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 will 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 write a scientific report in artificial intelligence, which fulfills the requirements for a good
reporting culture, as well as a scientific perspective.

Course content

Intelligent agents, fuzzy control, fuzzy adaptive control, multi-sensor data and information fusion, decision analysis with
uncertainty, case-based reasoning, signal analysis and multi-objective optimization.

Tuition

Lectures and project supervision.
 

Specific requirements

At least 90 ECTS credits in computer science and/or electronics where at least 15 credits in programming are included. 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

Project (PRO1), 3,5 credits, marks Fail (U), 3, 4 or 5, (examines learning objectives 1-3)
Examination (TEN1), written examination, 4 credits, marks Fail (U), 3, 4 or 5, (examines learning objectives 1-2)

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

Grading scale: 5, 4, 3

Interim Regulations and Other Regulations

The course completely overlaps with DVA406 Intelligent systems 7,5 credits.