TIES481 Simulations (5 cr)
Learning outcomes
Knows main concepts of discrete event simulation
Knows main simulation paradigms and their implementation strategies
Can implement simple simulation models
Manages systematic generation of pseudo random numbers
Can analyze simulation experiments and their reliability
Can design goal driven simulation experiments
Study methods
Final exam and exercises
Content
The course has three loosely coupled threads:
-Designing discrete event simulation models
--Different paradigms and programming techniques
-Modelling and model based decision making
--Using modelling of randomness and Monte Carlo + hypothesis testing as sample cases
-Designing and running simulation experiments
--”real” experiments on ”real” models
Assessment criteria
Final exam 0-30 points or final exam 0-18 points and exercises 0-20 points.
Prerequisites
Basics of statistics/probability theory, basic programming skills (object-oriented)