Research is a cyclical process where new and carefully planned investigations build and extend on established work. The aim is to provide students with a fundamental understanding of research as a conceptual, empirical and practical approach to gathering new insight and knowledge within Applied Computer Science. Teaching centres on applied research from the field of computer science and presents students with relevant methods from this domain, along with their possibilities and limitations.

Emphasising the importance of background work with a solid understanding of past research, an important outcome of this course is a structured literature review that forms the foundation for a project plan. Furthermore, students will learn a systematic approach to empirical investigation, including research design and methodology, qualitative and quantitative analyses, design research and the presentation and evaluation of results.

At completion of the course, students will be prepared to begin work on their own research project.



The student...

  • can explain the concept of empirical research
  • can distinguish between good and bad research practices
  • can explain relevant quantitative and qualitative approaches for Applied Computer Science research
  • can describe research methods from the applied computer science domain, such as design research, usability tests, experiments, physiological measurements, case studies surveys and questionnaires
  • can explain hypothesis testing


The student...

  • can perform a structured literature search for a literature review
  • can formulate research questions based on prior research
  • can plan a research project
  • can plan a data collection process, either on qualitative or quantitative data
  • plan a data analysis process, either on qualitative or quantitative data

General competence 

The student...

  • can analyse and justify an appropriate research approach
  • can assess issues and challenges on validity
  • can consider legal and ethical regulations for the conduct of research

Emnet inngår i

Master of Applied Computer Science - Software integration


Block teaching for four weeks. There will be class teaching three days a week for the two first weeks. The course is structured as a combination of class teaching, group collaboration and presentation in class. 

Anbefalt tidsbruk

Lectures and student guidance: 48 hours

Self-study: 64 hours

Preparation for presentation/discussion in class: 25 hours

Assessment 63 hours

Total: 200 hours


This course makes use of statistical software such as SPSS or R programming.

Obligatorisk aktivitet

Arbeidskrav: Består av en eller flere oppgaver/aktiviteter som til sammen må vurderes godkjent 

Kvalifisert: G/IG (godkjent/ikke godkjent) 

Hjelpemidler: Alle hjelpemidler er tillatt 

Studenten må ha fått godkjent arbeidskravet i henhold til frister i retningslinjer for eksamen for å få lov til å avlegge eksamen.


Eksamensdel: Skriftlig individuell hjemmeeksamen 

Varighet: Tre uker

Gradering: Nasjonal karakterskala A - F (F er ikke bestått) 

Vekting: 100 % av hel vurdering 

Hjelpemidler: Alle hjelpemidler tillatt


See the learning outcome


Updated information on textbooks and other teaching materials is published per programme on our online learning platform before the semester starts. Information is also available per application on our website.


In addition to literature and other teaching material, scheduled teaching and other scheduled learning activities are always part of the syllabus.