 | | |
| MQGE0002-3 | Advanced Operations Research
|
|
| Duration : | 30h Th |
|
| Number of credits : |
| Master degree in Business Engineering, professional focus in Performance Management and Control, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Financial Engineering, 1st year | | 5 |
|
| Master in Management Engineering, professional Focus, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Intrapreneurship, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Modelisation and Technologies, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Supply Chain Management, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focusin Performance Management Systems, 1st year | | 5 |
|
|
|
| Lecturer : | Yves Crama |
|
| Substitute(s) : | Yasemin Arda |
|
Language(s) of instruction :
|
| English language |
|
Organisation and examination :
|
| Teaching in the second semester |
|
Course contents :
|
| The aim of this course is to present various aspects of mathematical modeling and of problem-solving strategies as they are used in operations research for the solution of realistic, large-scale, complex problems.
The course contains several independent parts:
- Integer programming and network problems. Branch-and-bound method. Modeling and solution of large-scale models.
- General-purpose heuristic strategies for the solution of combinatorial optimization problems, such as Lagrangean relaxation, tabu search or variable neigborhood search; the practical implementation of such methods is illustrated on a variety of optimization problems.
- As time allows: other numerical methods, such as Newton's method, gradient methods, neural networks etc. |
|
Learning outcomes of the course :
|
| By the end of this course, the students will be able to model complex decision-making problems and to implement appropriate methods for their solution. They will better understand the opportunities offered by optimization methods, as well as their intrinsic limitations.
As a side-benefit, they will also develop advanced computer programming skills that are transferable to different business contexts.
Intended Learning Outcomes addressed by the courses :
- Strengthening knowledge and understanding of basic management disciplines in order to use them to perform a rigorous analysis of a management situation and provide pertinent solutions
- Ability to speak 2 foreign languages: C1 in English and B2 in one other language
- Understanding and being capable of using modelization methods when seeking a solution for a concrete management problem
- Providing concrete solutions to a management problem, integrating a dimension of technology, innovation or production
- Being capable of professional team work
- Creative conception of solutions
- Professional capacity for oral communication
- Professional capacity for written communication
|
|
Prerequisites and co-requisites/ Recommended optional programme components :
|
| Prerequisites:
- Mathematics: calculus and matrix algebra.
- Operations research: an introductory course covering linear programming models and methods.
- General proficiency with personal computers.
- Command of a computer programming language (MathLab, SciLab, Pascal, C, Visual Basic,...). |
|
Planned learning activities and teaching methods :
|
| Group and individual projects: computer implementations and written reports. |
|
Mode of delivery (face-to-face ; distance-learning) :
|
| Lectures and computer labs. Group and individual projects: computer implementations and reports. Attendance is mandatory. |
|
Recommended or required readings :
|
| Lecture notes:
Y. Crama, Advanced Operations Research, ULg. |
|
Assessment methods and criteria :
|
| The final note will be based on:
- the evaluation of projects (written reports), 90%,
- and the written exam, 10%.
Relative weighting of the individual assessment : 10% |
|
Work placement(s) :
|
| |
|
Organizational remarks :
|
| This course is taught in English.
See the Lola Web site
http://lola.hec.ulg.ac.be/index.php
for additional information. |
|
Contacts :
|
| Y.ARDA
(yasemin.arda@ulg.ac.be)
H. KUCUKAYDIN
(hkucukaydin@ulg.ac.be)
Assistant:
R. SADRABADI
(M.Rezaei@ulg.ac.be) |
|
