AIAS5001 Master Thesis Seminar for IMDP AI students (3 cr)
Study level:
Advanced studies
Grading scale:
Pass - fail
Language:
English
Responsible organisation:
Faculty of Information Technology
Curriculum periods:
2024-2025, 2025-2026, 2026-2027, 2027-2028
Description
It is final stage of Master studies for Information Technology students; the main components of the course are: selection of the topic (prior to the seminar must be agreed with the Thesis supervisor and approved by the Head of the study programme), search and analysis of the literature, selection of the research methods, development of the research plan, design and implementation of the empirical part of the Thesis, presentations for each component.
Learning outcomes
Road-map, framework, knowledge and skills necessary for completing the Master Thesis.
Description of prerequisites
Bachelor degree; up-to-date individual study plan which will enable the student to graduate within one year of starting the Master Thesis. Also the student should have the topic for the Thesis and a supervisor, at least preliminary contemplated.
For IMDP COIN and IMDP AI students the Cognitive Service Development Project is also pre-required.
Study materials
Study materials will be presented at each seminar session
Completion methods
Method 1
Description:
Closely follow the seminar schedule
Evaluation criteria:
Active participation in all seminar sessions, completed weekly home works, final presentation
Select all marked parts
Parts of the completion methods
x
Participation in teaching (3 cr)
Type:
Participation in teaching
Grading scale:
Pass - fail
Language:
English