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.
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