Course ObjectiveA practical introduction to the different aspects of simulation. After
this course the student:
- knows in which situations simulation can be used
- can implement simple (Monte Carlo) simulations in Excel and R
- is familiar with the tools to run discrete-event simulations
- can program discrete-event simulations in an appropriate language
- knows how to interpret (statistically) the results
- understands how simulation can be used in an optimization framework
Course ContentDuring this course we study the different aspects of Monte Carlo
simulation and discrete-event simulation in a coherent way. Subjects
treated are: Modeling of business problems, statistical outcome
analysis, simulation optimisation, software tooling, programming of
simulations in Java.
Teaching MethodsLectures and Practical sessions
Method of AssessmentIndividual assignments. Details can be found in the course manual.
LiteratureThe literature consists of the course slides
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||prof. dr. G.M. Koole|
|Examiner||prof. dr. G.M. Koole|
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Seminar, Lecture|
This course is also available as: