assessment criteria will be retained, and the final mark will be calculated by averaging them with the mark obtained in the extraordinary written examination, which will take place during the official period set by the University.

Otherwise, the mark will be based solely on the extraordinary written examination, which will account for 100 per cent of the final mark.

To pass the module in the Extraordinary Examination Session, the same conditions apply as in the Ordinary Examination Session:

• Achieve a mark of 5.0 or higher out of 10.0 in the final knowledge test (SE2).

• Achieve a final mark for the module of 5.0 out of 10.0 or higher.

If the minimum mark of 5.0 is not achieved in either of the two parts, the final mark in the extraordinary assessment period will be a maximum of 4.9 (Fail).

Students who do not complete any of the continuous assessment activities or sit the final knowledge test will be awarded the mark ‘Did not sit the exam (NP)’. In all other cases, they will be recorded on the examination register with the appropriate mark based on the results obtained in the assessment activities completed.

Objectives

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

• To foster information and knowledge management skills.

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

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

Prerequisites

No prerequisites have been established

Learning outcomes

RK4 Basic knowledge of the use and programming of computers, operating systems, databases and 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.

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

Description of the content

General content covered by the module:

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

Course content:

Concepts in Information and Communications Technology; the computer and its use; file management; word processing; spreadsheets; use of databases; the Internet; messaging; fundamentals of computing and data analysis.

Learning activities

P1 Lectures

P2 Interactive classes

P3 Workshop and/or laboratory activities

P4 Completion of assignments or projects and problem-solving

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

P6 Assessments 

P7 Tutorials

Assessment system and criteria

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

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

We will consider the module to be divided into two content blocks:

- Block 1: Spreadsheets with Excel and data analysis

- Section 2: Python

Continuous assessment (CA) and the main examination (ME).

For the continuous assessment of the Computer Science 1 course, various exercises and practical case studies will be carried out on the computer. There will also be two training modules on the Coursera platform, which can be accessed via links on the UAX Skill School dashboard. In addition, there will be mid-term tests for each of the course’s content blocks and a compulsory final exam for all students.

To obtain the final mark for the course, students must achieve a minimum mark of 4 in each component, and the final mark will be calculated using the following weightings:

-- Coursera courses: 5% + 5%

-- EC Excel assignments and exams: 20%

-- Python assignments and exams: 20%

-- Excel + Python supplementary exam: 50%

Supplementary examination (CO).

Students who have not passed the module in the ordinary assessment period (CO) must sit the supplementary exam, which accounts for 100% of the final mark for the module.

Timetable

Click on this link to view the detailed timetable in Excel

Bibliography

Basic:

1. Lambert, Joan.

MOS 2016 study guide for Microsoft Excel:

Microsoft Press. 2016.

ISBN: 9780735699434

2. Microsoft

Microsoft 365

Microsoft. 2022.

ISBN: 9782409024351

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

Supplementary:

3. CLAUDIA VALDES-MIRANDA

EXCEL 2016 (ESSENTIAL HANDBOOK)

Anaya Multimedia. 2016.

ISBN: 9788441538023

4.- Eni

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

Eni Editions. 2020.

ISBN: 978-2-409-024

5. JOHN PIERCE

MOS 2016 STUDY GUIDE FOR MICROSOFT WORD EXPERT

Microsoft Press. 2016.

ISBN: 9788441539266

6. Peña Pérez, Rosario

Office 2016:

Ediciones Altaria, 2015.

ISBN: 9788494404979

7. ROSARIO PEÑA PEREZ

Office 2019–Office 365: Key new features

Altaria. 2018.

ISBN: 9788494731976

8. VALENTIN, HANDZ

EXCEL 2016 STEP BY STEP 2nd UPDATED EDITION

Ra-Ma. 2016.

ISBN: 9788499646619

9. VALENTIN, HANDZ

OFFICE 2016 PRACTICAL COURSE

Ra-Ma. 2016.

ISBN: 9788499646343

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

No prerequisites have been set

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 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 perform reliably and efficiently, are cost-effective to develop and maintain, and comply with quality standards, by applying the theories, principles, methods and practices of Software Engineering

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

Description of the content

General content covered by the module:

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

Course content:

-Introduction to programming. Structure of a programme

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

-Reading data from the keyboard. Utility classes.

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

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

-Control statements

-Exceptions

-Arrays

-Files

-Final practicals

Learning activities

P1 Lecture

P2 Interactive classes

P3 Laboratories

P4 Project development

P5 Independent Study

P6 Tutorials

P7 Assessments.

Assessment system and criteria

Without prejudice to any other requirements that may be set out in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment during the standard assessment 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.

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

To this end, the following assessment activities will be used to gauge the level of mastery of each of the listed competences:

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

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

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

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

Regular assessment period: 100% exam

Supplementary assessment: 100% exam

Objectives

The aim of this module is to provide the necessary mathematical foundations to enable graduates in Computer Engineering to interpret, select, evaluate and create new concepts, theories, applications and technological developments related 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-specific problems.

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

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

Description of the content

General content covered by the module:

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

Course content:

1. Introduction to mathematical calculus.

2. Differentiation of functions of one and several variables.

3. Integration of single-variable functions.

4. Multiple integrals. Line integrals. Surface integrals.

5. Sequences and series.

Teaching activities

P1 Lectures

P2 Interactive classes

P3 Workshops and/or laboratory activities

P4 Preparation of assignments or projects and problem-solving

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

P6 Knowledge assessments 

P7 Tutorials

Assessment system and criteria

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

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

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

CONTINUOUS ASSESSMENT

Continuous assessment will consist of the following components:

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

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

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

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

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

REGULAR EXAM SESSION

*** Attendance of 70 per cent or more.

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

*** Attendance below 70 per cent.

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

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

EXTRAORDINARY EXAMINATION SESSION

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

*** The module is considered passed in the supplementary sitting if the final mark is 5.0 or above.

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

Timetable

Click on this link to view the detailed timetable in Excel

Reading List

Core:

1. Pedro de Mingo García

Calculus

Bellisco Technical and Scientific Publications. 2009.

ISBN: 8496486370

2. Pedro de Mingo García

Calculus Exercises

Bellisco Technical and Scientific Publications. 2009.

ISBN: 8496486788

Others:

3. James Stewart

Differential and Integral Calculus

Cengage Learning Latin America. 2006.

ISBN: 9706865446

4. James Stewart, Lothar Redlin, Saleem Watson

Pre-Calculus: Mathematics for Calculus.

Cengage Learning. 2017.

ISBN: 607526275X

5. Michael Spivak

Calculus

Reverté Publishers. 2012.

ISBN: 8429151826

6. N. Piskunov

Differential and Integral Calculus

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

ISBN: 9681839854

7. Ron E. Larson and Bruce H. Edwards

Calculus I

Cengage Learning. 2014.

ISBN: 978-607-522-0

8. Ron E. Larson and Bruce H. Edwards

Calculus II

Cengage Learning. 2014.

ISBN: 978-607-522-0

Objectives

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

- To develop leadership and conflict management skills.

- To develop people management and teamwork skills.

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

- To provide adequate preparation for the needs of the business sector.

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

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

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

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

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

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

- Learn to manage interpersonal relationships.

- Information literacy.

Prerequisites

There are no prerequisites.

Learning outcomes

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

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

Description of the content

General content covered by the module:

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

Course content:

Written communication

General and applied writing.

Professional texts in ICT engineering.

Summarising.

ICT-specific vocabulary and terminology.

Information and cataloguing.

Electronic resources.

Training activities

P1 Lectures

P2 Interactive classes

P4 Completing assignments or projects and solving challenges

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

P7 Knowledge 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 requiring 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 shall be the sole assessment criterion, with the weighting specified in the course syllabus.

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

Continuous assessment

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

Tutor’s assessment: 5%

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

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

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

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

Oral (40%). Minimum mark: 5

Written (60%). Minimum mark: 5

Timetable

Click on this link to view the detailed timetable in Excel

Objectives

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

Data structures are presented using object-oriented techniques.

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

Prerequisites

No prerequisites have been set

Learning outcomes

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

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

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

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

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

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

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 perform reliably and efficiently, are cost-effective to develop and maintain, and comply with quality standards, by applying the theories, principles, methods and practices of Software Engineering

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

Description of the content

General content covered by the module:

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:

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

Teaching activities

P1 Lecture

P2 Interactive sessions

P3 Laboratory sessions

P4 Project work

P5 Independent Study

P6 Assessments

P7 Tutorials

Assessment system and criteria

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

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

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

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

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

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

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

Continuous Assessment: This comprises the tests and submissions set out in the course timetable, summarised below along with their percentage contribution to the final course mark:

Theoretical content examinations: 60%

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

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

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

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

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

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

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

Bibliography

Core:

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

Data Structures in Java

McGraw-Hill. 2008.

ISBN: 978-84-481-56

Objectives

To understand the fundamentals of IP-based communications networks.

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

Develop skills in configuring and managing basic IP networks.

Become familiar with network analysis and diagnostic tools.

Prerequisites

No prerequisites have been set

Learning outcomes

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

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

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

RC11 The 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 course content

General content covered by the module:

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

Course content:

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

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

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

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

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

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

Training activities

P1 Lecture

P2 Interactive sessions

P3 Practical sessions

P4 Project work

P5 Independent study

P6 Tutorials

P7 Assessments.

Assessment system and criteria

Methodology:

Lectures: Explanation of concepts and protocols.

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

Laboratory sessions: Setting up and testing real networks.

Assessment:

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

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

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

* Final exam: 75%

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

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

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

There will be three mid-term exams, all of which are compulsory and require a minimum mark of 3, held during class time. If a student scores less than 3 in any exam, that section will be carried over to the final exam. If the average mark for continuous assessment is less than 5.0, the entire subject will be assessed via the final exam, in which laboratory work will be taken into account.

Addendum

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

Bibliography

Core:

1. Andrew S. Tanenbaum

Computer Networks

Pearson Education. 2012.

ISBN: 978-607320959

2. Cisco Networking Academy

CCNA Routing and Switching

Cisco Press. 2016.

ISBN: 978-158720581

3. James F. Kurose, Keith W. Ross

Computer Networking: A Top-Down Approach

Pearson. 2020.

ISBN: 978-013592861

4. W. Richard Stevens

TCP/IP Illustrated, Volume 1: The Protocols

Addison-Wesley Professional. 2011.

ISBN: 978-032133631

Supplementary:

5. Halsall, Fred

Computer Networks and the Internet

Madrid: Pearson Educación, 2006. 2006.

ISBN: 8478290834

Objectives

The aim of this module is to provide the mathematical foundations necessary for 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: Understands the mathematical, logical and physical foundations underlying the scientific method and relates them to the methodologies and creation of paradigms that enable innovation and technological development.

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

Description of the content

General content covered by the module:

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

Course content:

1. Matrices.

2. Vector spaces.

3. Linear mappings.

4. Algebraic structures.

5. Discrete mathematics.

6. Ordinary differential equations.

Teaching activities

P1 Lecture

P2 Interactive sessions

P4 Project work

P5 Independent study

P6 Tutorials

P7 Assessment tests.

Assessment system and criteria

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

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

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

CONTINUOUS ASSESSMENT

Continuous assessment will consist of the following components:

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

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

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

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

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

REGULAR EXAM SESSION

*** Attendance of 70 per cent or more.

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

*** Attendance of less than 70 per cent.

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

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

EXTRAORDINARY EXAMINATION SESSION

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

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

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

Objectives

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

Prerequisites

No prerequisites have been set

Learning outcomes

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

Course description

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

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

Learning activities

P1 Lecture

P2 Interactive sessions

P3 Laboratory sessions

P4 Project work

P5 Independent study

P6 Tutorials

P7 Assessments.

Assessment system and criteria

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.

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EV1 Assessment of practical activities 20%

EV2 Portfolio 30%

EV3 Laboratory notebook or projects 20%

EV4 Final knowledge assessments 30%

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. 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 functions which 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:

Written communication

General and applied writing.

Professional texts in ICT engineering.

Summarising.

ICT-specific vocabulary and terminology.

Information and cataloguing.

Electronic resources.

Training activities

P1 Lectures

P2 Interactive classes

P4 Completing assignments or projects and solving challenges

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

P7 Knowledge assessments

Assessment system and criteria

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.

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ASSESSMENT CRITERIA:

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

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

Lecturer’s assessment: 5%

Main examination (85 per cent of the mark)

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

Final written examination (on the dates of the standard examination session): 45% of the mark. Letter of motivation or cover letter for a professional application. Minimum mark: 5

Supplementary assessment (100%).

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

Timetable

Click on this link to view the detailed timetable in Excel

Objectives

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

Prerequisites

There are no prerequisites.

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

Learning Outcomes

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

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

CG3. To understand the social, ethical and professional responsibilities – and, where applicable, civil responsibilities – associated with the work of a Computer 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 implementation.

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

Course description

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

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

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

- The course uses basic language common to a range of specialisms.

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

Book: Technical English 4 Second Edition (Pearson)

Author: David Bonamy

Syllabus:

Unit 1 Innovations

Vocabulary / Technology

1.1: Oil and gas drilling

1.2: Drilling • remote control

1.3: Laser technology

Grammar / Discourse

1.1: Past / present perfect continuous

1.2: Past participle • cohesion

1.3: Section markers in a talk

Unit 2 Design

Vocabulary / Technology

2.1: Products of space research

2.2: Design • mechanical

2.3: Construction • synthetic textiles

Grammar / Discourse

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

2.2: Modals and semi-modals

2.3: Phrases to encourage participation

Unit 3 Systems

Vocabulary / Technology

3.1: Automotive

3.2: Automotive • braking systems

3.3: Automotive • aeronautics

Grammar / Discourse

3.1: Present continuous passive • phrases suggesting low risk

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

3.3: Contrastive linkers

Unit 4 Networks

Lexis / Technology

4.1: AI • sensors • environmental measurements

4.2: AI • robotics • automotive assembly

4.3: AI • sensors

Grammar / Discourse

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

4.2: Past active vs passive in reports

4.3: Past active vs passive • spoken vs written features

Unit 5 Processes

Lexis / Technology

5.1: Metallurgy • chemistry

5.2: Iron and steel production

5.3: Aluminium refining / smelting

Grammar / Discourse

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

5.2: Choosing between the active and passive voice

5.3: Gerunds / nouns as captions • lexical cohesion

Unit 6 Planning

Vocabulary / Technology

6.1: Petroleum • the environment

6.2: Petroleum • marine

6.3: Transport • mechanical • electrical

Grammar / Discourse

6.1: Phrases expressing degrees of certainty

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

6.3: Phrases for chairing a meeting

Unit 7 Products

Vocabulary / Technology

7.1: ICT • AR • software engineering

7.2: Electronics • touchscreens

7.3: Electrical • materials science

Grammar / Discourse

7.1: Range of forms and functions

7.2: Phrases / linkers expressing comparison and contrast

7.3: Phrases introducing explanations / analogies

Unit 8 Incidents

Vocabulary / Technology

8.1: Logistics • warehousing

8.2: ICT • telecoms • security

8.3: Health and safety • hazardous materials

Grammar / Discourse

8.1: Present perfect passive modal

8.2: Indirect questions and related noun phrases

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

Unit 9 Agreements

Vocabulary / Technology

9.1: Electronics • wireless controls

9.2: Sensor technology

9.3: Employment contracts

Grammar / Discourse

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

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

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

Unit 10 Testing

Vocabulary / Technology

10.1: Destructive testing • earthquake-proofing

10.2: Testing buildings and bridges

10.3: Non-destructive testing

Grammar / Discourse

10.1: Nouns / hyphenated phrases used as pre-modifiers

10.2: Grammar / markers associated with report sections

10.3: Range of language forms

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

Learning activities

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

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

1a) Presentation activities:

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

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

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

1b) Practice activities:

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

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

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

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

• Individual or group work.

1c) Production activities:

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

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

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

• Individual or group oral presentations.

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

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

3) Assessment tests.

Learning activities

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

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

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

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

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

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

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

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

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

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

• Individual or group work.

1c) Production activities: in these, the 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 different pieces of information, which are more challenging than those carried out in the practice activities, based on guidelines set by the teacher.

• Individual or group oral presentations.

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

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

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

4) Assessment tests.

Assessment system and criteria

1. CONTINUOUS ASSESSMENT

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

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

Weighting of the written tests throughout the academic year:

- Written tests (5): 65%

- Oral tests (2): 25%

- Classwork: 5%

- Tutor’s assessment: 5%

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

Listening Comprehension

Vocabulary and specific terminology (Terminology)

Reading Comprehension

Grammar or Linguistic Structures (Grammar)

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

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

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

Listening Comprehension

Vocabulary and Specific Terminology

Reading Comprehension

Grammar or Linguistic Structures (Grammar)

Use of English

Writing

IMPORTANT

1) Students must sit ALL the assessment tests scheduled during the continuous assessment period. It follows that any student who fails to sit any of the mid-term tests WILL LOSE THEIR RIGHT TO CONTINUOUS ASSESSMENT AND WILL HAVE TO TAKE THE ORDINARY EXAMINATION COVERING 100 PER CENT OF THE COURSE, subject to the assessment criteria laid down for that examination session.

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

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

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

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

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

2. REGULAR EXAMINATION PERIOD WITHOUT CONTINUOUS ASSESSMENT AND SUPPLEMENTARY EXAMINATION PERIOD

2.1 Examinations:

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

Written examination: 75%

Oral examination: 25%

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

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

If a minimum mark of 5 has been achieved in the oral assessment, this mark will be retained for the supplementary sitting, should this be necessary, provided the student requests it.

Timetable

Click on this link to view the detailed timetable in Excel

Bibliography

Core:

1. David Bonamy

Technical English, 2nd Edition, Level 4

Pearson Education. 2022.

ISBN: 978-129242449

Objectives

This module invites you to take the leap from being a user of technology to becoming a creator of digital experiences. Computer Science II is designed to help you develop a comprehensive understanding of web development, covering the three technologies that shape and bring to life the interface of any online application: HTML, CSS and JavaScript, as well as the management of the backend and frontend.

Throughout the course, you will not only learn to write code, but also to think like a developer. The aim is for you to understand how these tools work together to build dynamic, functional and visually appealing web applications. You will delve into content structuring, interface design and the logic that transforms a static web page into an interactive and efficient system.

The fundamental aim of the module is for you to acquire the necessary skills to:

- Structure and organise the content of a web page using HTML.

- Design and style the visual presentation of projects using CSS.

- Programme the dynamic behaviour of applications using JavaScript.

- Integrate these three technologies to create complete web projects, with particular emphasis on code modularity and long-term maintainability.

Prerequisites

None

Skills

CG1. Independently acquire new knowledge and techniques appropriate 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.

• Solve problems through abstraction

• Design and implementation of real-world scenarios

• Formulating exercises and subsequently solving them

• Use of relevant literature

Learning outcomes

Ability to apply knowledge to the resolution of

real-world problems

Course description

The course syllabus is structured as a progressive journey that will take you from the fundamentals of markup languages to the creation of complete web applications. The content is organised as follows:

We will begin with the fundamentals of HTML, where you will learn to structure the content of a web page, defining its architecture and the hierarchy of its elements. Next, we will delve into CSS to give our projects style and visual character, mastering the layout of elements and the principles of interface design.

The core of the course centres on JavaScript, the language that brings the web to life. With it, you’ll learn to programme application logic, manage events and manipulate the DOM (Document Object Model) to modify the page’s content and appearance in real time, achieving seamless user interaction.

Finally, we’ll take it a step further by delving into server-side development with Node.js, thereby completing the web application development cycle and preparing you to tackle more complex and professional projects.

Training activities

The training activities designed to ensure that students acquire the intended skills during this module and are able to achieve the expected outcomes of the work carried out 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

Assessment is designed to evaluate both your ongoing progress and your overall knowledge at the end of the course.

Regular Assessment Period

The final mark comprises two main, complementary components:

Continuous Assessment (50 per cent): This reflects your day-to-day work and your ability to apply your knowledge through various mid-term tests and practical assignments submitted throughout the course. It is a way of assessing your development and sustained effort.

In-Person Final Exam (50%): A comprehensive exam that assesses your integration of all the knowledge acquired during the module.

In order for this 50% weighting to apply, you must achieve a minimum mark of 4 in the final exam. If this mark is not achieved, the final mark will consist solely of the mark obtained in that exam.

Extraordinary Examination Session

In this sitting, assessment is based on a single in-person final examination, the result of which will constitute 100 per cent of the final mark for the module.

Objectives

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

Course content

Modularity and Reusability, Functional 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, Testing, verification and validation of programmes, Performance evaluation.

BLOCK 1. Principles of software applications and development

- Internal/external quality factors.

- Preliminary description of object-oriented programming.

- Background and causes

- Modularity

- Reusability

- Functional decomposition vs object-oriented decomposition.

BLOCK 2. Elements of Object-Oriented Programming.

- Classes and objects.

- Relationships between classes: Inheritance and inheritance hierarchy.

- Polymorphism and abstract classes.

- Interfaces and multiple inheritance.

BLOCK 3. Advanced elements of object-oriented programming.

- Generics.

- Error handling with exceptions.

- Assertions.

- Programme testing, verification and validation; performance evaluation.

Learning Activities

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

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

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

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

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

5) Assessment tests.

Assessment system and criteria

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

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

Continuous assessment:

First practical session (40 per cent)

Second practical session (60%)

To pass the module in the standard assessment period, students must achieve 5 out of 10 in all practical assessments. If this mark is not achieved, students must sit the assessment in the supplementary period.

The final exam in the ordinary examination period accounts for 50 per cent of the mark, and continuous assessment accounts for 50 per cent.

The final exam in the supplementary sitting accounts for 100 per cent

Timetable

Click on this link to view the detailed timetable in Excel

Bibliography

Core:

1. Joyanes Aguilar, Luis; Zahonero Martínez, Ignacio

Java 6 Programming: Algorithms and Object-Oriented Programming

McGraw-Hill. 2011.

ISBN: 978-607-15-06

Supplementary:

2. J. Sánchez et al.

Java Programming 2

McGraw-Hill. 2005.

ISBN: 84-481-4591-7

3.- Meyer, Bertrand

Object-Oriented Software Development

2nd ed. Pearson Prentice Hall. 1999.

ISBN: 8483220407

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

Object-Oriented Modelling and Design

Prentice Hall. 1997.

ISBN: 0-13-240698-5

Objectives

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

Prerequisites

No prior requirements have been set for taking this module.

Skills

Basic proficiency in business management techniques.

Learning outcomes

Understanding of business-related topics.

Course content

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

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

Topic 3. The production function of the business.

Topic 4. The financial function of the business.

Topic 5. Sales management. Marketing management.

Topic 6. Business plans.

Learning activities

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

Assessment system and criteria

The criteria for continuous assessment are as follows:

S2. Final knowledge assessments: 60%

- First assessed test: 30%

- Final exam: 30%

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

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

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

REGULAR EXAMINATION PERIOD: students who have not passed the module through continuous assessment will sit an exam on the material they have failed in the January–February exam, which will carry the same weighting as continuous assessment, whilst the rest of their marks will be retained.

SUPPLEMENTARY SESSION: Students who have not passed the module in the ordinary session will sit an exam covering the entire syllabus in the July exam, which will account for 100% of the mark.

Bibliography

Essential:

1. Bueno Campos, E.

Basic Course in Business Economics

Pirámide. 2004.

ISBN: 8436807790

2. Bueno Campos, E.

Business Organisation: Structure, Processes and Models

Pirámide. 1997.

ISBN: 8436809769

Objectives

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

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

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

Prerequisites

No prerequisites have been set.

Knowledge of digital electronic devices and Boolean algebra is recommended.

Competencies

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

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

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

CE6. Design and develop centralised or distributed 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 build digital circuits to implement 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 how to use the equipment in a digital electronics laboratory.

Course content

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

Unit 2: Instructions and addressing modes.

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

and programming structures.

Unit 3: Control unit and data path.

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

Unit 4: Memory and Input/Output.

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

Learning activities

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

1) Classroom presentations on concepts relating to programmable digital electronics, basic computer concepts, and the configuration and evaluation of computer systems, enabling students to learn how to tackle configuration problems, 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 solving programming problems, as well as project proposals, guided internet searches, webquests and other sessions of a predominantly practical nature.

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

4) Assessment tests

Assessment system and criteria

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

Assessed problems, Unit 1 ........... 4%

Assessed problems, Unit 2.............. 6%

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

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

Assessed problems, Unit 5.............. 3%

Continuous Assessment for Units 1 and 2.......... 15%

Continuous Assessment for Units 3 and 4 .......... 15%

February Knowledge Test.............50%

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

The mark for continuous assessment must be >=4 to be eligible for the ordinary examination session.

If the mark for continuous assessment is >= 5, students may sit the exam in the supplementary examination period.

A mark of 5 or above must be obtained in the knowledge tests to pass the module

Alternatively, students may choose to be assessed for the course through a single examination in the supplementary examination session, which will consist of questions covering the entire syllabus (closed-book).

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 cover the main structural and functional aspects that characterise modern operating systems.

Throughout the course, the aim will be 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 over all the system resources under their control. With regard to the first point, it is considered very important that students become familiar with the use of the application programming interface (API) provided by the operating system to request its services and functional capabilities.

Prerequisites

No prerequisites have been set.

Learning Outcomes

RK9 Knowledge of the characteristics, functionalities and structure of Operating Systems, and the ability to design and implement applications based on their services

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.

Learning outcomes

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

RS9 Ability to resolve integration problems based on available strategies, standards and technologies.

Course description

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

Teaching 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 highly practical sessions.

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

4) Assessment tests

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

The allocation of ECTS credits for each of the learning activities

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

1) 2) 3) 4) Total

Operating Systems 1 1 3.5 0.5 6

Assessment system and criteria

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

• Mid-term exam on the theoretical content.

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

Continuous Assessment (40%):

Students must achieve 5 out of 10 marks in all mid-term exams and practical case studies. The mid-term exam on theoretical content will account for 20% of the overall continuous assessment mark and serves as an exemption from the ordinary examination session.

Submissions of the practical case studies will account for 20 per cent of the remaining mark for continuous assessment.

Ordinary examination session:

An examination covering the theoretical content of the module not assessed in the mid-term exam. The exam will account for 60 per cent of the total mark.

Supplementary examination:

Final exam covering the theoretical content of the entire course, accounting for 80 per cent of the mark. The 20 per cent corresponding to the continuous assessment tests and assignments will remain. If any of the assignments have not been submitted, students will be permitted to submit them within the deadline set for this purpose.

Timetable

Click on this link to view the detailed timetable in Excel

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 elements of information of interest to a particular organisation, as well as the various relationships between them, and to serve as a foundation. The data model will ultimately be implemented in a database supported by a suitable computer system.

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

For 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

None

Skills

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

Use professional-grade software development tools

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

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

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

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

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

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

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

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

Learning outcomes

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

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

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

Course content

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

Training Activities

The teaching activities to be carried out to enable students to acquire the intended competences and achieve the learning outcomes will be:

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

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

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

4) Assessment tests

Assessment system and criteria

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

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

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

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

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

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

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

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

Theoretical content examinations: 60%

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

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

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

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

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

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

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

Objectives

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

To apply statistical techniques to problem-solving.

To become familiar with the terminology specific to statistics.

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

Prerequisites

Basic knowledge of mathematics: differential and integral calculus

Skills

· Solve problems through abstraction

· Designing experiments based on real-world scenarios

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

· Designing and carrying out real-world scenarios

· Analysing complex problems

· Setting exercises and subsequently solving them

· Use of relevant literature

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

Learning outcomes

· Ability to apply knowledge to the resolution of

real-world problems

· Carrying out research projects on specific

.

· Designing statistical experiments applied to the

resolving real-world cases

Course description

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

Learning activities

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

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

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

, etc.

2) Independent study, report writing, carrying out

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

students.

3) Assessment tests.

Assessment system and criteria

The assessment activities will be as follows:

1- For competences involving the skill of searching for, analysing and synthesising information, students will be required to produce reports, assignments, etc. based on real-life cases.

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

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

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

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

2. Submit all practical assignments.

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

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

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

weighting of 45 per cent each.

2. Practical assignments and projects, each accounting for 10 per cent.

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

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

Prerequisites

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

Learning Outcomes

• Understand the principles of communication protocols and layered architecture.

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

• Design and implement a network structure involving interconnection devices.

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

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

2) To conceive and carry out IT projects using engineering principles and methodologies.

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

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

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

Learning outcomes

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

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

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

Training activities

Two hours of theory per week:

Exercises set in class.

Discussions on current issues related to the syllabus.

Two hours per week in the lab:

Practical work following a guide provided by the teacher.

Preparation of a report by the student.

Objectives

This module is divided into a series of modules aimed at improving and refining the techniques that 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. Students will also be taught the most common techniques for testing programmes and computer systems.

Prerequisites

First-year courses in Programming Fundamentals and Data Structures.

Competencies

• Solve problems by applying abstraction

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

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

• Use professional-grade programming tools

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

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.

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 teaching activities designed 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 relating to databases, application usability and artificial intelligence techniques, 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 types of sessions of a predominantly practical nature.

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

4) Assessment tests

Assessment system and criteria

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

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

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

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

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

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

<b>Regular assessment period</b>

Assessment will consist of the following components:

- 60% from two theoretical/practical examinations.

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

<b>Extraordinary examination session</b>

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

- 60% from a theoretical/practical examination.

- 40% from the course practicals.

Objectives

The aim of this module is to provide students with the knowledge and skills required for the installation, configuration, administration, operation and maintenance of computer systems and the main associated infrastructure services.

Throughout the module, students will acquire practical skills in administering Linux and Windows systems, managing users, groups, storage and file systems, deploying and configuring network and infrastructure services, and applying basic security, monitoring and diagnostic mechanisms.

By the end of the module, students should be able to deploy and maintain operational IT systems and services, analyse incidents and apply security, performance and availability criteria in their administration.

Prerequisites

None

Competencies

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 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 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 description

The module covers systems administration and the deployment of infrastructure services, combining the fundamentals of operating system administration with their practical application.

The main topics covered are:

Linux system administration.

Management of users, groups, permissions, storage, file systems and basic system configuration.

Infrastructure and identity services: DNS, DHCP and LDAP.

Installation, configuration and administration of web servers.

Installation, configuration and administration of file servers.

Authentication and access control services using RADIUS and AAA mechanisms.

Integration of the concepts studied and analysis of equivalent services in Windows environments.

The course content will be delivered through theoretical sessions and practical laboratory activities, using virtual machines and system administration environments.

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

In the standard assessment period, the assessment of the module is structured as follows:

Continuous assessment: 50%

Practical work and assignments: 60 per cent of the continuous assessment.

Mid-term assessments: 40% of continuous assessment.

Final knowledge assessment: 50 per cent.

The final examination will be both theoretical and practical in nature and may include both conceptual questions and exercises involving configuration, analysis or case studies using a computer-based environment.

To pass the module, students must achieve a minimum mark of 5 in the knowledge assessments.

Practical activities must be completed and submitted during the designated teaching period. The mark for continuous assessment may be carried over to the supplementary examination session provided it is 5 or above.

In the resit session, assessment will take the form of a single theoretical and practical knowledge test, accounting for 100 per cent of the mark, on the official date set by the University.

The scheduled mid-term tests are theoretical in nature, whilst the final examination may include a practical component, such as solving case studies using a computer or virtual machine.