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Vår 2019

INF-3910-6 Computer Science Seminar: Introduction to Artificial Intelligence and Applied Methods - 10 stp

The course is administrated by

Faculty of Science and Technology

Type of course

The course is open for qualified students as a singular master's-level course. The course is given according to capacity and demand.

Course contents

The seminar deals with state-of-the-art research topics in computer science not covered by regular courses. The seminar content is normally linked to ongoing research activities at the research groups. The seminar will normally have a different content each time it is given. A seminar specific content will be made and preapproved by the programme board every time it is given.

The content of this seminar will be:

The course gives an overview of Artificial Intelligence and Applied Methods. The focus is on several different areas of Artificial Intelligence with AI-problems, and Methods and includes areas such as: Intelligent /Knowledge-based systems, Agent / multi-agent systems, Machine Learning, Artificial Neural Networks, Natural language processing and strategies.

The course addresses classic principles for design and implementation of AI systems and applications and discusses emerging trends from the international research front.

Particularly, the following topics will be addressed:

The focus is on using artificial intelligence techniques to develop systems for different problems.  

Application deadline

Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester. Exchange students and Fulbright students: 15 April for the autumn semester and 1 October for the spring semester.

Admission requirements

Admission requirements: Higher Education Entrance Requirement + Bachelor's degree in Computer Science or similar education. The Bachelor degree must contain a specialization in Computer Science worth the equivalent of not less than 80 ECTS credits.

Application code: 9371 - Singular courses at master's level

Objective of the course

A general educational aim of the seminar will be to:

A more detailed list of learning outcomes on successful completion of the seminar will be made and preapproved by the programme board every time it is given. Detailed learning outcomes for this seminar is:

Knowledge - the student has:

Skills - the student has / can:

General competence - the student has / can:

Language of instruction

The language of instruction is English and all of the syllabus material is in English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.

Teaching methods

To be specified according to 10 ECTS and consist of various combinations of lectures, seminars, colloquium and laboratory work as well as a written report. This course will consist of: 

Lectures: 20 hours, Seminars and Colloquium: 30 hours, Laboratory guidance: 20 hours. 

If applicable, 3 hours seminar at a company.


Assessment methods and course requirements will vary from seminar to seminar. For each seminar it will be chosen an assessment method and course requirements that are academically appropriate. Assessment methods and course requirements for this seminar will be:

The exam consists of the following parts:

To achieve a final grade in the course all exam parts must obtain a passed letter grade. The exam parts are assessed as a whole and one combined grade is given. Assessment scale: Letter grades A-E, F - fail. Approved assignments give access to the exam.

Course requirements: The coursework includes 7 written assignments graded "Approved" / "Not approved".

The assignments are:

Re-sit examination: It will not be given a re-sit examination in in this course.

Postponed examination: Students with valid grounds for absence will be offered a postponed examination for the module in question. If practically possible the examination is arranged during the semester as soon as the reasons for absence have ceased.

Date for examination

Written exam 31.05.2019

The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.

Recommended reading/syllabus

Syllabus and reading list are available in Canvas or by contacting the teacher or the student adviser. 
Lectures Spring 2019
First attendance: Tuesday 15.01.2019, at 14:15 in TEKNO 1.017
Lecture / Seminar prof. Anne Eva Margareta Håkansson