M.Sc. (Tech.) 1
|Teacher(s) in Charge
Associate Professor, D.Sc. (Tech.) Virpi Junttila
Post-Doctoral Researcher, Ph.D. Jyrki Savolainen
The course gives an introduction to the concepts of discrete and continuous simulation
models and methods together with numerical examples. After the course, the student is able
to create and use different simulation models to solve practical problems. Among the
discrete-event based models, the student is able to model basic queuing, server, scheduling
and storage size problems. Also, the student is able to create basic operations and model
dynamic systems with Simulink and use Simulink to solve different simulation problems.
Basic concepts of discrete and continuous systems. Model-based design, basic modeling
work-flow, basic simulation work-flow, running the simulations and interpreting the results.
Random numbers, discrete event generation by random numbers. Statistical and empirical
distributions for event generation. Building numerical simulation examples with Matlab and
Simulink. Modeling dynamics systems and simulation models for dynamic systems with
Application examples: queuing systems, storage size optimization, profitability analysis,
supply chain management, investment analysis.
Lectures 21 h, exercises 14 h, homework 21 h, 2nd period. Lectures 21 h, exercises 14 h,
homework 21 h, 3rd period. Practical assignment 22 h, preparation for examination and the
examination 22 h, 2nd-3rd period. Total 156 h.
|Suitability for doctoral studies (Yes/Leave empty)
|Examination in Examination schedule (Yes/No)
|Examination in Moodle (Yes/No)
|Examination in Exam (Yes/No)
|Assessment scale and assessment methods
0-5, examination 80 %, homework and practical assignment 20 %.
Course material is given in the course homepage.
Recommended BM20A1401 Tilastomatematiikka I and BM20A5001 Principles of Technical Computing.
|Places for exchange-students? (Yes, number/No)
|Places for Open University Students?(Yes, number/No)