Educational guide
IDENTIFYING DATA 2018_19
Subject COMPUTER ARCHITECTURE Code 00709020
Study programme
GRADO EN INGENIERÍA INFORMÁTICA
Descriptors Credit. Type Year Period
6 Compulsory Second Second
Language
Castellano
Ingles
Prerequisites
Department ING.MECANICA,INFORMAT.AEROESP.
Coordinador
FERNÁNDEZ DÍAZ , RAMÓN ÁNGEL
E-mail raferd@unileon.es
lsang@unileon.es
agueh@unileon.es
dmartm@unileon.es
Lecturers
FERNÁNDEZ DÍAZ , RAMÓN ÁNGEL
SÁNCHEZ GONZÁLEZ , LIDIA
GUERRERO HIGUERAS , ANGEL MANUEL
MARTINEZ MARTINEZ , DAVID
Web http://agora.unileon.es
General description Computer architecture, parallelism, multiprocessors
Tribunales de Revisión
Tribunal titular
Cargo Departamento Profesor
Presidente ING.MECANICA,INFORMAT.AEROESP. MATELLAN OLIVERA , VICENTE
Secretario ING.MECANICA,INFORMAT.AEROESP. ALFONSO CENDON , JAVIER
Vocal ING.MECANICA,INFORMAT.AEROESP. PANIZO ALONSO , LUIS
Tribunal suplente
Cargo Departamento Profesor
Presidente ING.MECANICA,INFORMAT.AEROESP. FERNANDEZ LLAMAS , CAMINO
Secretario ING.MECANICA,INFORMAT.AEROESP. RODRIGUEZ DE SOTO , ADOLFO
Vocal ING.MECANICA,INFORMAT.AEROESP. ALIJA PEREZ , JOSE MANUEL

Competencias
Code  
A8425
A8571
A8574
A8602
A8612
A8621
C2

Learning aims
Competences
Quantitative assessment of computer systems performance, making comparisons among computers in order to choose the best one. A8425
A8571
A8574
A8602
 C2
Pipelining and its application to simple architectures A8425
A8571
A8574
A8602
A8612
 C2
Concepts of Instruction Level Parallelism and their effect on overall performance A8425
A8602
A8612
 C2
Basic concepts of multiprocessor technologies A8425
A8602
A8612
A8621
 C2

Contents
Topic Sub-topic
I. Quantitative assessment of computers performance
II. Pipelining
III. Instruction Level Parallelism
IV. Multiprocessors

Planning
Methodologies  ::  Tests
  Class hours Hours outside the classroom Total hours
Problem solving, classroom exercises 16 15 31
 
Laboratory practicals 22 30 52
Personal tuition 3 0 3
 
Lecture 16 15 31
 
Extended-answer tests 6 27 33
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies   ::  
  Description
Problem solving, classroom exercises Formulation, analysis, resolution and debate of a problem or exercise related to the topic of the subject.
Laboratory practicals Practical application of the theory of a knowledge area in a particular context. Practical exercises in the different laboratories.
Personal tuition Time that each teacher has to speak to pupils and resolve their doubts.
Lecture Description of the contents of the subject.

Personalized attention
 
Laboratory practicals
Problem solving, classroom exercises
Lecture
Extended-answer tests
Description
The teacher will speak to the students and solve their doubts both, in his office and at the web's forum.

Assessment
  Description Qualification
Laboratory practicals Lab assignments must work properly, and the students might be required to do some exams in order to probe they did their own work. 30%
Problem solving, classroom exercises The student will have to solve several exercises during the semester. There will be a deadline for each exercise. 20%
Extended-answer tests Written exam which will include essay questions and problems. 50%
 
Other comments and second call

The marks assigned to the exercises given during the semester will be that of one of them, chosen randomly. All the assignments must be submitted before the deadlines.

Lab assignments will consist in developing software and must be finished in due times, and the students have to pass every single one. The lecturer will choose the assessment methodology for each lab assignment .

To pass this subject, it is required that the student gets a minimum of 50% the maximum qualification in both, the lab assignments and in the written exam. The sum of all the qualifications must be at least 50%.

The second call will consist in a written exam only, being its mark added to those obtained during the semester for the lab assignments and the exercises.

Sources of information
Access to Recommended Bibliography in the Catalog ULE

Basic J.L. Hennessy; D.A. Patterson., Computer Architecture: A Quantitative Approach, 5th Ed, Morgan-Kaufmann,

Complementary D. Sima, T. Fountain & P. Kacsuk , Advanced Computer Architecture: A Design Space Approach , Addison-Wesley ,
K. Hwang , Advanced Computer Architecture: Parallelism, Scalability, Programability , Mc.Graw-Hill ,
J. Ortega, M. Anguita & A. Prieto , Arquitectura de Computadores , Thomson ,
J. Sánchez , jercicios y Exámenes de Estructura y Tecnología de Computadores III , Estudios de la UNED ,


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