Course syllabus - Applied Artificial Intelligence

Objectives

This course has the purpose to give the students knowledge in how to use artificial intelligence to build computer programs or systems that have more "intelligent" behaviour. The course gives knowledge on how do develop systems and products that have an intelligent behaviour, learn by mistakes, improve its own functionality, solve tasks not thought of by the programmer during design.

Learning outcomes

After completing the course, the student should be able to:
- identify a problem suitable for an artificial intelligence solution.
- from a given problem formulate a solution that contains AI and reflect over alternative solutions.
- from a given problem select and implement an AI algorithm/system.
- present a solution both in written form in a short and concise report capturing implementation, results and conclusions from the project.

Course content

The course deals with all aspects from problem formulation to implementation of a intelligent system including methods and techniques from artificial intelligence:
- problem formulation
- identification solutions based on artificial intelligence (AI)
- knowledge about a number of projects that use AI
- ability and knowledge on how a decision system/ case based reasoning system is implemented
- how to explain and describe an "intelligent" AI based system

Specific requirements

At least 120 ECTS credits, including knowledge of a high-level programming language, knowledge of system development/system design, understanding of several AI methods, at least one of them in more details, and knowledge how AI can be integrated in existing systems. This can be achieved through completion of the course Artificial Intelligence 7.5 credits on level G2F, or Learning Systems 7.5 credits on Advanced level, or equivalent. 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

Written assignment (INL1), 4 credits, marks Fail (U) or Pass (G).
Seminar (SEM1), 1 credit, marks Fail (U) or Pass (G).
Seminar (SEM2), 1 credit, marks Fail (U) or Pass (G).
Seminar (SEM3), 1 credit, marks Fail (U) or Pass (G).
Project (PRO1), 8 credits, 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 CDT406 Applied Artificial Intelligence.