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DD1371 Decision Support Systems 7.5 credits

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Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus DD1371 (Spring 2011–)
Headings with content from the Course syllabus DD1371 (Spring 2011–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The basics  of decision theory,  data mining, neural networks, artificial intelligence, and data warehousing.  

Intended learning outcomes

The students shall after taking this course:

  • be able to describe different kinds of decision support systems and explain their function
  • be able to describe and explain how decision support systems can be used in different kinds of organisations
  • be able to analyse a typical decision situation in the finance marketor estate management, and to apply relevant theory in order to evaluate different alternatives
  • be able to evaluate the impact decision support systems have on organisations and their operation.

Literature and preparations

Specific prerequisites

No information inserted

Literature

The textbook "Business Intelligence -- A managerial approach" by Turban, Sharda, Delen and King (Pearson ISBN 978-0-13-247882-3) broadly covers the material in lectures 5--10.

Lectures 1--4 treat basic decision theory and game theory, and will be covered by handouts which will be downloadable from the course home page. The book "Introduction to Game Theory in Business and Economy" by Webster (M.E. Sharpe, ISBN 978-0-7656-2237-2) is recommended for those interested in a deepended understanding of these topics.

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

Examination

  • LAB1 - laboratory Work, 3.0 credits, grading scale: P, F
  • TEN1 - Examination, 4.5 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.

In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.

Examiner

Profile picture Giampiero Salvi

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

CSC/Computer Science

Main field of study

Technology

Education cycle

First cycle