Prerequisite/Recommended prerequisite for participation in the module

The module adds to knowledge obtained during the 1st - 2nd semester of the Master's Programme in Computer Science or Software

Content, progress and pedagogy of the module

Learning objectives

Knowledge

The student should achieve in-depth insight into key issues in contemporary research in machine intelligence

Skills

Based on a scientific article in the course's central themes, the student should be able to:

• give a clear and understandable presentation of the article's key elements, including its premises, issue(s), theory, methods, results and conclusions
• explain relevant theories, methods and arguments presented in the article

Competences

Based on a scientific article in the course's central themes, the student should be able to:

• relate the theories, methods and results presented in the article to the course topics
• assess the proposed solutions, results and/or conclusions of the article as well as assess their qualities and practicality and put them into perspective

Type of instruction

The type of instruction is organised in accordance with the general instruction methods of the programme, cf. § 17.

Extent and expected workload

It is expected that the student uses 30 hours per ECTS, which for this activity means 150 hours

Exam

Exams

Name of exam	Specialisation Course in Machine Intelligence
Type of exam	Oral exam Individual oral exam of 45-minutes. The examiner is given a task which is handed out 7 days prior to the examination
ECTS	5
Assessment	7-point grading scale
Type of grading	External examination
Criteria of assessment	The criteria of assessment are stated in the Examination Policies and Procedures

Additional information

Contact: The Study board for Computer Science at cs-sn@cs.aau.dk or 9940 8854