NDAK15012U Advanced Topics in Human-Centred Computing (ATHCC)
MSc Programme in Computer Science
MSc Programme in Computer Science with a minor subject
The aim of the course is to introduce participants to advanced topics in human-centred computing (HCC). HCC spans human-computer interaction, computer-supported cooperative work, and advanced interaction techniques.
Participants will read current and classic papers on HCC and discuss them in-depth. In addition, they will hand in four written assignments on parts of HCC that will be used to grade the course. One of these assignments is a log of notes from reading and questions for the papers read; the others are about particular topics in HCC for which a literature survey or analysis is required.
The topics discussed in the course are intended to inspire students to pick topics for their master theses.
Knowledge of
- Human-centred computing (HCC).
- Current research topics in HCC, including but not limited to user experience, advanced user interfaces, collaboration supported by computers, and methods for developing user interfaces.
- Research methods in HCC, including their relative benefits and drawbacks considering aspects of validity, reliability, generalisability, precision, and realism depending upon research questions and methods.
Skills in
- Identifying and analysing scientific literature within HCC research domain.
- Synthesising the literature within a specific area or domain of HCC, focusing on human use of technology and the major phenomena surrounding it.
- Formulating and discussing open research questions and problems within the HCC area.
Competences in
- Analysing scientific papers, including considerations on users, tasks, the context of use, and technologies.
- Discussing scientific work in HCC, in particular, the relation between construction of interfaces, understanding users, and conceptually-driven work.
- Identifying poor and good arguments in HCC.
Selected papers and book chapters. See Absalon when the course is set up.
Academic qualifications equivalent to a BSc degree is recommended.
- Category
- Hours
- Class Instruction
- 14
- Preparation
- 78
- Practical exercises
- 14
- Project work
- 100
- Total
- 206
As an exchange, guest and credit student - click here!
Continuing Education - click here!
PhD’s can register for MSc-course by following the same procedure as credit-students, see link above.
- Credit
- 7,5 ECTS
- Type of assessment
- Continuous assessment
- Type of assessment details
- Continuous assessment based on 4 assignments. The final grade is given on an overall assessment of the assignments.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
- Re-exam
Resubmission of (possibly revised) assignments.
Criteria for exam assesment
See Learning Outcome.
Course information
- Language
- English
- Course code
- NDAK15012U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 3
- Schedule
- C
- Course capacity
- No limit
The number of seats may be reduced in the late registration period
Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Computer Science
Contracting faculty
- Faculty of Science
Course Coordinators
- Joanna Emilia Bergström (6-7b80727f7f7251757a3f7c863f757c)