Course Syllabus for students Spring 2023

After a successful course, the student shall

- display knowledge of current trends in the field of human-computer interaction.
- show familiarity with the use of various human-computer interaction concepts, theories, and principles

- demonstrate the ability to identify relevant human-computer interactions concepts, theories, and principles.
- demonstrate the ability to contrast the use of concepts, theories, and principles in human-computer interaction to formulate own research designs

- demonstrate the ability to critically assess and reflect on human-computer interaction concepts, theories, and principles.
- demonstrate the ability to identify the own need of further knowledge and to take responsibility for further knowledge development.

The purpose of this course is to provide the students with an overview of current research and themes in Human-Computer Interaction (HCI). The students shall then identify, critically assess and use concepts, theories and principles from this research to formulate their own research designs.

Inspirational lectures and assignments drawing from contemporary, state-of-the-art content presented on conferences and in recent publications in the field of HCI. Topics of interest within HCI may include, but not limited to, the following:
- Context-aware computing
Activity analysis, Embodied and Wearable Computing, Smart Spaces, Location-aware systems, Privacy technologies, Affective Computing.
- Perceptual Interface
Virtual reality (VR) and Augmented reality (AR), Vision-based interfaces, Conversational interfaces
- Collaboration and Learning
Tutorial and instruction systems, Crowdsourcing, Pattern-based authoring tools, Learning at scale, Remote group collaboration technologies, Citizen science
- Digital Design and Fabrication
Prototyping tools, DIY and Maker Culture, Computational Design, Creativity-support tools, Sensing technologies
- Human-Centered Artificial Intelligence
Human-robot interaction, Explainable AI, Interactive Machine Learning, Responsible AI, Multimedia retrieval and understanding, Recommender Systems
- Computational Social Science
Automated information extraction, Social network analysis, Geospatial analysis, Complexity modeling, Social simulation models.

Lectures, seminars, tutoring and written assignments.

The teaching is conducted in English.

General entry requirements and completed courses 60 credits in first cycle, including Introduction to Human-Computer Interacion, 7,5 credits, Web and User Interface Design, 15 credits and User Experience Design, 7,5 credit (or the equivalent).

The course is graded 5,4,3 or Fail.

Name of the Test	Value	Grading
Assignment1	5 credits	5/4/3/U
Seminars	2.5 credits	U/G

¹ Determines the final grade of the course, which is issued only when all course units have been passed.

The literature list for the course will be provided 8 weeks before the course starts.

No specific course materials upfront. It will be hand outs during the lectures.