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Høst 2022

STA-2001 Stochastic Processes - 10 stp

The course is administrated by

Institutt for matematikk og statistikk

Type of course

The course is mandatory in the study programs Applied Physics and Mathematics - master (5-years) and Mathematical Sciences - Bachelor. It may also be taken independent of study program. This course is also available for inbound exchange students

Course overlap

S-210 Stocastic processes 10 stp

Course contents

This course builds on STA-1001 Probability and statistics. The course is a continuation of the probability theory presented in STA-1001 with an emphasis on construction, interpretation and analysis of probability models for simple processes or dynamic systems. Discusses conditional probability, conditional expectations, Markov chains, Poisson processes, branching processes, birth and death processes and other stochastic processes. 

Application deadline

Applicants form Nordic countries: 1 June for the autumn semester and 1 Decemer for the spring semester. Exchange students and Fulbright students: 1 October for the spring semester and 15 April for the autumn semester.

Admission requirements

Applicants from Nordic countries: Generell studiekompetanse og følgende spesielle opptakskrav: Matematikk R1 + R2 og i tillegg enten:

International applicants: Higher Education Entrance Qualification and certified language requirements in English. It is a requirement that students have  some prior knowledge of biology and ecology, chemistry and mathematics (Participants must have taken introductory level university courses, and achieved pass grades, in these subjects).

A list of the requirements for the Higher Education Entrance Qualification in Norway can be found on the Norwegian Agency for Quality Assurance in Education website -

Application code: 9336 (Nordic applicants).

Objective of the course

This course gives students an introduction to applied probability theory and stochastic processes, including use of conditioning as an important tool for probability computations.  Within stochastic processes, primary emphasis is placed upon the analysis of models with countable state space in discrete or continuous time.  Of special importance is that students have a command of different types of Markov processes, including Poisson processes and birth and death processes.

The student shall:

Language of instruction

The language of instruction and the syllabus is English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.

Teaching methods

Lectures: 40 h Coursework: 30 h

Date for examination

School exam 08.12.2022

The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.