Course syllabus

This course is established by Dean 2024-08-16. The course syllabus is approved by Head of Department of Computer Science 2024-10-29 and applies from 2024-10-29.

Admission to the course requires completed courses of an amount of 120 credits in technology, computer science, software engineering, electrical engineering or equal, of which at least 12 credits in mathematics. English 6.

3.1 Objective

3.2 Content

The following learning outcomes are examined in the course:

4.1. Knowledge and understanding

4.2. Competence and skills

4.3. Judgement and approach

The course begins with lectures in research methodology and is later conducted in two main stages, article analysis (seminars) and report. Article analysis is conducted in seminar form where current research articles in the field are presented, opposed and discussed by the students under the supervision of teachers. The articles presented have different technical themes selected through information search by students and teachers, and distributed to the students before the seminar. The students presenting the articles prepare a research-based presentation that clearly highlights the chosen technical area. Other students must have read the material before the seminar in order to participate in the discussions. The opponents are given a special role before the presentations, which should adopt a critical attitude to the research and technology presented in order to initiate a good discussion. The report is an in-depth study of a current technology, where report writing follows scientific practice. The report should be centered on a scientific question or problem formulation and apply scientific methods for an initial technical solution, data collection and analysis, and comparison with relevant literature.

Modes of examinations of the course

The course will be graded A Excellent, B Very good, C Good, D Satisfactory, E Sufficient, FX Failed result, a little more work required, F Fail.

In this context, seminars refer to the learning activity of analysing articles.

The information before a course occasion states the assessment criteria and make explicit in which modes of examination that the learning outcomes are assessed.

An examiner can, after consulting the Disability Advisor at BTH, decide on a customized examination form for a student with a long-term disability to be provided with an examination equivalent to one given to a student who is not disabled.

The course evaluation should be carried out in line with BTH:s course evaluation template and process.

The course can form part of a degree but not together with another course the content of which completely or partly corresponds with the contents of this course.

Course literature

The literature in the course consists of the selection of research articles produced in each course session. Added to this are the individual articles that students use as a basis for the report.

Reference literature

Experimentation in Software Engineering
Författare: Claes Wohlin, Per Runesson, Martin Höst, Magnus C. Ohlsson, Björn Regnell, Anders Wesslén
Förlag: Springer Berlin, Heidelberg
Tryckår: 2024
ISBN13: 9783662693056

Projects in Computing and Information Systems; 3rd Edition
Författare: Christian W. Dawson
Förlag: Pearson Education Canada
Utgivare: Addison Welsey
Tryckår: 2015
ISBN13: 9781292073460

How to Research (Open Up Study Skills); 4th Edition
Författare: Loraine Blaxter et al.
Förlag: Open University Press
Tryckår: 2010
ISBN-13: 978-0335238675

Writing for Computer Science; 3rd Edition
Författare: Justin Zobel
Förlag: Springer
Tryckår: 2014
ISBN-13: 978-1447166382

Thesis Projects: A Guide for Students in Computer Science and Information Systems; 2nd Edition
Författare: Mikael Berndtsson et al.
Förlag: Springer
Tryckår: 2007
ISBN-13: 978-1848000087

Experimental Design: From User Studies to Psychophysics;
1st Edition
Författare: Douglas W. Cunningham and Christian Wallraven
Förlag: A K Peters/CRC Press
Tryckår: 2011
ISBN-13: 978-1568814681