SMAT5301 Simulation (5 cr)
Cooperation network course
Network: Cross-institutional studies in advanced courses in mathematics and statistics
This course is offered through the Network for Advanced Studies in Mathematics. These studies are available for the following degree students:
- Bachelor's Degree Programme in Mathematics
- Master's Degree Programme in Mathematics
- Bachelor's Degree Programme in Mathematics (Subject Teacher)
- Master's Degree Programme in Mathematics (Subject Teacher)
- Bachelor's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)
- Master's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)
- Doctoral Programme in Mathematics and Statistics
- Doctoral Programme in Mathematics and Science (Specialication in Mathematics)
Grading scale:
0-5
Description
This course brings together various principles and techniques used in simulation. It will cover basics from simulation methodology, including questions on experimental design and data analysis.
Different real life applications across a large range of manufacturing and service industries will be pointed and scrutinized. The special focus will be given to discrete event simulation and comparison simulation versus optimization techniques.
Learning outcomes
See contents
Additional information
Course will be given every other spring (in odd years).
Description of prerequisites
Basics of Optimization and Probability Theories