TIES481 Simulation (5 cr)
Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Faculty of Information Technology
Curriculum periods:
2020-2021, 2021-2022, 2022-2023
Description
Content
The course provides an overview of using simulation experiments as a tool in decision making. The course has three loosely coupled threads:
-Designing discrete event simulation models
--Different paradigms and programming techniques
-Modelling and model based decision making
--Modelling of randomness and Monte Carlo experiments
-- Making inference on the results of stochastic simulation (model validation, hypothesis testing)
-Designing and running simulation experiments
--”real” experiments on ”real” models
Completion methods
Final exam and exercises
Assessment details
Final exam 0-30 points or final exam 0-18 points and exercises 0-20 points.
Learning outcomes
Knows the main concepts of discrete event simulation.
Knows the 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.
Knows the 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.
Additional information
Links
Description of prerequisites
Basics of statistics/probability theory, basic programming skills (object-oriented)
Completion methods
Method 1
Select all marked parts
Parts of the completion methods
x
Teaching (5 cr)
Type:
Participation in teaching
Grading scale:
0-5
Language:
English