course-details-portlet

IT3010 - Empirical research methodologies in IT and digitalization

About

Examination arrangement

Examination arrangement: Work
Grade: Letter grades

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

Course content

The course will give insight into the most important areas within empirical research methods in IT (Information Technologies) 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 introduces 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.
  • Ethical issues related to empirical research in IT and digitalization, and how to address them.

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 and individual assignments. Student groups will conduct a complete cycle of research, including planning, data generation and analysis, paper writing and revision, and dissemination. Some of the activities happen in predefined dates and require personal attendance by students.

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.

Required previous knowledge

Basic competences in IT and digitalization.

Course materials

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

More on the course
Facts

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

Coursework

Term no.: 1
Teaching semester:  SPRING 2023

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

Examination arrangement: Work

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

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

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