Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
6 credits
30.0 h + 30.0 h
Q1
Teacher(s)
Sadre Ramin;
Language
English
Prerequisites
- LSINF1252 : Computer Systems
- LBIR1212 (SINF) : Probabilities and statistics (I) ou
- LEPL1108 (FSA : Mathématiques discrètes et probabilité
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
Aims
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:
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:
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:
Students completing this course successfully will be able to
|
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Evaluation methods
- Project (40% of the final mark)
- Final exam (60% of the final mark)
Other information
Background :
- basic computer architecture and operating systems concepts (LSINF1252)
- computer networks organisation and protocols LINGI1341
Online resources
Moodle
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
Aims
Master [120] in Data Science Engineering
Master [120] in Computer Science and Engineering
Master [60] in Computer Science
Master [120] in Computer Science
Master [120] in Data Science: Information Technology