Skip to main content
Till KTH:s startsida Till KTH:s startsida

SF2868 Systems Engineering, Business and Management, Part 1 7.5 credits

Choose semester and course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.


For course offering

Autumn 2024 Start 26 Aug 2024 programme students

Application code


Headings with content from the Course syllabus SF2868 (Spring 2022–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course contents will mainly be based on the following areas:

  • Queueing models based on Markov processes, including models for queueing networks.
  • Models for inventory optimization, deterministic as well as stochastic.
  • Scheduling methods for production systems and transport systems, and route planning.

Variations may occur depending on the projects selected for the current course offering.

Intended learning outcomes

To pass the course, the student shall be ableto:

  • Apply basic theory, concepts and methods within the parts of systems engineering that is described in the course contents to solve problems.
  • Organize and collaborate in groups on projects provided by the industry or research centers, and present and explain results orally and in writing.
  • Formulate mathematical models for a system, or a process, focus the scope of the model to the research questions posed in the projects, and to validate, analyze and optimize these.
  • Discuss and motivate choices made on priority of aspects such as cost efficiency and sustainability.
  • Read and understand mathematical writings on, for example, linear algebra, analysis and systems engineering, and their applications, communicate mathematical reasoning and computations within this area orally and in writing in such a way that it is easy to follow.

To receive the higher grades, the student shall in addition be able to:

  • Explain, combine and analyze theory, concepts and methods within the parts of systems engineering that is described in the course contents and by the selected projects.
  • Make well motivated model assumptions, select suitable case studies, validate and evaluate reliability, sensitivity, implementability and consequences of results in the projects.

Literature and preparations

Specific prerequisites

  • English B/English 6
  • Completed course in Optimization(SF1811, SF1861 or equivalent)
  • Completed course in Systems Engineering (SF2863 or equivalent)

Recommended prerequisites

No information inserted


No information inserted


Depending on the focused topics a selection of relevant sections in Hillier and Lieberman's "Introduction to operations research" , A. Ravi Ravindran's "Operations research and Management Science handbook", and handed out material from the department will be used.

Examination and completion

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

Grading scale

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


  • PRO1 - Project Assignments, 4.0 credits, grading scale: A, B, C, D, E, FX, F
  • TEN1 - Written Examination, 3.5 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.

Offered by

Main field of study

Industrial Management, Mathematics

Education cycle

Second cycle

Add-on studies

No information inserted


Per Enqvist (