Course syllabus

Tillämpad artificiell intelligens
Applied Artificial Intelligence

EDAF70, 7,5 credits, G2 (First Cycle)

Valid for: 2018/19
Decided by: PLED C/D
Date of Decision: 2018-04-03

General Information

Elective for: BME4, C4-pv, D4-pv, E4-bg, F4, Pi4
Language of instruction: The course will be given in English


To give an introduction to several subdomains of artificial intelligence and to give an orientation about fundamental methods within these domains. To convey knowledge about breath and depth of the domain.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must


Intelligent agents. Heuristic search. Game programming. Knowledge based systems. Machine learning. Natural language. Semantic Web. Autonomous robots. Planning.

Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: The final grade of the course is based on the result of the written examination.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Code: 0117. Name: Written Examination.
Credits: 4,5. Grading scale: TH. Assessment: Written examination.
Code: 0217. Name: Assignments.
Credits: 3. Grading scale: UG. Assessment: To pass the course all the compulsory assignments must be approved. Details regarding the compulsory assignments will be found in the course program (syllabus) at the course web site. Contents: Assignments related to some of the treated subdomains are implemented to give practical experience of difficulties such as computational complexity, scalability and result interpretation.


Admission requirements:

Required prior knowledge: FMAA01/FMAA05, FMA420/FMAB20 and FMA430/FMAB30.
The number of participants is limited to: No
The course overlaps following course/s: EDA132

Reading list

Contact and other information

Course coordinator: Professor Jacek Malec,
Teacher: Professor Pierre Nugues,
Teacher: Elin Anna Topp,
Course homepage:
Further information: Detailed rules concerning the assignments will be found in the course web site.