This information sheet indicates how the course will be organized at pandemic code level yellow and green.
If the colour codes change during the academic year to orange or red, modifications are possible, for example to the teaching and evaluation methods.

Advanced performance modelling

Course Code :2001WETAPM
Study domain:Computer Science
Bi-anuall course:Taught in academic years starting in an odd year
Academic year:2020-2021
Semester:2nd semester
Sequentiality:ECTS-credit obtained OR enrolled for Introduction to performance modelling.
Contact hours:45
Study load (hours):168
Contract restrictions: No contract restriction
Language of instruction:English
Exam period:exam in the 2nd semester
Lecturer(s)Benny Van Houdt

3. Course contents *

The following subjects form a central part of this course: phase-type and matrix exponential distributions, Markov arrival processes, Quasi-Birth-Death, M/G/1-type and GI/M/1-type Markov chains (with finite and infinite state spaces), iterative algorithms to solve non-linear matrix equations (e.g., functional iterations, cyclic reduction, logarithmic reduction, Newton iteration, etc.). Software tools are also discussed.