Year 1

Programme overview for year 2026/2027

The programme overview is adopted 2026-02-11 by Dean of Education.

AUTUMN TERM

Study period 1

Compulsory courses

Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
DAT060 Logic in computer science	Examination 7.5 credits		E	Thu 29/10-2026 am J	Tue 05/01-2027 am J Wed 25/08-2027 am J
TIN093 Algorithms	Examination 7.5 credits		E	Mon 26/10-2026 pm J	Thu 26/08-2027 pm J

Elective courses

Course code and name	Module, credits/period	Note	Examination	Re-examination (okt 2026 - aug 2027)
DAT105 Computer architecture	Project 1.5 credits
DAT105 Computer architecture	Examination 6 credits	S	Mon 26/10-2026 pm L	Thu 07/01-2027 pm J Tue 17/08-2027 pm J
DAT350 Types for programs and proofs	Oral examination 7.5 credits	E, 1)
DAT441 Advanced topics in machine learning	Written and oral assignments 3.5 credits	1)
DAT441 Advanced topics in machine learning	Examination 4 credits	S, 1)	Mon 26/10-2026 am J INSP	Tue 05/01-2027 am J INSP Mon 16/08-2027 pm J INSP
DAT650 Formal methods in software development	Laboratory 2.5 credits	1)
DAT650 Formal methods in software development	Examination 5 credits	S, 1)	Thu 29/10-2026 am J	Mon 04/01-2027 pm J Mon 16/08-2027 pm J

Study period 2

Compulsory courses

Course code and name	Module, credits/period	Block	Note	Examination	Re-examination (okt 2026 - aug 2027)
DAT151 Programming language technology	Examination 6 credits			Thu 14/01-2027 am J	Thu 01/04-2027 am J Thu 26/08-2027 pm J
DAT151 Programming language technology	Laboratory 1.5 credits		S

Elective courses

Course code and name	Module, credits/period	Note	Examination	Re-examination (okt 2026 - aug 2027)
DAT278 Sustainable computing	Laboratory 1.5 credits
DAT278 Sustainable computing	Examination 6 credits	S	Wed 13/01-2027 am J INSP	Wed 31/03-2027 am J INSP Thu 19/08-2027 am J INSP
DAT415 Computability	Examination 4.5 credits	1)	Wed 13/01-2027 am J	Fri 02/04-2027 am J Wed 18/08-2027 am J
DAT415 Computability	Written and oral assignments 3 credits	S, 1)
DAT450 Machine learning for natural language processing	Written and oral assignments 7.5 credits	S
DAT566 Introduction to data science and AI	Written and oral assignments 4 credits
DAT566 Introduction to data science and AI	Examination 3.5 credits	S	Tue 12/01-2027 pm J INSP	Fri 27/08-2027 pm J INSP
DAT615 Neuro-symbolic AI	Examination 7.5 credits	E, 1)	Tue 12/01-2027 pm J INSP	Wed 31/03-2027 pm J INSP Wed 18/08-2027 pm J INSP
DAT655 Data privacy	Laboratory 3 credits
DAT655 Data privacy	Examination 4.5 credits	S	Thu 14/01-2027 am J	Wed 31/03-2027 pm J Thu 26/08-2027 pm J
EEN020 Computer vision	Project 3 credits
EEN020 Computer vision	Written and oral assignments 4.5 credits	S
TDA251 Algorithms, advanced course	Project 7.5 credits	E, 1)
TDA352 Cryptography	Laboratory 1.5 credits	1)
TDA352 Cryptography	Examination 6 credits	S, 1)	Fri 15/01-2027 am J	Thu 01/04-2027 am J Fri 27/08-2027 am J
TDA362 Computer graphics	Examination 6 credits		Fri 15/01-2027 am J	Fri 02/04-2027 pm J Tue 24/08-2027 pm J
TDA362 Computer graphics	Laboratory 1.5 credits	S
TDA452 Functional programming	Laboratory 3 credits
TDA452 Functional programming	Examination 4.5 credits	S	Tue 12/01-2027 am J INSP	Thu 01/04-2027 pm J INSP Tue 17/08-2027 am J INSP
TDA507 Computational methods in bioinformatics	Written and oral assignments 7.5 credits	E
TEK010 Creating new business	Examination 7.5 credits	E	Mon 11/01-2027 am J INSP	Wed 31/03-2027 am J INSP Mon 23/08-2027 pm J INSP

SPRING TERM

Study period 3

Elective courses

Course code and name	Module, credits/period	Note
DAT341 Applied machine learning	Take-home examination 4 credits	2)
DAT341 Applied machine learning	Written and oral assignments 3.5 credits	S, 2)
DAT410 Design of AI systems	Written and oral assignments 7.5 credits	E
DAT566 Introduction to data science and AI	Written and oral assignments 4 credits
DAT566 Introduction to data science and AI	Examination 3.5 credits	S
EDA223 Real time systems	Examination 4.5 credits
EDA223 Real time systems	Laboratory 3 credits	S
EDA264 Computer security	Laboratory 1.5 credits
EDA264 Computer security	Written and oral assignments 6 credits	S
TDA206 Discrete optimization	Examination 7.5 credits	E, 1)
TDA233 Algorithms for machine learning and inference	Written and oral assignments 3 credits	1), 2)
TDA233 Algorithms for machine learning and inference	Examination 4.5 credits	S, 1), 2)
TDA342 Advanced functional programming	Laboratory 4.5 credits	1)
TDA342 Advanced functional programming	Examination 3 credits	S, 1)
TME286 Interpretable artificial intelligence	Project 7.5 credits	E

Study period 4

Elective courses

Course code and name	Module, credits/period	Note	Examination	Re-examination (okt 2026 - aug 2027)
DAT085 Project in computer science	Project 7.5 credits	E
DAT235 Research-oriented course in Computer Science and Engineering	Project 7.5 credits	E
DAT341 Applied machine learning	Take-home examination 4 credits	2)
DAT341 Applied machine learning	Written and oral assignments 3.5 credits	S, 2)
DAT471 Computational techniques for large-scale data	Written and oral assignments 4.5 credits
DAT471 Computational techniques for large-scale data	Examination 3 credits	S	Wed 02/06-2027 am J	Fri 09/10-2026 am J Mon 16/08-2027 am J
DAT475 Advanced databases	Written and oral assignments 3 credits
DAT475 Advanced databases	Examination 4.5 credits	S		Sat 10/10-2026 am J
DAT700 Advanced programming language theory	Project (part A) 5 credits
DAT700 Advanced programming language theory	Examples class (part A) 2.5 credits	S
EDA491 Network security	Examination 6 credits			Fri 09/10-2026 pm J INSP
EDA491 Network security	Laboratory 1.5 credits	S
TDA283 Compiler construction	Project 7.5 credits	E, 1)
TDA602 Language-based security	Project 4.5 credits	1)
TDA602 Language-based security	Laboratory 3 credits	S, 1)
TME290 Autonomous robots	Examination 7.5 credits	E		Contact examiner

1 Compulsory elective: Compulsory elective (DAT350, DAT415, DAT441, DAT615, DAT650, TDA206, TDA233, TDA251, TDA283, TDA342, TDA352, TDA602) 4 of stated courses are required for the degree
2 Overlap: Only one of the marked courses can be included in the degree (DAT341, TDA233)
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.

Computer Science - Algorithms, Languages and Logic

Overview

Year 1

Programme overview for year 2026/2027

AUTUMN TERM

Study period 1

Compulsory courses

Elective courses

Study period 2

Compulsory courses

Elective courses

SPRING TERM

Study period 3

Elective courses

Study period 4

Elective courses

Overview