LEARNING OUTCOMES
- Understand how several important problems arising from diverse fields can be cast and solved as optimisation problems;
- Know the main techniques for solving optimisation problems and how to apply them in practice;
- Know how to use optimisation software for implementing and solving optimisation problems.
Credits: 5
Schedule: 27.02.2023 - 17.04.2023
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 the basic optimisation theory, how to formulate problems and how they can be solved. Linear, integer, and nonlinear optimisation will be covered in the course. At the end of this course, it is expected that the student will be capable of analysing the main characteristics of an optimisation problem and decide what is the most suitable method to be employed for its solution.
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 (5 home exercises - 4h each; remainder for revising content of lectures and exercise sessions and for preparing for the exam)
DETAILS
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 : 2022-2023 Spring IV
2023-2024 Spring IV