Course

Discrete Simulation and Performance Analysis (DAT530)


Course description for study year 2012-2013. Please note that changes may occur.

Semesters

Facts

Course code

DAT530

Credits (ECTS)

10

Semester tution start

Autumn

Language of instruction

English

Number of semesters

1

Exam semester

Autumn

Content

Introduction to quantitative methods for construction, dimensioning, and analysis of distributed systems; performance analysis for systems development and maintenance; basic concepts, measurement techniques, and tools for performance analysis; Petri net theory; discrete event based models with GPenSIM; applied statistical techniques (like factor analysis, ANOVA, hypothesis testing) for filtering and analysis of data.

Learning outcome

Understand what performance evaluation and simulation means when many computers are connected in a systemMake models of realistic systems and run simulations on the models. Apply Petri nets for advanced mathematical modeling of discrete event systemsUse Applied Statistical techniques for filtering and analysis of data.

Required prerequisite knowledge

None

Exam

Form of assessment Weight Duration Marks Aid Exam system Withdrawal deadline Exam date
Written exam 40/100 4 Hours Letter grades No printed or written materials are allowed. Approved basic calculator allowed
Project work 60/100 Letter grades All


Course teacher(s)

Head of Department:

Tom Ryen

Course coordinator:

Reggie Davidrajuh

Method of work

4 hours lectures and 2 hours exercises.

Lecture language is English.

Open for

Master studies at the Faculty of Science and Technology

PhD studies at the Faculty of Science and Technology

Course assessment

Form and/or discussion.

Literature

Hruz,B. and Zhou,M.C. (2007) Modeling and Control of Discrete-event Dynamic Systems. Springer Verlag.
The course description is retrieved from FS (Felles studentsystem). Version 1