Program Overview

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Course Information

Course Description

The course SF2866 Applied Systems Engineering is a 7.5 credit course.

Information per Course Offering

Termin

The course is offered in the Autumn 2025 term, starting on August 25, 2025, and ending on October 24, 2025.

Course Location

The course is located at KTH Campus.

Duration

The course duration is from August 25, 2025, to October 24, 2025.

Periods

The course is offered during the Autumn 2025 period, specifically during P1 (7.5 hp).

Pace of Study

The pace of study is 50%.

Application Code

The application code for the course is 50555.

Form of Study

The form of study is Normal Daytime.

Language of Instruction

The language of instruction is English.

Course Memo

The course memo is not published.

Number of Places

The number of places is not limited.

Target Group

The course is available for all master's program students as long as it can be included in their program.

Planned Modular Schedule

The planned modular schedule is P1: A1, H1, I1, I2, J2.

Schedule

The schedule can be found through a link to the schedule.

Part of Programme

The course is part of the following programs:

• Master's Programme, Applied and Computational Mathematics, year 2, OPST
• Master's Programme, Applied and Computational Mathematics, year 1, OPST
• Master's Programme, Aerospace Engineering, year 2, SYS
• Master's Programme, Applied and Computational Mathematics, year 1
• Master's Programme, Aerospace Engineering, year 2
• Master's Programme, Applied and Computational Mathematics, year 2

Contact

Examiner

The examiner for the course is Per Enqvist.

Course Coordinator

The course coordinator is Per Enqvist.

Teachers

The teacher for the course is Per Enqvist.

Course Syllabus

The course syllabus is available as a PDF.

Content and Learning Outcomes

Course Contents

The course contents are 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.

Intended Learning Outcomes

To pass the course, the student shall be able to:

• 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

The specific prerequisites for the course are:

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

Literature

Information about course literature can be found in the course memo for the course offering or in the course room in Canvas.

Examination and Completion

Grading Scale

The grading scale for the course is A, B, C, D, E, FX, F.

Examination

The examination consists of:

• 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 the recommendation from KTH's coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disabilities.

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

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

Examiner

The examiner for the course is Per Enqvist.

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 can find further information about the implementation of the course in the course room in Canvas.

Offered by

The course is offered by SCI/Mathematics.

Main Field of Study

The main field of study is Mathematics.

Education Cycle

The education cycle is the second cycle.