Architecture and performance of computer systems

linfo2241  2021-2022  Louvain-la-Neuve

Architecture and performance of computer systems
6.00 credits
30.0 h + 30.0 h
Q1
Teacher(s)
Sadre Ramin;
Language
English
Main themes
  • Organization of operating systems
  • Management of devices by the operating system
  • Management of storage devices by the operating system
  • Filesystems
  • Virtualization
  • Evaluation and improvement of performance of computer systems
Learning outcomes

At the end of this learning unit, the student is able to :

1
Given the learning outcomes of the "Master in Computer Science and Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
  • INFO1.1-3
  • INFO2.4-5
  • INFO5.2-5
  • INFO6.1, INFO6.3
Given the learning outcomes of the "Master [120] in Computer Science" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
  • SINF1.1-3
  • SINF2.4-5
  • SINF5.2-5
  • SINF6.1, SINF6.3
Given the learning outcomes of the "Master [60] in Computer Science" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
  • 1SINF1.M1 1SINF1.M2
  • 1SINF2.4-5
  • 1SINF5.2-5
  • 1SINF6.1, 1SINF6.3
Students completing this course successfully will be able to
  • compare different implementations for operating systems and highlight the advantages and disadvantages of these achievements
  • explain the interactions between the operating system and the hardware (storage, network, virtualization)
  • evaluate the performance of a computer system
  • identify factors that limit the performance of a computer system
 
Teaching methods
The course consists of a series of lectures and accompagning exercises and project(s). The teaching method can change depending on the circumstances and the number of participating students or for other reasons. Face-to-face classes as well as remote teaching or a mix of the two methods are possible.
Evaluation methods
Mode of evaluation in the January session:
  • Project (40% of the final mark)
  • Final exam (60% of the final mark)
If the student fails to obtain at least 50% of the total points in the January session, the student can repeat only the failed part(s) (exam and/or project) in the August session. However, in that case the project has to be done alone and a new topic might be assigned.
Other information
Background :
  • basic computer architecture and operating systems concepts (LINFO1252)
  • computer networks organisation and protocols LINGI1341
Online resources
Moodle et/ou Teams
Bibliography
  • Publications (scientific papers and public websites)
  • MoodleUCL
Faculty or entity
INFO


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Data Science Engineering
DATE2M
6
Master [120] in Computer Science and Engineering
INFO2M
6
Master [120] in Data Science: Information Technology
DATI2M
6
Master [60] in Computer Science
SINF2M1
6
Master [120] in Computer Science
SINF2M
6