IDATA2506 - Computer science, specialization course


New from the academic year 2023/2024

Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Portfolio module 1 50/100
Portfolio module 2 50/100

Course content

In this course students will focus on a specific area of computer science, in software development, research or both.

Students shall select two modules worth 3,75 creditss.

Offered modules can vary from year to year, see:

Some modules may have special requirements and limited number of available study places (maximum number of students per module).

Other subjects, including mentored self-study, are possible if agreed with the institute.

Learning outcome

Knowledge - the candidate knows:

  • the state-of-art in the subject area

Skills - the candidate is able to :

  • independently research the subject area and acquire versatile knowledge

General competence - student can:

  • reflect on his/her own learning and relevance of the subject to current projects at hand and to his/her career in general
  • apply previously learned general skills such as agile work methodology and version control

Learning methods and activities

The modules are in principle self-tuition, possibly with some lectures or mandatory practice. Some modules may have admission requirements and limited number of study places. The exact format may vary and is described for each module separately.

Compulsory assignments

  • Assignments module 1
  • Assignments module 2

Further on evaluation

1) All mandatory assignments must be approved to get access to the examination.

2) The portfolio contains assignments that are carried out, digitally documented and submitted during the term. Both individual and team assignments may be given. Assignments are designed to help students achieve specific course learning outcomes, and formative feedback is given during the period of the portfolio.

3) Re-sit examination in the spring semester is possible, if all mandatory course work is approved.

4) Each module has specific mandatory assignments. Examination in specific module is possible only if the assignments for that module are approved.

5) Both the modules must be passed (grade E or better) to pass the course. In case one of the modules is failed, it is possible to re-take the exam in the failed module without re-taking the exam in the other module

Re-sit exam: May/June.

Specific conditions

Admission to a programme of study is required:
Computer Science (BIDATA)

Course materials

Announced at the start of the semester

More on the course



Version: 1
Credits:  7.5 SP
Study level: Third-year courses, level III


Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: English, Norwegian

Location: Ålesund

Subject area(s)
  • Computer and Information Science
  • Database technology
  • Computer Systems
Contact information
Course coordinator:

Department with academic responsibility
Department of ICT and Natural Sciences


Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Portfolio module 1 50/100





Room Building Number of candidates
Autumn ORD Portfolio module 2 50/100





Room Building Number of candidates
Spring UTS Portfolio module 1 50/100 INSPERA
Room Building Number of candidates
Spring UTS Portfolio module 2 50/100 INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU