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Advanced programming DAT240

The students will learn to apply software development methodologies such as agile and project management tools in developing a large group software project.  Learn about various programming paradigms such as objected oriented programming, functional, etc. Learn to identify the difference between these paradigms and their limitations. 

Course description for study year 2021-2022. Please note that changes may occur.

Course code




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Semester tution start


Number of semesters


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Offered by

Faculty of Science and Technology, Department of Electrical Engineering and Computer Science

Learning outcome


  • Use of strongly typed programming languages
  • Objected oriented programming and polymorphism
  • Software engineering and development methodologies such as agile (scrum and kanban)
  • SOLID principles and design patterns
  • Best coding practices
  • Concurrency
  • Testing, debugging, version control, code review


  • Be capable of designing and developing complex software systems.
  • Know how to apply design patterns

General competence:

  • Capable of developing and managing advanced software projects
  • Software development methodologies for example, agile methodologies such as scrum, kanban, project management tools (for design, tracking issues, sprints etc)
  • Programming paradigms such as object oriented programming, functional programming, procedural programming with emphasis on strong typed languages 
  • SOLID principle, Design Patterns, Generics
  • Advanced data structures and algorithms
  • Concurrency
  • Use of compilers, build tools
  • Use of version control (git) and coding in teams
Required prerequisite knowledge
DAT110 Introduction to Programming
Recommended prerequisites
DAT200 Algorithms and Datastructures, DAT220 Database Systems, DAT310 Web Programming, DAT320 Operating Systems and Systems Programming

Written and oral exam

Form of assessment Weight Duration Marks Aid
Written exam 3/5 4 Hours A - F
Programming project and oral test 2/5 A - F

Project consisting one large assignment. The project is to be performed in a group. The grade for the project will be based on the submitted program code and an oral presentation in groups of the submitted program code. Both parts must be done before final grade is given. If a student fails the project, she/he has to take this part next time the subject is lectured. Written exam is digital (Inspera).Both examination units must be passed in order to receive a final grade in the course.

Coursework requirements
3 compulsory lab assignments

Three mandatory individual lab exercises (programming and written exercises). Pass/Fail. All obligatory exercises must be passed to attend for the written exam. Approval may take place through the Autograder system for automated evaluation, followed by in-lab approval.

Completion of mandatory lab assignments are to be made within the allotted time period. Absence due to illness or for other reasons must be communicated as soon as possible to the laboratory personnel. One cannot expect that provisions for completion of the lab assignments at other times are made unless prior arrangements with the laboratory personnel have been agreed upon.

Failure to complete the assigned labs on time or not having them approved will result in barring from taking the exam of the course.

Course teacher(s)
Course coordinator: Vinay Jayarama Setty
Course teacher: Glenn Frode Henriksen
Head of Department: Tom Ryen
Method of work

Lectures, individual programming tasks and a project that must be done in groups.

4 hours lectures and 4 hours exercise  per week.

Open for
Computer Science- Bachelor's degree programme in computer science Admission to Single Courses at the Faculty of Science and Technology Exchange programme at Faculty of Science and Technology
Course assessment
Form/oral discussion.
Overlapping courses
Course Reduction (SP)
Advanced programming (BID100) 5
Software Engineering (DAT210) 10
The syllabus can be found in Leganto