Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Understanding of computational and model-based approaches to user interface design; Knowledge of major predictive models and theories in human-computer interaction; Ability to formulate and solve realistic user interface design problems using formal and computational approaches;

Credits: 5

Schedule: 26.10.2020 - 11.12.2020

Teacher in charge (valid 01.08.2020-31.07.2022): Jussi Jokinen, Antti Oulasvirta

Teacher in charge (applies in this implementation): Jussi Jokinen, Antti Oulasvirta

Contact information for the course (valid 29.09.2020-21.12.2112):

Antti Oulasvirta

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    Lectures on models, and theories; Assignments solved with Python; Assigned readings

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    Lectures, assignments, bonus tasks, exam

  • Applies in this implementation:

    Assignments, exam, participation in lectures. See course homepage

Workload
  • Applies in this implementation:

    See course homepage

DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

    Lecture notes, assignments, and readings in MyCourses. Starting in 2018, the course will use as course book "Computational Interaction" (Oxford University Press, 2018).

  • Applies in this implementation:

    Python notebooks, readings, slides

Prerequisites
  • Valid 01.08.2020-31.07.2022:

    Mandatory: Python, basic courses in programming. Recommended: probability theory, data structures, algorithms, AI or machine learning. Strongly recommended: A previous course on human-computer interaction, interaction design, or human factors.

SDG: Sustainable Development Goals

    3 Good Health and Well-being

    8 Decent Work and Economic Growth

FURTHER INFORMATION

Details on the schedule
  • Applies in this implementation:

    See course homepage