This learning unit is not open to incoming exchange students!
Teacher(s)
Language
French
Prerequisites
This course assumes that you have acquired the skills of the end of secondary school allowing you to translate a problem into a system of equations with several variables and to solve it.
Main themes
The course emphasizes:
Matrix calculation
Solving Systems of Linear Equations
Linear algebra
- the understanding of mathematical tools and techniques based on a rigorous learning of the concepts favored by the highlighting of their concrete application,
- the rigorous manipulation of these tools and techniques within the framework of concrete applications.
Matrix calculation
Solving Systems of Linear Equations
Linear algebra
Learning outcomes
At the end of this learning unit, the student is able to : | |
| S1.G1 S2.2 | With regard to the AA reference system of the "Bachelor in Computer Science" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes: S1.G1 S2.2 Students who successfully complete this course will be able to:
|
Evaluation methods
Students are assessed individually during a written exam on the basis of the learning outcomes announced above. In addition, homework or project results will be incorporated into the final grade (4 points out of 20 points). The exact terms and conditions will be specified during the course.
Bibliography
S. Boyd et L. Vandenberghe, Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares, Cambridge University Press, 2018.
Teaching materials
- S. Boyd et L. Vandenberghe, Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares, Cambridge University Press, 2018.
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Bachelor in Computer Science
