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, methods for prototyping and developing, and advanced interaction techniques.
Participants will read current and classic research 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. The graded assignments focus on practicing the scientific tasks and skills discussed in class, for example designing evaluation protocols, analysing data, or surveying and synthesizing literature.
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, and methods for prototyping and 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 limitation – unless you register in the late-registration period (BSc and MSc) or as a credit or single subject student.
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 (6-6d726471716443676c316e7831676e)