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| MQGE0005-2 | Quantitative Methods in Management
- Partim Operations Research
- Partim Statistics
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| Duration : | Partim Operations Research : 12h Th
Partim Statistics : 12h Th
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| Credits/ECTS : |
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| Holder(s) : | Partim Operations Research : Yasemin Arda
Partim Statistics : Cédric Heuchenne
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| Language : | Langue anglaise |
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| Course contents : |
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| Operations research is a discipline that aims to solve complex real world decision problems using scientific approaches. Application areas of this discipline are various : transportation, industrial production, telecommunication, administration, etc. The course gives an introduction to the most popular mathematical models and methods of operations research : linear programming, integer programming, queuing models, simulation. |
| | Partim Statistics |
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| In this course, the methods studied in basic statistical courses are adapted to analyzing useful applied issues in Economics and Management (comprehension of a situation and its evolution, support for decision-making...).
Covered contents will be first variance analysis (comparison of several averages) and inter-variable relation modelling (linear models). Next, we will develop some nonparametric tests (goodness-of-fit and independence). Finally, students will be introduced to the maximum likelihood estimation method and some basic concepts in time series and multivariate analysis. |
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| Course objective : |
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| The principal objective of this course is to familiarise students with the mathematical models of real world decision problems and the fundamental methods of operations research. It will allow students to recognise the situations where operations research techniques can be used as decision making tools and to interpret correctly the conclusions which can be derived from such approaches. |
| | Partim Statistics |
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| C1. To acquire an overview of statistical problems met in the fields of Economics and Management.
P2. To be able to solve and interpret solutions of practical simple problems related to the theoretical part of the course.
P3. To be able to recognize situations where studied methods can be applied and what are their limitations in such particular situations. |
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| Prerequisites : |
| | Partim Operations Research |
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| Basic notions of mathematics and statistics |
| | Partim Statistics |
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| Probability and statistical inference STAT0067-1 |
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| Workshops : |
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| Organization : |
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| Lectures, exercise sessions, readings, assignments and invited speaker.
From 15/04/2008 to 25/04/2008 : Tuesday 15/04 and 22/04, Wednesday 16/04 and 23/04 and Thursday 17/04 and 24/04 from 10:00 to 12:00 at the building N1, Friday 18/04 and 25/04 from 10:30 to 12:30 at the building B31. |
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| Used methodology
A1. Ex-cathedra classes: theoretical introduction and applications (quick overview of lessons of previous years, presentation of various methods, interpretation of their solutions, examples)
A1. Study and comprehension of the course material
A2. Supervised software applications: the professor presents the software to the students during the teaching sessions, and gives them exercises. Each student is expected to solve those exercises, aside from the teaching sessions (with the possible help from the professor).
A3. Supervised real data analysis: the teacher submits to the students a particular problem, whose analysis requires the use of the procedures studied in the course. A small work, suggesting some possible solutions to the problem, has to be handed in by each group of students.
Overview of the course agenda
The course starts on 15/04/2008 and ends on 25/04/2008. The statistical part of the course consists of 4 mornings of 3 or 4 teaching hours. Each morning is divided into two parts: an ex-cathedra part, and an applications part. The real data analysis is presented during the last class, and the corresponding student work has to be handed in for the week preceding the beginning of the evaluations.
Decomposition of the student workload
A1 Ex-cathedra course (10h)
A2 Study (10h)
A2 Software applications (4h)
A3 Real data analysis (6h)
Exam (2h) |
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| Written notes : |
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| Syllabus and/or supports of PowerPoint presentations, exercises, book chapters and articles.
Recommended reference :
Winston, W.L., Operations Research: Applications and Algorithms, Duxbury Press, 3th edition, California, 1994. |
| | Partim Statistics |
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| The syllabus, the slides of the course and the statements of exercises and real data analysis will be placed at the disposal of students (also online on lol@).
Advised books:
Course materials: References: Wonnacott R.J. and Wonnacott T.H. (1990), Introductory Statistics for Business and Economics, New York, John Wiley & Sons (ISBN : 047161517X)
Simar, L. (2003), Statistique en Economie et Gestion, manuscript 248 pages, Institut de Statistique, Université Catholique de Louvain, Louvain-la-Neuve |
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| Assessment : |
| | Partim Operations Research |
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| Written exam and assignments |
| | Partim Statistics |
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| E3. Real data analysis work, to be handed in for the week preceding the evaluations. This work adds or takes away a maximum of 2 points to the final grade.
E1/E2/E3. Final written exam (during the weeks dedicated to the evaluations), covering the complete course material (50% dedicated to theory, 30% to applications and 20% to questions concerning the real data analysis). |
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| Contacts : |
| | Partim Operations Research |
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| Yasemin ARDA
Assistant Lecturer
Supply Chain Management and Logistcs
HEC-ULg
Yasemin.Arda@ulg.ac.be
Phone : +32 (0) 4 232 73 83
Fax : +32 (0) 4 232 72 40 |
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| Cédric HEUCHENNE, HEC-ULg Management School of the University of Liège, B31, local 2.53, email: C.Heuchenne@ulg.ac.be |
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