Year 1

Programme overview for year 2025/2026

The programme overview is adopted 2025-02-20 by Dean of Education.

Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
FFR105 Stochastic optimization algorithms	Examination 7.5 credits		E	Wed 29/10-2025 am J	Mon 05/01-2026 am J Thu 27/08-2026 am J
FFR135 Artificial neural networks	Examination 7.5 credits		E	Mon 27/10-2025 am J	Wed 07/01-2026 pm J Thu 20/08-2026 pm J

Course code and name	Module, credits/period	Note	Examination	Re-examination (okt 2025 - aug 2026)
EEN100 Statistics and machine learning in high dimensions	Oral examination 6 credits	1), 2)
EEN100 Statistics and machine learning in high dimensions	Project 1.5 credits	S, 1), 2)
KMG060 Systems biology	Examination 7.5 credits	S, 1), 2)	Tue 28/10-2025 am J	Thu 08/01-2026 pm J Wed 26/08-2026 pm J
RRY025 Image processing	Examination 7.5 credits	E, 1), 2)	Thu 30/10-2025 pm J	Wed 07/01-2026 pm J Fri 21/08-2026 pm J
TIF160 Humanoid robotics	Project 7.5 credits	E, 1), 2)
TIF295 Experimental methods in modern physics	Project 3 credits	E, 1), 2)
TIF430 Quantum mechanics	Oral examination 4.5 credits	E, 1), 2)
TIN093 Algorithms	Examination 7.5 credits	E, 1), 2)	Sat 25/10-2025 pm J	Thu 27/08-2026 pm J
TMA882 High performance computing	Examination 7.5 credits	E, 1), 2)
TMA947 Nonlinear optimisation	Laboratory 1.5 credits	1), 2)
TMA947 Nonlinear optimisation	Examination 6 credits	S, 1), 2)
TMS165 Stochastic calculus	Examination 7.5 credits	E, 1), 2)

Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
FFR120 Simulation of complex systems	Project 7.5 credits		E
TIF155 Dynamical systems	Examination 7.5 credits		E	Thu 15/01-2026 am J	Thu 09/04-2026 am J Wed 19/08-2026 am J

Course code and name	Module, credits/period	Note	Examination	Re-examination (okt 2025 - aug 2026)
ENM140 Game theory and rationality	Project 7.5 credits	E, 1), 2)
FKA122 Computational physics	Project 7.5 credits	E, 1), 2)
MTF073 Computational fluid dynamics: The finite volume method (CFD)	Written and oral assignments (part A) 1.5 credits	1), 2)
MTF073 Computational fluid dynamics: The finite volume method (CFD)	Written and oral assignments (part B) 1.5 credits	1), 2)
MTF073 Computational fluid dynamics: The finite volume method (CFD)	Written and oral assignments (part C) 1.5 credits	1), 2)
MTF073 Computational fluid dynamics: The finite volume method (CFD)	Examination 3 credits	S, 1), 2)	Fri 16/01-2026 am J	Fri 10/04-2026 pm J Mon 17/08-2026 pm J
MVE095 Options and mathematics	Examination 7.5 credits	E, 1), 2)
TDA251 Algorithms, advanced course	Project 7.5 credits	E, 1), 2)
TDA507 Computational methods in bioinformatics	Written and oral assignments 7.5 credits	E, 1), 2)
TIF181 Science, innovation and entrepreneurship	Project 7.5 credits	E, 1), 2)

Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2025 - aug 2026)
FFR110 Computational biology	Examination 7.5 credits		E

Course code and name	Module, credits/period	Note
DAT675 Artificial intelligence for molecules	Written and oral assignments 3 credits
DAT675 Artificial intelligence for molecules	Project 4.5 credits	S
MVE155 Statistical inference	Examination 7.5 credits	E, 1)
MVE220 Financial risk	Examination 7.5 credits	E
TDA206 Discrete optimization	Examination 7.5 credits	E
TDA233 Algorithms for machine learning and inference	Written and oral assignments 3 credits
TDA233 Algorithms for machine learning and inference	Examination 4.5 credits	S
TIF150 Information theory for complex systems	Examination 7.5 credits	E, 1)
TIF320 Computational materials and molecular physics	Project 7.5 credits	E, 1)
TMA285 Financial derivatives and partial differential equations	Examination 7.5 credits	E, 1)
TME286 Interpretable artificial intelligence	Project 7.5 credits	E, 1)

Course code and name	Module, credits/period	Note	Re-examination (okt 2025 - aug 2026)
MTF271 Turbulence modeling	Written and oral assignments (part A) 1.5 credits	1)
MTF271 Turbulence modeling	Written and oral assignments (part B) 1.5 credits	1)
MTF271 Turbulence modeling	Examination 4.5 credits	S, 1)	Contact examiner
MVE166 Linear and integer optimization with applications	Examination (part A) 6 credits	1)
MVE166 Linear and integer optimization with applications	Project (part B) 1.5 credits	S, 1)
MVE441 Statistical learning for big data	Project 1.5 credits	1)
MVE441 Statistical learning for big data	Take-home examination 6 credits	S, 1)
TIF106 Non-equilibrium processes in physics, chemistry and biology	Examination 7.5 credits	E, 1)	Fri 10/10-2025 am J
TIF360 Advanced machine learning with neural networks	Project 7.5 credits	E, 1)
TME290 Autonomous robots	Examination 7.5 credits	E, 1)	Contact examiner
TMS016 Spatial statistics and image analysis	Examination 7.5 credits	S, 1)
TMS088 Financial time series	Examination 7.5 credits	E, 1)

1 Compulsory elective: - (EEN100, ENM140, FKA122, KMG060, MTF073, MTF271, MVE095, MVE155, MVE166, MVE441, RRY025, TDA251, TDA507, TIF106, TIF150, TIF160, TIF181, TIF295, TIF320, TIF360, TIF430, TIN093, TMA285, TMA882, TMA947, TME286, TME290, TMS016, TMS088, TMS165) 22.5 credits of stated courses are required for the degree
2 Recommendation: The course is normally followed during the second year of the Masters programme (EEN100, ENM140, FKA122, KMG060, MTF073, MVE095, RRY025, TDA251, TDA507, TIF160, TIF181, TIF295, TIF430, TIN093, TMA882, TMA947, TMS165)
DIG: Digital examination is an examination written in the Inspera system. The student will bring their own computer and access the exam via Safe exam browser.
E: The only module in the course. Module grade and grade for the course are reported at the same time.
S: Final grade. All module grades are reported before the final grade for the course can be reported.