Course syllabus - Intelligent Systems

Objectives

This course aims to offer a foundation of intelligent system techniques and their application in various real-world domains and how to implement a system with "intelligent" functionality. Students will learn to judge when intelligent functionality and artificial intelligence may be a good solution for a problem and be able to choose suitable AI methods and techniques. Students will also acquire knowledge enabling them to develop necessary skills to design and implement an intelligent system.

Learning outcomes

After finishing this course the student should be able to:

1. describe in detail the class of problems that a specific type of artificial intelligence technique and/or algorithm is
suitable to address,
2. show the ability to design and implement a prototype in artificial intelligence, furthermore, propose further
improvements and
3. show the ability to present a solution both orally and in written form in a short and concise report capturing implementation, results, and conclusions from the project.

Course content

Intelligent agents, fuzzy control, fuzzy adaptive control, multi-sensor data and information fusion, decision analysis with uncertainty, support vector machines, generative artificial intelligence and language models.

Tuition

Specific requirements

90 credits completed courses in computer science and/or electronics including 15 credits in programming. In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.

Examination

Seminar (SEM1), 1 credit, examines the learning outcome 3, marks Fail (U) or Pass (G). 
Project (PRO1), 6,5 credits, examines the learning outcomes 1-3, marks Fail (U), 3, 4 or 5.

A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.

Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.

Grade

Pass with distinction, Pass with credit, Pass, Fail

Interim Regulations and Other Regulations

The course completely overlaps with DVA406/DVA439 Intelligent systems 7.5 credits.