Course syllabus

Computer Science, Second Cycle, Project Work in Computer Science, 15 credits

Course code: DT107A Credits: 15
Main field of study: Computer Technology Progression: A1N
Last revised: 14/03/2024    
Education cycle: Second cycle Approved by: Head of school
Established: 02/12/2019 Reading list approved: 14/03/2024
Valid from: Autumn semester 2024 Revision: 3

Learning outcomes

Knowledge and understanding
After completing the course, the student must be able to demonstrate

  • knowledge and understanding within robotics and intelligent systems, including an overview of the field as well as in-depth knowledge within certain parts of the field as well as insight into current research and development work, and
  • in-depth methodological knowledge in robotics and intelligent systems.

Skills and abilities
After completing the course, the student must be able to demonstrate

  • ability to integrate knowledge and to analyse, assess and manage complex phenomena, issues and situations even with limited information
  • ability to independently identify and formulate questions and to plan and with adequate methods carry out qualified tasks within given time frames
  • ability to clearly explain and discuss one's conclusions orally and in writing and the knowledge and arguments that underlie them in dialogue with different groups, and
  • such skills as are required to participate in research and development work or to work in other qualified activities.

Evaluation ability and approach
After completing the course, the student must be able to

  • make judgments with regard to relevant scientific, societal and ethical aspects within applications of robotics and intelligent systems and show awareness of ethical aspects of research and development work,
  • show insight into the possibilities and limitations of science, its role in society and people's responsibility for how it is used, and
  • demonstrate the ability to identify their need for additional knowledge and to take responsibility for their knowledge development.

Content

  • Practical use of modern algorithms, robots and sensors,
  • problem formulation, analysis of data,
  • independent implementation work,
  • work planning: breaking down the work into realistic sub-goals and planning and following up work effort and time consumption, and
  • information management, research ethical considerations, and report writing.

Examinations and grades

Examination, 15 credits (Code: A001)
Grades used are Fail (F), Sufficient (E), Satisfactory (D), Good (C), Very Good (B) or Excellent (A).


According to the Higher Education Ordinance, Chapter 6, Section 18, a grade is to be awarded on the completion of a course, unless otherwise prescribed by the university. The university may determine which grading system is to be used. The grade must be determined by a teacher specifically nominated by the university (the examiner).

In accordance with university regulations on grading systems for first and second-cycle courses and study programmes (Vice-Chancellor’s decision ORU 2018/00929), one of the following grades is to be used: fail (U), pass (G) or pass with distinction (VG). For courses included in an international master’s programme (60 or 120 credits) or offered to the university’s incoming exchange students, the A to F grading scale is to be used. The vice-chancellor, or a person appointed by them, may decide on exceptions from this provision for a specific course, if there are special grounds for doing so.

The grades used on this course are Fail (F), Sufficient (E), Satisfactory (D), Good (C), Very Good (B) or Excellent (A).

Modes of assessment

  • Examination (code A001): Independent Project

For students with a documented disability, the university may approve applications for adapted or other modes of assessment.

For further information, see the university's local examination regulations.

Specific entry requirements

First-cycle degree of 180 credits with Computer Science as the main field of study and 15 credits in mathematics (analysis and algebra). Or first-cycle degree of 180 credits and 30 credits in mathematics (analysis and algebra) as well as 15 credits in Computer Science or Informatics (which includes programming). The applicant must also have qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School.

For further information, see the university's admission regulations.

Other provisions

This is a project course, and the exact content is specified individually. The student must first contact a supervisor at the research group AASS and discuss a project idea before applying to the course.

The course is given in English.

Students who have been admitted to and registered on a course have the right to receive tuition and/or supervision for the duration of the time period specified for the particular course to which they were accepted (see, the university's admission regulations (in Swedish)). After that, the right to receive tuition and/or supervision expires.

Reading list and other learning resources

This is an independent project where students, with supervision, search for relevant literature.