Scientific Methods 7.5 credits

Vetenskapliga metoder
Second cycle, A7006N
Course syllabus valid: Autumn 2019 Sp 2 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

Syllabus established
by 28 Feb 2007

Last revised
by Director of Undergraduate Studies Jonny Johansson, Department of Computer Science, Electrical and Space Engineering 23 Aug 2019

Education level
Second cycle
Grade scale
U G VG *
Information Technology
Subject group (SCB)
Computer Technology
Main field of study
Information Security, Computer Science and Engineering

Entry requirements

Minimum 120 ECTS of university studies including 60 ECTS in the areas of computer science or systems science, business administration or equivalent. Students from non-English speaking countries are required proof of knowledge in English provided by TOEFL test (score 550/213 or higher), IELTS test (score 6.0 or higher) or equivalent test. Students from EU countries are required to have obtained a pass in an English language course in their upper secondary school leaving certificate.

More information about English language requirements


The selection is based on 20-285 credits

Course Aim

Upon completion of the course, the student will be able to:

  • Describe the most important scientific methods in information systems research.
  • Identify, analyse and describe the possibilities and effects which different scientific research strategies will have on research problems.
  • Motivate and describe a methodological research process for a small-scale research plan (e.g., for a Master’s thesis) 


To be able to appreciate research and its special characteristics, common research methods in the field of information systems are discussed and used in this course. Three research approaches will be explored: design-oriented research, qualitative research and quantitative research. Under these three broad themes, examples of particular research methods and techniques are introduced. The students will develop knowledge in how to design a research process from initial problem definition onwards to a meaningful research plan. Moreover, students will develop their skills in critical thinking and reflection on their learning process. 


Instruction takes the form of lectures, individual work, project work, and seminars. Student learning will take place through participation in lectures, self-study, individual assignments, and a project. The course utilises a problem-based learning approach, applying the theoretical knowledge of research methods on the student’s own research idea. The project can be conducted individually or in a small group.  Moreover, students will execute critical analysis and reflections on conducted assignments, e.g., by reviewing and commenting on other research proposals. 

Teaching is in English and conducted in the campus and/or on-line with no compulsory meetings. IT support: Learning management system, on-line access to lectures, e-mail, and phone. 


Students will be assessed through written reports and an oral presentation of the project work in a seminar. Assignments and projects target the application of knowledge of research methods and approaches introduced in the lectures to a student’s own research problem. In the project, a student develops and presents a research/development proposal based on his/her interest, self-study of relevant literature identified with the selected research/development problem, and showing perception of alternative research approaches in relation to the selected problem. 


Technical Requirements: access to PC with Windows, microphone, Web cam, headset and permission to install software. Internet connection (minimum 0,5 Mbps).

Diana Chroneer

Literature. Valid from Autumn 2016 Sp 1 (May change until 10 weeks before course start)
Leady, P.D., & Omrod, J.E.: Practical Research: Planning and Design. Pearson Merril Prentice Hall, 2004, Edition 9 or newer.
research Timely articles and materials of particular research methods can be introduced during the course.

Course offered by
Department of Computer Science, Electrical and Space Engineering

CodeDescriptionGrade scaleHPStatusFrom periodTitle
0003Individual assignment reportsU G VG *3.00MandatoryA16
0004Research proposal (individual or group)U G VG *4.50MandatoryA16

Study guidance
Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.