Robot Technology and Signal Processing - Master of Science Degree Programme
Study programme description for study year 2024-2025
Credits (ECTS)
120
Studyprogram code
M-ROBOT
Level
Master's degree (2 years)
Leads to degree
Master i teknologi / sivilingeniør
Full-/Part-time
Full-time
Duration
4 Semesters
Undergraduate
No
Language of instruction
English, Norsk
Learning outcomes
A candidate with a completed and passed two-year master's degree in Robotics and Signal Processing must have the following overall learning outcomes defined in terms of knowledge, skills and general competence.
Knowledge
K1: The candidate has advanced knowledge in cybernetics and signal processing and specialized insight into robotics, automation and machine learning (AI).
K2: The candidate has in-depth knowledge of the field's scientific theory and methods.
Skills
F1: The candidate must be able to evaluate and develop systems and methods for monitoring or automating processes.
F2: The candidate can use relevant methods for research and professional development work in an independent way.
F3: The candidate can analyze and relate critically to various sources of information and use these to structure and formulate academic reasoning within cybernetics and signal processing.
F4: The candidate can carry out an independent, limited research or development project under supervision and in line with current research ethics norms.
General competence
G1: The candidate can analyze relevant professional, professional and research ethical issues.
G2: The candidate can apply his knowledge and skills in new areas to carry out advanced tasks and projects.
G3: The candidate can convey extensive independent work and masters the subject's forms of expression.
G4: The candidate can communicate about professional issues, analyzes and conclusions within the subject area, both with specialists and to the general public.
Study plan and courses
Enrolment year:
-
Compulsory courses
-
ELEMAS: Master Thesis in Robot Technology and Signal Processing
Year 2, semester 3
Master Thesis in Robot Technology and Signal Processing (ELEMAS)
Study points: 30
-
-
Profile selection
-
Profile selection Health Technology
-
Elective courses or Exchange Studies semester 3
-
Courses at UiS 3rd semester
-
Elective courses 3rd semester
-
ELE640: Advanced Signal Processing
Year 2, semester 3
-
ELE670: Medical Images and Signals
Year 2, semester 3
-
ELE680: Deep Neural Networks
Year 2, semester 3
-
ELE690: Project course
Year 2, semester 3
-
-
Other elective course 3. semester (choose one course)
-
IND510: Project Management
Year 2, semester 3
-
IND650: Innovation Management and Entrepreneurship
Year 2, semester 3
-
-
-
Exchange 3rd semester
-
Exchange Studies
-
-
-
-
Profile selection Robotics
-
Elective courses or Exchange Studies semester 3
-
Courses at UiS 3rd semester
-
Recommended elective courses 3rd semester
-
ELE620: Cybernetics
Year 2, semester 3
-
ELE630: Project in robotics
Year 2, semester 3
-
ELE640: Advanced Signal Processing
Year 2, semester 3
-
ELE680: Deep Neural Networks
Year 2, semester 3
-
ELE690: Project course
Year 2, semester 3
-
-
Other elective courses semester 3
-
DAT530: Discrete Simulation and Performance Analysis
Year 2, semester 3
-
DAT540: Introduction to Data Science
Year 2, semester 3
-
-
-
Exchange 3rd semester
-
Exchange Studies
-
-
-
-
-
Compulsory courses
-
ELE500: Signal Processing
Year 1, semester 1
-
ELE510: Image Processing and Computer Vision
Year 1, semester 1
-
STA500: Probability and Statistics 2
Year 1, semester 1
-
ELEMAS: Master Thesis in Robot Technology and Signal Processing
Year 2, semester 3
Master Thesis in Robot Technology and Signal Processing (ELEMAS)
Study points: 30
-
-
Profile selection
-
Profile selection Health Technology
-
Compulsory courses
-
BIO110: Anatomy and Physiology
Year 1, semester 2
-
ELE520: Machine Learning
Year 1, semester 2
-
ELE600: Advanced Control Systems and Robotics
Year 1, semester 2
-
-
Elective courses or Exchange Studies semester 3
-
Courses at UiS 3rd semester
-
Choose one course
-
IND510: Project Management
Year 2, semester 3
-
IND650: Innovation Management and Entrepreneurship
Year 2, semester 3
-
-
Recommended elective courses 3rd semester
-
ELE640: Advanced Signal Processing
Year 2, semester 3
-
ELE670: Medical Images and Signals
Year 2, semester 3
-
ELE680: Deep Neural Networks
Year 2, semester 3
-
ELE690: Project course
Year 2, semester 3
-
-
-
Exchange 3rd semester
-
Exchange Studies
-
-
-
-
Profile selection Robotics
-
Compulsory courses
-
ELE520: Machine Learning
Year 1, semester 2
-
ELE600: Advanced Control Systems and Robotics
Year 1, semester 2
-
ELE610: Applied Robot Technology
Year 1, semester 2
-
-
Elective courses or Exchange Studies semester 3
-
Courses at UiS 3rd semester
-
Choose one course
-
IND510: Project Management
Year 2, semester 3
-
IND650: Innovation Management and Entrepreneurship
Year 2, semester 3
-
-
Recommended elective courses 3rd semester
-
ELE620: Cybernetics
Year 2, semester 3
-
ELE630: Project in robotics
Year 2, semester 3
-
ELE640: Advanced Signal Processing
Year 2, semester 3
-
ELE680: Deep Neural Networks
Year 2, semester 3
-
-
Other elective courses semester 3
-
DAT530: Discrete Simulation and Performance Analysis
Year 2, semester 3
-
DAT540: Introduction to Data Science
Year 2, semester 3
-
ELE690: Project course
Year 2, semester 3
-
-
-
Exchange 3rd semester
-
Exchange Studies
-
-
-
-