Master's Thesis - part 2 (10 cr)
Code: INS24MT02-3001
General information
Enrollment
15.06.2025 - 31.12.2025
Timing
08.09.2025 - 31.07.2026
Number of ECTS credits allocated
10 cr
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Teaching languages
- English
Degree programmes
- Degree Programme in Intelligent Systems
Teachers
- Jan Berglund
- Joachim Böling
- Ray Pörn
Teacher in charge
Ray Pörn
Groups
-
IS24H-VIntelligent Systems, 2024, part-time studies
Objective
During the second stage the thesis process continues by gathering information and combining the theoretical framework and empirical work/data collection.
The student
- is able to critically evaluate the used sources and methods
- can select applicable sources and uses them systematically
- is able to use the methods chosen and theory required for the project
- is able to discuss work in progress
Content
Master's thesis work - part 2
Evaluation scale
Approved/Rejected
Qualifications
Master's thesis - part 1