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 + 45.0 h
Q1
Teacher(s)
Bruno Giacomo;
Language
French
Prerequisites
None
Main themes
Computer science: computers, data communication and programming.
Numerical methods and their applications.
Numerical methods and their applications.
Aims
At the end of this learning unit, the student is able to : | |
| 1 |
a. Contribution of the teaching unit to the program objectives AA1 : 1.1, 1.5, 1.7 AA2 : 2.3, 2.4 AA3 : 3.2 b. Specific learning outcomes of the teaching unit At the end of this teaching unit, the student will be able to: 1. use a computer and data communication networks with an understanding of how these tools work; 2. master an object-oriented programming language and develop software solutions for various types of requests; 3. apply the most common numerical methods to perform scientific calculations; 4. analyze a complex scientific problem and imagine a solution using numerical methods and computer programming; 5. Summarize his/her approach and results in the context of the previous point in a written report. |
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”.
Content
History of computing.
Architecture and operation of computers.
Network communication.
An object-oriented programming language.
Matrix diagonalization techniques for solving systems of equations.
Interpolation / adjustment / extrapolation methods.
Digital integration methods.
Monte Carlo method and its applications.
Application of the above methods to physics systems and problems in the computing laboratory. Projects to be carried out alone or in small groups.
Architecture and operation of computers.
Network communication.
An object-oriented programming language.
Matrix diagonalization techniques for solving systems of equations.
Interpolation / adjustment / extrapolation methods.
Digital integration methods.
Monte Carlo method and its applications.
Application of the above methods to physics systems and problems in the computing laboratory. Projects to be carried out alone or in small groups.
Teaching methods
In-depth explanations during the lectures of the content of the teaching unit. Programming exercises in the computing laboratory using the most common numerical methods. Application to physics systems and problems.
Evaluation methods
Written exam requesting, on the one hand, answers to open questions about the content of the teaching unit and, on the other hand, solutions to problems to be solved with software written by students and run on classroom computers. Laboratory reports.
Bibliography
https://docs.python.org/3.6/
W. Stallings, "Computer Organization and Architecture", ed. Pearson.
W. Stallings, "Data and Computer Communications", ed. Pearson.
A. L. Garcia, "Numerical methods for Physics", ed. Prentice Hall.
W. H. Press and others, "Numerical Recipes", ed. Cambridge University Press.
J. Kiusalaas, "Numerical Methods in Engineering with Python 3", ed. Cambridge University Press.
Diapositives et syllabus mis à disposition sur le site moodle du cours.
W. Stallings, "Computer Organization and Architecture", ed. Pearson.
W. Stallings, "Data and Computer Communications", ed. Pearson.
A. L. Garcia, "Numerical methods for Physics", ed. Prentice Hall.
W. H. Press and others, "Numerical Recipes", ed. Cambridge University Press.
J. Kiusalaas, "Numerical Methods in Engineering with Python 3", ed. Cambridge University Press.
Diapositives et syllabus mis à disposition sur le site moodle du cours.
Faculty or entity
PHYS
