Entry requirements

1. Bachelor´s or Master´s degree in engineering (at least 180 credits) in computer science or related fields such as computer engineering, computer and information science, software engineering, informatics, telecommunications or electrical engineering.
2. At least 15 credits in programming
3. Equivalent to English from a Swedish upper secondary school

Progression level in relation to degree requirements

The course is part of the Computer Science: Internet of Things program, master's program and the main area of ​​Computer Science and can be included in the degree requirements for a Master's degree (120 credits) in Computer Science.

Course contents

The course includes the following:

• Formulation of scientific problems and hypotheses
• Selection and review of relevant literature
• Research methods in computer science with a special focus on IoT
• Approaches to data selection and collection
• Data analysis, including statistical methods
• Oral and written presentation of research studies
• Research ethics

Learning outcomes

Knowledge and understanding

To pass the course, the student must be able to:

1. Explain and demonstrate understanding of different scientific methods in computer science and IoT

2. Explain and demonstrate understanding of different approaches for selecting and collecting relevant data

3. Explain and demonstrate understanding of different approaches for analyzing data

4. Explain and demonstrate understanding of ethical aspects related to research in computer science and IoT

Skills and abilities

To pass the course, the student must be able to:

5. Formulate scientific problems and hypotheses

6. Given a scientific problem, make a selection of and review literature that is relevant to the problem and present this literature

7. Design a research study in IoT, including the choice of scientific method and data, as well as the collection of data and data analysis

8. Present a research study orally and in writing in a scientific manner

Judgment skills and attitudes

To pass the course, the student must be able to:

9. Critically reflect on the choice of research methods, data, data collection and data analysis, in relation to alternative choices and taking into account ethical aspects

Learning activities

Lectures, seminars and self-study.

Assessment

Assessment of student performance is based on:

• Written and oral assignments (3.5 credits, assessed according to UG) - Learning outcomes 5, 6, 7, 8, 9
• Written exam (4 credits, assessed according to UA) - Learning outcomes 1, 2, 3, 4, 7, 9

For a passing grade, both approved assignments and a passed exam are required.

Final grade is based on the exam.

Course literature

Reference literature:

• Berndtsson, M., Hansson, J., Olsson, B., & Lundell, B. (2008). Thesis projects: A Guide for Students in Computer Science and Information Systems. London: Springer.
• Oates, B.J., (2005). Researching Information Systems and Computing. London: Sage Publications.
• Wohlin, C., Runeson, P., Höst, M., Ohlsson, M.C., Regnell, B., & Wesslén, A. (2012). Experimentation in Software Engineering. Berlin: Springer.
• Zobel, J. (2015). Writing for Computer Science - The Art of Effective Communication. London: Springer

Additional scientific articles are provided by the teacher during the course.

Course evaluation

Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).

Interim rules

If a course is no longer offered, or has undergone significant changes, the students must be offered two opportunities for re-examination based on the syllabus that applied at the time of registration, for a period of one year after the changes have been implemented. The syllabus is a translation of a Swedish source text.

Additional information

If a student has a Learning support decision, the examiner has the right to provide the student with an adapted test, or to allow the student to take the exam in a different format.

The syllabus is a translation of a Swedish source text.