The programme overview is adopted 2019-02-21 by Dean of Education.

• AUTUMN TERM

  • Study period 1

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2020 - aug 2021)
      FFR105 Stochastic optimization algorithms	Examination 7.5 credits	D	E	Wed 28/10-2020 pm J	Mon 04/01-2021 am J Thu 26/08-2021 am J
      FFR135 Artificial neural networks	Examination 7.5 credits	B+	E	Mon 26/10-2020 am L	Tue 05/01-2021 pm J Thu 19/08-2021 pm J
      MVE187 Computational methods for Bayesian statistics	Project 2 credits
      MVE187 Computational methods for Bayesian statistics	Examination 5.5 credits		S	Thu 29/10-2020 am J	Tue 05/01-2021 am J Thu 26/08-2021 am J
      RRY025 Image processing	Examination 7.5 credits	C+	E	Thu 29/10-2020 pm J	Tue 05/01-2021 pm J Fri 20/08-2021 pm J
      TEK650 Strategic management of technological innovation	Examination 7.5 credits	D	S	Thu 29/10-2020 pm J	Thu 07/01-2021 pm L Wed 18/08-2021 am J
      TIN093 Algorithms	Examination 7.5 credits	A	E	Sat 24/10-2020 pm L	Tue 05/01-2021 am J Thu 26/08-2021 pm J
      TMA265 Numerical linear algebra	Examination 7.5 credits		E	Tue 27/10-2020 pm J	Thu 07/01-2021 pm J Contact examiner
      TMA881 High performance computing	Examination 7.5 credits		E	Contact examiner	Contact examiner Contact examiner

  • Study period 2

    • Elective courses

      Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2020 - aug 2021)
      DAT246 Empirical software engineering	Written and oral assignments 2.5 credits
      DAT246 Empirical software engineering	Examination 5 credits		S	Mon 11/01-2021 pm L	Thu 08/04-2021 am L Tue 24/08-2021 pm L
      DAT450 Machine learning for natural language processing	Written and oral assignments 7.5 credits	A	S
      EEN020 Computer vision	Project 3 credits	C
      EEN020 Computer vision	Written and oral assignments 4.5 credits	C	S
      MVE172 Basic stochastic processes and financial applications	Laboratory 3 credits
      MVE172 Basic stochastic processes and financial applications	Examination 4.5 credits		S	Sat 05/12-2020 am J	Wed 07/04-2021 am J Tue 24/08-2021 pm J
      MVE190 Linear statistical models	Examination 7.5 credits		E	Tue 12/01-2021 pm J	Thu 08/04-2021 pm J Thu 19/08-2021 pm J
      SSY130 Applied signal processing	Examination 7.5 credits	D	S	Wed 13/01-2021 pm J	Wed 07/04-2021 pm J Tue 24/08-2021 pm J
      TDA251 Algorithms, advanced course	Project 7.5 credits	C	E
      TDA357 Databases	Examination 4.5 credits	D+		Wed 13/01-2021 pm J	Fri 19/03-2021 am J Thu 26/08-2021 pm J
      TDA357 Databases	Laboratory 3 credits	D+	S
      TDA507 Computational methods in bioinformatics	Written and oral assignments 7.5 credits	A	E
      TDA596 Distributed systems	Examination 6 credits	C		Tue 12/01-2021 am J	Thu 08/04-2021 pm J Wed 18/08-2021 am J
      TDA596 Distributed systems	Laboratory 1.5 credits	C	S
      TEK655 Creating technology-based ventures	Project 6 credits
      TEK655 Creating technology-based ventures	Examination 1.5 credits		S	Tue 12/01-2021 am J	Wed 07/04-2021 am J Tue 17/08-2021 pm L
      TMA521 Large scale optimization	Examination 7.5 credits		E	Fri 15/01-2021 pm J	Thu 08/04-2021 am J Tue 24/08-2021 pm J

• Diploma thesis

  Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2020 - aug 2021)
  DATX60 Master's thesis in Computer science and engineering	Diploma thesis (part A) 30 credits		*
  MVEX60 Master's thesis in Mathematics	Diploma thesis (part A) 30 credits		*
  DATX05 Master's thesis in Computer science and engineering	Diploma thesis 30 credits		*
  DATX60 Master's thesis in Computer science and engineering	Diploma thesis (part B) 30 credits		*
  MVEX03 Master's thesis in Mathematics	Diploma thesis 30 credits		*
  MVEX60 Master's thesis in Mathematics	Diploma thesis (part B) 30 credits		*

• 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.
• *: The module includes education in another period