Saint-Louis University - Bruxelles
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ECGE1231 - Mathematics for economics and management III


USL-B


Credits : 4

Lecturer :
Teaching assistant :
Mode of delivery :
Face-to-face , second term, 30 hours of theory and 15 hours of exercises.

Timetable :
Second term
Tuesday from 10:45 to 12:15 at 109 Marais 301
Thursday from 15:45 to 17:15 at 109 Marais 301

Language of instruction :
French

Learning outcomes :
The themes studied are those found in standard textbooks on matrix calculation or linear algebra. The course also provides an introduction to linear programming.

The course can be presented as a framework for generalizing an extremely simple model: proportionality between two variables, y=ax (in order to produce an output equal to x, a quantity y of an input is required, in constant proportion a to the output).

Another objective is to familiarise students with the calculating power of matrix formalism.

Prerequisites :
For the Bachelor in Economics and Management :

For the Bachelor : Business Engineering :

For the Bachelor in Economics and Management :


Co-requisites :
None

Course contents :
Linear equations & linear algebra.
Linear programming
Matrix algebra
Determinants
Vector spaces
Eigenvalues and eigenvectors
Orthogonality and least squares
Symmetric matrices and quadratic forms

Planned learning activities and teaching methods :
All parts of the course with the exception of the part dealing with linear programming, are based on the book : «Algèbre linéaire et applications», par David Lay, Pearson, 2012. The book is available from the reprographics unit.

The reference book contains a large number of examples and exercises some of which also provide answers. Students are also expected to undertake personal study.


Assessment methods and criteria :
Summative assessment / The examination is closed book / An exam form is distributed at the examination.

The examination includes questions to assess student's basic understanding, cross-cutting questions as well as exercise-style questions similar to those worked on in class. In most cases, questions test both theoretical knowledge and applied skills.


Recommended or required reading :
"Algèbre linéaire et applications", par David Lay, Pearson, 2012. (Disponible à la reprographie).


Other information :
Course notes for linear programming are available at the reprographics unit.