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

Additional information

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
Unpublished assessment item