XSL Content

Computer Architecture

Centre
Faculty of Economics and Business. Álava Department
Degree
Doble Grado en ADE + Ingeniería Informática de Gestión y Sistemas de Información
Academic course
2024/25
Academic year
3
No. of credits
6
Languages
Spanish

TeachingToggle Navigation

Distribution of hours by type of teaching
Study typeHours of face-to-face teachingHours of non classroom-based work by the student
Lecture-based4567.5
Applied laboratory-based groups1522.5

Teaching guideToggle Navigation

AimsToggle Navigation

The course aims to acquire the SPECIFIC COMPETENCES OF THE MODULE:



M02CM9-Ability to know, understand and evaluate the structure and architecture of computers, as well as the basic components that make them up.



M02CM14-Knowledge and application of the fundamental principles and basic techniques of parallel, concurrent, distributed and real-time programming (partial identification, only parallel programming).

parallel programming only)



These correspond to the DEGREE COMPETENCES:



G004-Ability to define, evaluate and select hardware and software platforms for the development and execution of computer systems, services and applications.



G006.- Ability to conceive and develop centralised or distributed computer systems or architectures integrating hardware, software and networks.



G009.- Ability to solve problems with initiative, decision-making, autonomy and creativity. Ability to know how to communicate and transmit the knowledge, skills and abilities of the profession of Technical Engineer in Computer Science.



These correspond to the following EQF BASIC COMPETENCES:



CB1.- That students have demonstrated to possess and understand knowledge in an area of study that starts from the basis of general secondary education, and is usually found at a level that, although it is supported by advanced textbooks, also includes some aspects that involve knowledge from the forefront of their field of study.



CB2.- Students are able to apply their knowledge to their work or vocation in a professional manner and possess the competences usually demonstrated through the development and defence of arguments and problem solving within their field of study.



CB3.- Students have the ability to gather and interpret relevant data (usually within their area of study) in order to make judgements that include reflection on relevant social, scientific or ethical issues.



CB4.- Students are able to transmit information, ideas, problems and solutions to both specialist and non-specialist audiences.



CB5.- That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy.





With regard to the TRANSVERSAL COMPETENCES, since the approved regulations do not specify them, the Quality Commission of the centre drew up a document ‘Guidance for the work on the Improvement and Accreditation of the Degrees’, in which it is recommended to work on several transversal competences.

recommended to work on several transversal competences. Of these, the following are worked on at a basic level

level, the following are worked on:



- Written communication

- Capacity for innovation and creativity

- Autonomous learning



Regarding the LEARNING OUTCOMES, in the degree document they are not specified for the module to which the subject belongs.

TemaryToggle Navigation

In the theoretical part of the course, the following concepts will be dealt with:

1. Cache memory. Most important design parameters.

2. Linear Segmented Processor.

3. SIMD Instructions.

4. Introduction to Parallelism.



In the practical part of the course, small projects will be carried out with flexible programmable systems.



In this line, from the academic year 2022/23 an i3kd activity will be incorporated into the course (depending on budget availability) to encourage active learning by the students, showing that the knowledge related to specific hardware of the course has direct application in day-to-day life. This activity consists of the implementation of a CO2 meter by the students. This could be done by means of a specific lecture by teachers from outside the subject.

MethodologyToggle Navigation

The teaching methodology is based on cooperative learning and problem-based learning (PBL), using mainly group work and autonomous learning.



Topic 1: Short presentations by the teacher and group work through cooperative learning.



Topic 2: Group work through cooperative learning.



Topic 3: Group work through cooperative learning.



Topic 4: Group work through problem-based learning (PBL).



Practical: Group work through cooperative learning.

Assessment systemsToggle Navigation

-Theory Topics 1, 2 and 3:

Own theoretical group work: 35%.

Tests on other theoretical and/or practical work: 20%.

-Theory Topic 4: Methodology AB Problems: 25% -Practicals: 20% -Teachings: 20% -Theoretical work

Practical work: 20% -Practical work: 20% -Modification according to oral presentation within the group

-Modification according to oral presentation within each section: up to ±10%.

Modification according to cross-evaluation of peers within each section: up to ±10% -Modification according to cross-evaluation of peers within each section: up to ±10%.



According to the Regulations governing student assessment in official undergraduate degrees, chapter II, article 8, section 3, all students will have the right to be assessed using the final assessment system, regardless of whether or not they have participated in the continuous assessment system. To this end, students must submit a written waiver of continuous assessment to the lecturer responsible for the subject, for which they will have a period of 9 weeks from the beginning of the term, in accordance with the academic calendar of the centre.

Compulsory materialsToggle Navigation

Given the high technological component of the subject and the great dynamism of these technologies, the teaching team of the subject will indicate at the beginning of the course the compulsory material to be used in the course (if any).

BibliographyToggle Navigation

Basic bibliography

ARQUITECTURA DE COMPUTADORES. UN ENFOQUE CUANTITATIVO.

J.L. Hennessy, D.A. Patterson. McGraw-Hill, 1993.



COMPUTER ARQUITECTURE. A QUANTITATIVE APPROACH.

J.L. Hennessy, D.A. Patterson (4. ed.) Morgan Kaufmann, 2007



ORGANIZACION DE COMPUTADORES.

V.C. Hamacher, Z.G. Vranesic y S.G. Zaky. Ed. McGraw-Hill, 2003 (5. edición).





ORGANIZACION Y ARQUITECTURA DE COMPUTADORES.

W. Stallings. Ed. Prentice-Hall, 2006 (7. edición).

In-depth bibliography

Due to the great dynamism of the contents of the subject, there is no established in-depth material on the subject. At the beginning of the course, students will be offered a set of updated bibliographical references.

Journals

Due to the great dynamism of the contents of the subject, there is no established set of reference journals for the subject. At the beginning of the course, students will be offered an updated set of journals.

GroupsToggle Navigation

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