Stochastic Modelling
5 credits
Syllabus, Bachelor's level, 1MS007
This course has been discontinued.
A revised version of the syllabus is available.
- Code
- 1MS007
- Education cycle
- First cycle
- Main field(s) of study and in-depth level
- Mathematics G1F, Sociotechnical Systems G1F
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 6 May 2013
- Responsible department
- Department of Mathematics
Entry requirements
Probability and Statistics
Learning outcomes
In order to pass the course (grade 3) the student should
Content
Stochastic processes, the Poisson process, life length models. Stochastic simulation. Markov chains in discrete and continuous time. Stationary and asymptotic distribution. Absorption probability, absorption time. Selected examples of applications of stochastic modelling, depending on study programme.
Instruction
Lectures, problem solving sessions and computer simulations.
Assessment
Written examination at the end of the course combined with assignments given during the course.