• Svenska

# SF1904 Markov Processes, Basic Course 3.0 credits

This is an addition to a basic course in statistics and probability theory like SF1901 so that a student when completing this course have fulfilled the goals similar to the ones in SF1906.

The overall purpose of the course is that the student should be well acquainted with basic concepts, theory, models and solution methods for Markov processes with discrete state spaces, i.e., Markov chains.

### For course offering

Spring 2025 Start 17 Mar 2025 programme students

### Target group

No information inserted

P4 (3.0 hp)

17 Mar 2025
2 Jun 2025

17%

Normal Daytime

Swedish

KTH Campus

### Number of places

Places are not limited

## Application

### For course offering

Spring 2025 Start 17 Mar 2025 programme students

60407

## Contact

### For course offering

Spring 2025 Start 17 Mar 2025 programme students

### Contact

Martina Scolamiero (scola@kth.se)

### Examiner

No information inserted

### Course coordinator

No information inserted

### Teachers

No information inserted
Headings with content from the Course syllabus SF1904 (Autumn 2020–) are denoted with an asterisk ( )

## Content and learning outcomes

### Course contents

Markov processes with discrete state spaces. Absorption, stationarity and ergodicity of Markov chains. Properties of birth and death processes in general and Poisson process in particular. Standard queueing models M/M/1 and M/M/c and queueing theory.

### Intended learning outcomes

In order to pass the course the student shall be able to:

• solve problems which require the knowledge of basic notions and methods of the theory of Markov processes in discrete time.
• solve problems which require the knowledge of basic notions and methods of the theory of Markov processes in continuous time.

In order to receive higher grades the student shall be able to:

• combine the notions and methods listed above for solving more complex problems.

## Literature and preparations

### Specific prerequisites

• Completed basic course in linear algebra (SF1624, SF1672, SF1675, SF1684 or equivalent)
• Completed basic course in Probability Theory and Statistics (SF1915, SF1918 or equivalent).

### Recommended prerequisites

No information inserted

### Equipment

No information inserted

### Literature

No information inserted

## Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

A, B, C, D, E, FX, F

### Examination

• TENA - Examination, 3.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

### Opportunity to complete the requirements via supplementary examination

No information inserted

### Opportunity to raise an approved grade via renewed examination

No information inserted

### Ethical approach

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

## Further information

### Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

### Main field of study

Mathematics, Technology

First cycle