DV2573 Decision Support Systems

Programme course, 7,5 Higher education credits, Second cycle, spring semester 2022

This course is part of a programme and cannot be applied.


  • Type of instruction: On campus, day, part-time 50%
  • Period : 2022-March-28 until 2022-June-05
  • Education level: A1N
  • Application: This course is part of a programme and cannot be applied.
  • Language of instruction: The language of instruction is English.
  • Location: Karlskrona
  • Main field of study: Computer Science
  • Course syllabus: Download
  • Welcome letter: This course is part of a programme and has no welcome letter.
  • Entry requirements: Admission to the course requires the student to have completed programming 15 credits and databases 7,5 credits.


Learning outcomes

Knowledge and understanding
After course completion, the student should be able to:

  • understand how to methodically develop and use different types of Decision Support Systems.
  • have knowledge of how different types of computer science and mathematical techniques (for example, learning systems, simulation, and optimization) can be used in the context of Decision Support Systems.

Skills and Abilities
After scourse completing the student should be able to:
  • practically design and implement various types of Decision Support Systems.

Judgement and Approach
After course completion, the student should be able to:
  • identify relevant techniques and methods that can be used to build Decision Support Systems for real-world problems, and justify which techniques and methods are the most appropriate for a specific problem.

Course literature and other teaching material

Course literature and other teaching material

Learning methods

Work placement

Practice, project work and guest lectures.


Planned learning activities

Lectures, seminars, exercises, laboratory sessions and excursions.

Time allocation

On average, a student should study 200 hours to reach the learning outcomes.
This time includes all the various available learning activities (lectures, self studies, examinations, etc.).
This estimation is based on the fact that one academic year counts as 60 ECTS credits,
corresponding to an average student workload of 1 600 hours. This may vary individually.


Component examinations for the course
Code Title ECTS credits Grade
1705 Written exam 1 3.5 A-F
1715 Project 4 G-U
  1. 1Determines the final grade for the course, which will only be issued when all components have been approved.


The course will be graded A Excellent, B Very good, C Good, D Satisfactory, E Sufficient, FX Insufficient, supplementation required, F Fail.


More information about exams are found in the Student's Portal, where you also enrolls for most exams.

There might be other scheduled examinations. Information regarding these examinations are available in the learning platform Canvas or at other places that the person who is responsible of the course will refer to.

Course Evaluation

The course manager is responsible for the views of students on the course being systematically and regularly gathered and that the results of the evaluations in various forms affect the form and development of the course.

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