Advanced Topics in Decision Support

In this course, we start with a presentation of the dynamic programming approach which is a mathematical optimization method. This technique will be illustrated using well-known problems like the knapsack problem, the stock management problem, the resource allocation problem or the shortest path problem.

In a second part, we will concentrate on network flow problems (max flow, min cost flow, etc…). Our focus will be on the modeling part but we will also see how to solve such problems efficiently using well-known algorithms.

In the last part, we introduce project management/scheduling problems, present the critical path method as well as the concept of crashing. We also focus on the case when the exact durations of the tasks to be executed are not known.

All topics will be illustrated by examples taken from economics, management science and operations research.

The organizer of this teaching unit and its evaluation is the Faculty of Economics and Social Sciences of the University of Fribourg. Note that the registration procedure and deadlines are different from the JMCS.

Details

Code	53086
Type	Course
ECTS	5
Site	Fribourg
Track(s)	T5 – Information Systems and Decision Support
Semester	S2022

Teaching

Learning Outcomes	Understand the dynamic programming approach and be able to apply it to real problems. Be able to model and solve real world problems using network flow techniques. Be able to solve project management problems using the CP method as well as understand the concept of crashing.
Lecturer(s)	Bernard Ries
Language	english
Course Page	The course page can be found at https://www3.unifr.ch/timetable/en/course.html?show=99266.

Schedules and Rooms

Period	Weekly
Schedule	Wednesday, 15:15 - 18:00
Location	UniFR, PER21

Additional information

Comment

First Lecture The first lecture will be announced later.