LEARNING OUTCOMES
1. Understand how important problems arising from diverse fields can be modeled by means of operations research;
2. Know main modeling frameworks of operations research and their applications;
3. Know how to use software for modeling and solving operations research problems.
Credits: 5
Schedule: 24.02.2025 - 11.04.2025
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Philine Schiewe
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
In this course, the student will learn how to analyze and formulate problems and how they can be solved. The modeling frameworks discussed in this lecture include linear and discrete optimization. At the end of this course, it is expected that the student will be capable of analysing the main characteristics of a problem, model it using varying paradigms and choosing a suitable solution method.
Assessment Methods and Criteria
valid for whole curriculum period:
Exam.
Workload
valid for whole curriculum period:
Contact hours: 48h (12 x 2h lectures and 12 x 2h exercises). Attendance is not compulsory.
Self study: 83h (home exercises; remainder for revising content of lectures and exercise sessions and for preparing for the exam)
DETAILS
Study Material
valid for whole curriculum period:
Main material: Lecture notes and slides.
Supplementary bibliography: H. A. Taha: Operations Research, An Introduction, Prentice-Hall International
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Spring IV
2025-2026 Spring IV