Databases and Information Systems (DIS)

Course content

This course introduces students to basic database concepts such as relational databases, normal forms, and transactions. In addition, the course covers system development (basic software development) and version control and includes the practical development of a smaller system (web system, mobile system, or the like, which must be decided before the course starts) as project work. Formal languages and reading of structured text are also covered.


BSc Programme in Computer Science and Economics
BSc Programme in Computer Science
BSc Programme in Machine Learning and Data Science

Learning outcome

Knowledge of

  • Key database technical concepts such as the relational model, data independence and transactions.
  • Entity-relationship modeling (ER modeling) and relational data modeling, including transformations from ER modeling to relational data modeling.
  • Queries in database query languages, including relational calculus, relational algebra, and SQL.
  • The theory of database normalization, including functional dependencies, keys, and relational decompositions.
  • ACID (atomicity, consistency, isolation, durability) properties and use of transactions.
  • Indexing techniques and their role in database query optimization.
  • Use of constraints and triggers.
  • Facilities for connecting databases, programming environments, and program libraries.
  • Methods for reading structured texts (i.e. regular expressions, finite automata, context-free grammars).
  • Data protection regulation (GDPR)


Skills in

  • Developing a data model and realizing database applications starting from the ER modeling, over relational modeling and normalization, to concrete relational, SQL-based database application.
  • Planning and managing an agile, iterative, and learning-oriented system development process, which under given resource and time constraints leads to the realization of a new database application.


Competence in

  • Developing a database design and implement database applications.
  • Effectively participating in an agile software development process as part of a group of developers.

A combination of lectures, exercise sessions and a practical group project (with report).

See Absalon when the course is set up.

Programming skills and experience in software development at a level corresponding to the completion of the DIKU courses "Programming og problemløsning" and either "High Performance Programming and Systems" or "Computer Systems”.

The course is similar to the discontinued course NDAB20003U Databaser og informationssystemer (DoI). Therefore you cannot register for NDAB21010U - Databases and Information Systems (DIS), if you have already passed NDAB20003U Databaser og informationssystemer (DoI).

Continuous feedback during the course of the semester
7,5 ECTS
Type of assessment
Written examination, 4 hours under invigilation
Type of assessment details
The course has been selected for ITX exam
See important information about ITX-exams at Study Information, menu point: Exams -> Exam types and rules -> Written on-site exams (ITX)
Exam registration requirements

1. The group project report must be approved.

2. Two mandatory assignments, marked as pass/fail, must be passed.

Written aids allowed

Books, notes, printouts are allowed.

As the exam is an ITX-exam, the University will make computers available to students at the exam. Students are therefore not permitted to bring their own computers, tablets, calculators, or mobile phones.

Marking scale
7-point grading scale
Censorship form
External censorship

4-hour written test with written aids (as in the ordinary exam). 

If there are 10 or fewer students registered, the re-exam will be changed to an oral exam (30 min. including voting) without preparation.

Exam registration requirements: Mandatory assignments and the project (possibly as an individual project) must be resubmitted and approved no later than 3 weeks before the re-examination date.

Criteria for exam assessment

See Learning Outcome.

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 28
  • Preparation
  • 78
  • Exercises
  • 14
  • Project work
  • 82
  • Exam
  • 4
  • English
  • 206


Course number
7,5 ECTS
Programme level

1 block

Block 4
No limit
The number of seats may be reduced in the late registration period
Study Board of Mathematics and Computer Science
Contracting department
  • Department of Computer Science
Contracting faculty
  • Faculty of Science
Course Coordinator
  • Dmitriy Traytel   (7-7876657d78697044686d326f7932686f)
Saved on the 26-01-2024

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