IT3010 - Empirical research methodologies in IT and digitalization


Examination arrangement

Examination arrangement: Work
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Work 100/100 1 semesters ALLE

Course content

The course will give insight into the most important areas within empirical research methods in IT and digitalization. Approaches to empirical research, research design, data generation and analysis will be covered. The course gives insight in the most used empirical research methods: Case studies, design science, surveys, and experiments. The course provides an introduction to research ethics and managing user data, writing and reviewing research articles, and doing peer reviews.

Learning outcome

• Knowledge: The candidate will acquire knowledge of: - Basics of design of scientific studies. - Principles for selection of data generation and analysis methods. – Basic definitions of empirical research in IT and digitalization. • Skills: The candidate will acquire skilled on: -Planning and conducting research projects. - Collecting and analyzing research data. - Foreseeing and reducing threats to validity of research designs. • General competence: The candidate will get competence on: - Critically evaluate the quality of research studies in IT and digitalization. - Conduct empirical studies.

Learning methods and activities

Lectures, self-study, group-based individual assignments. Student groups will conduct a complete cycle of research, including planning, data generation and analysis, paper writing and revision, and presentation in conference. Some of the activities happen in predefined dates and require personal attendance by students.

Compulsory assignments

  • mandatory practice hours

Further on evaluation

Retake of the course will require new participation/deliverables in all activities. Students are required to meet up for some mandatory exercises on predefined days. Dates for these days are announced in the beginning of the semester. 

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Computer Science (MTDT)
Informatics (MIT)
Informatics (MSIT)
Natural Science with Teacher Education, years 8 - 13 (MLREAL)

Required previous knowledge

No other courses required in order to take this course. This course is currently mandatory for master students in informatics.

Course materials

Articles and book which will be presented at the start of the semester.

More on the course

Version: 1
Credits:  7.5 SP
Study level: Second degree level


Term no.: 1
Teaching semester:  SPRING 2022

Language of instruction: English, Norwegian

Location: Trondheim

Subject area(s)
  • Informatics
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science


Examination arrangement: Work

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Work 100/100 ALLE



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"

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