Discrete Simulation and Performance Analysis

Facts

Course code

DAT530

Version

Credits (ECTS)

Semester tution start

Autumn

Number of semesters

Exam semester

Autumn

Language of instruction

English

Offered by

Faculty of Science and Technology,

Department of Electrical Engineering and Computer Science

Time table

View course schedule

Content

NB! This is an elective course and may be cancelled if fewer than 10 students are enrolled by August 20th.

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

After completing the course, the student shall:

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

Required prerequisite knowledge

None

Exam

Written exam and assignment(s)

Form of assessment	Weight	Duration	Marks	Aid
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

The course has a continous assessment.Project counts 60% of total grade. The project can be done individually or in groups of 2-3 students.If a student fails to deliver the project on time, then the student will be awarded a fail mark. If valid documentation is provided (e.g., medical certificate), then extended time can be given to complete the project.If a student fails the project, the student may take a new project with a new title the next time the course goes as usual. However, under exceptional circumstances, the course coordinator may allow the student to start a new project in the following semester (no need to wait for the next course start).Written exam counts 40 % of total grade. Exam with pen and paper.Both project and exam must be passed to get a final grade in the course.

Course teacher(s)

Course teacher:

Reggie Davidrajuh

Head of Department:

Tom Ryen

Method of work

4 hours lectures and 2 hours exercises.

Overlapping courses

Course	Reduction (SP)
Discrete Simulation and Performance Analysis (MID280_1)	10

Open for

Computer Science - Master of Science Degree Programme

Exchange programme at Faculty of Science and Technology

Admission requirements

Must meet the admission requirements of one of the study programmes the course is open for.

Course assessment

The faculty decides whether early dialogue should be conducted in all or selected groups of courses offered by the faculty. The purpose is to gather feedback from students for making changes and adjustments to the course during the current semester. In addition, a digital evaluation, students’ course evaluation, must be conducted at least once every three years. Its purpose is to collect students` experiences with the course.

Literature

The syllabus can be found in Leganto

Discrete Simulation and Performance Analysis (DAT530)