Master's Programme in Image Analysis and Machine Learning
Outline, TBA2M
- Code
- TBA2M
- Finalised by
- The Faculty Board of Science and Technology, 22 October 2019
- Registration number
- TEKNAT 2019/267
The following designations are used:
G1N - First cycle, has only upper-secondary level entry requirements
G1F - First cycle, has less than 60 credits in first-cycle courses as entry requirements
G2F - First cycle, has at least 60 credits in first-cycle courses as entry requirements
A1N - Second cycle, has only first-cycle courses as entry requirements, at least 120 credits
A1F - Second cycle, has second-cycle courses as entry requirements
A2E - Second cycle, degree project for Master of Arts/Master of Science (120 credits)
Semester 1
Period 1
- Introduction to Image Analysis, 5 of 10 credits (1MD110) Main field(s) of study and in-depth level: Computer Science A1N, Image Analysis and Machine Learning A1N
- Data, Ethics and Law, 5 credits (1DL002) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Human-Computer Interaction A1N, Image Analysis and Machine Learning A1N
Eligible course, 5 credits
- Computer Programming II, 5 credits (1TD722) Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
- Linear Algebra II (for Master's Students), 5 credits (1MA323) Main field(s) of study and in-depth level: Mathematics G1F
- Scientific Computing, Bridging Course, 5 credits (1TD045) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Mathematics A1N
- Human-Computer Interaction, 5 credits (1MD016) Main field(s) of study and in-depth level: Computer Science G1N, Sociotechnical Systems G1N, Technology G1N
- Algorithms and Data Structures I, 5 credits (1DL210) Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
- Database Design I, 5 credits (1DL301) Main field(s) of study and in-depth level: Computer Science G2F, Sociotechnical Systems G2F, Technology G2F
Period 2
- Introduction to Image Analysis, 5 of 10 credits (1MD110) Main field(s) of study and in-depth level: Computer Science A1N, Image Analysis and Machine Learning A1N
- Statistical Machine Learning, 5 credits (1RT700) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Image Analysis and Machine Learning A1N, Mathematics A1N, Technology A1N
Eligible course 5 credits
- Several Variable Calculus, Limited Version (for Master's Students), 5 credits (1MA324) Main field(s) of study and in-depth level: Mathematics G1F
- Optimisation, 5 credits (1TD184) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Data Science A1N, Technology A1N
- Fourier Analysis, 5 credits (1MA211) Main field(s) of study and in-depth level: Mathematics G1F
- Algorithms and Data Structures II, 5 credits (1DL231) Main field(s) of study and in-depth level: Computer Science G2F
- Inference Theory I, 5 credits (1MS035) Main field(s) of study and in-depth level: Mathematics G1F
- Database Design I, 5 credits (1DL301) Main field(s) of study and in-depth level: Computer Science G2F, Sociotechnical Systems G2F, Technology G2F
Semester 2
Period 3
Eligible course 7.5 credits
- Theoretical Foundations for Data Science, 7.5 credits (1MS042) Main field(s) of study and in-depth level: Data Science A1N, Mathematics A1N
- Data Engineering I, 7.5 credits (1TD069) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Data Science A1N, Technology A1N
Specialisation in Medical Image Analysis:
- Digital Imaging Systems, 7.5 credits (1MD130) Main field(s) of study and in-depth level: Computer Science A1F, Image Analysis and Machine Learning A1F
Specialisation in Image Analysis for Life Sciences:
- Digital Imaging Systems, 7.5 credits (1MD130) Main field(s) of study and in-depth level: Computer Science A1F, Image Analysis and Machine Learning A1F
Specialisation in Image Analysis for Digital Humanities:
- Digital Imaging Systems, 7.5 credits (1MD130) Main field(s) of study and in-depth level: Computer Science A1F, Image Analysis and Machine Learning A1F
Specialisation in Visualisation:
- Computer Graphics, 7.5 credits (1MD150) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Image Analysis and Machine Learning A1N
Specialisation in Social Robotics:
- Social Robotics and Human-Robot Interaction, 7.5 credits (1MD300) Main field(s) of study and in-depth level: Computer Science A1N, Human-Computer Interaction A1N, Image Analysis and Machine Learning A1N
Period 4
- Deep Learning for Image Analysis, 7.5 credits (1MD120) Main field(s) of study and in-depth level: Computer Science A1F, Image Analysis and Machine Learning A1F
- Reinforcement Learning, 7.5 credits (1RT747) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Embedded Systems A1N, Image Analysis and Machine Learning A1N
Semester 3
YEAR 2, PRELIMINARY ACADEMIC YEAR 2021/2022
Software Development Project in Image Analysis and Machine Learning, 15 credits
Advanced Probabilistic Machine Learning, 7.5 credits
Specialisation in Medical Image Analysis:
Advanced Image Analysis, 7.5 credits
Specialisation in Image Analysis for Life Sciences:
Advanced Image Analysis, 7.5 credits
Specialisation in Image Analysis for Digital Humanities:
Advanced Image Analysis, 7.5 credits
Specialisation in Visualisation:
Scientific Visualisation, 7.5 credits
Specialisation in Social Robotics:
Intelligent Interactive Systems, 7.5 credits
Semester 4
YEAR 2, PRELIMINARY ACADEMIC YEAR 2021/2022
Degree Project E in Image Analysis and Machine Learning, 30 credits