| MATH0057-3 | |||||
| Mathematics for economic and management sciences (part 2) | |||||
|
Duration :
|
|||||
| 30h Th, 30h Pr | |||||
|
Number of credits :
|
|||||
|
|||||
|
Lecturer :
|
|||||
| Pascal Dupont | |||||
|
Language(s) of instruction :
|
|||||
| French language | |||||
|
Organisation and examination :
|
|||||
| Teaching in the first semester, review in January | |||||
|
Units courses prerequisite and corequisite :
|
|||||
| Prerequisite or corequisite units are presented within each program | |||||
|
Learning unit contents :
|
|||||
| Contents : 1. Calculus (functions of one variable): antiderivatives and integrals; 2. Linear algebra: rank; eigenvalues and eigenvectors; diagonalization of matrices; quadratic forms; 3. Calculus (functions of several variables): partial derivatives, differentials,optimization with or without constraints; 4. Functional equations (differential equations, recurrence equations). Applications to management science and economics. | |||||
|
Learning outcomes of the learning unit :
|
|||||
| Strategy : The course will allow students to analyse the financial and economic context of a complex situation. The course will allow students to demonstrate scientific precision and a critical mind in the analysis of a complex situation. Implementation : The course will train the student to capitalize on the characteristics of a more and more digitalized world when confronted with a complex situation. Adaptability : The course will encourage students to be curious and to show a scientific precision of academic level in their studies as well as in their professional life. | |||||
|
Prerequisite knowledge and skills :
|
|||||
| Calculus (functions of one variable, up to derivatives) and basic linear algebra (matrices and determinants). | |||||
|
Planned learning activities and teaching methods :
|
|||||
| Each notion of the contents is illustrated by exercises. | |||||
|
Mode of delivery (face-to-face ; distance-learning) :
|
|||||
| - Ex-cathedra lectures. - Exercises within groups of students. - Possibility to attend "questions-and-answers" sessions. | |||||
|
Recommended or required readings :
|
|||||
| Lecture notes and slides available on LoL@.
Exercices booklet available on LoL@.
For extra exercises: Pascal Dupont, Exercices corrigés de mathématiques, De Boeck Université, Bruxelles, 2008. Additional references about linear algebra: David Lay, Algèbre linéaire et applications, Pearson, Montreuil, 2012 ; Shin Takahashi, Iroha Inoue, The Manga Guide to Linear Algebra, No Starch Press, s. l., 2012. |
|||||
|
Assessment methods and criteria :
|
|||||
| Written and/or oral exam with theory and exercises.
If the marks N_T for the theory and the marks N_P for the exercises are both greater than or equal to 05/20, the final marks are N = 0.4 x N_T + 0.6 x N_P; otherwise, N = min{N_T, N_P}. |
|||||
|
Work placement(s) :
|
|||||
|
Organizational remarks :
|
|||||
|
Contacts :
|
|||||
| Instructor :
Pascal Dupont,
HEC-École de Gestion de l'ULg,
Rue Louvrex 14,
4000 Liège
(Building N1, room 327).
Phone : +32 4 232 73 03 ;
Email: pascal.dupont@ulg.ac.be
Assistant : Anne-Sophie Hoffait, HEC-École de Gestion de l'ULg, Rue Louvrex 14, 4000 Liège (Building N1, room 306). Phone : +32 4 232 73 75 ; Email: ashoffait@ulg.ac.be |
|||||