course-details-portlet

DT8111 - Empirical research methodologies in IT and digitalization

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Passed/Failed

Evaluation form Weighting Duration Examination aids Grade deviation
work 100/100 ALLE

Examination arrangement

Examination arrangement: Work
Grade: Passed/Failed

Evaluation form Weighting Duration Examination aids Grade deviation
work 100/100

Course content

This PhD course is similar to the MSc course IT3010 but has more advanced requirements for PhD students. The course is run every spring.

The course will give insight into the most important areas within empirical research methods in IT and digitalization. Challenges of empirical research, research design, data generation and analysis will be covered. The course gives insight into 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 skills 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 acquire competence on: - Critically evaluating the quality of empirical studies in IT and digitalization. - Conduct empirical studies.

Learning methods and activities

Lectures, self-study, individual assignments. Students will conduct a complete cycle of research, including planning, data generation and analysis, paper writing and revision, and presentation in conference.

Further on evaluation

Retake of the course will require new participation/deliverables in all activities.

Required previous knowledge

None. You cannot take this course if you already have taken IT3010 or equivalence.

Course materials

Relevant papers and book chapters.

Facts

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

Coursework

Term no.: 1
Teaching semester:  SPRING 2021

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Computer and Information Science
  • Computer Systems
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science

Phone:

Examination

Examination arrangement: Portfolio assessment

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Spring ORD work 100/100 ALLE
Room Building Number of candidates

Examination arrangement: Work

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam 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"

More on examinations at NTNU