TIES481 Simulations (5 cr)
Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Faculty of Information Technology
Curriculum periods:
2017-2018, 2018-2019, 2019-2020
Description
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
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 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
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
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