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

Ability to plan and execute empirical user studies with correct scientific methodology. Skills in inferential statistics, modeling, computational data analysis, and visualisation. Understanding the connection between the phases of empirical research in human computer interaction: design problem, research question, hypothesis, measurement, analysis, and inference. Understanding how user research relates to user interface design via user modelling and data driven-design.

Credits: 5

Schedule: 13.09.2021 - 19.10.2021

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Antti Oulasvirta, Aurélien Nioche

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Basics on how to conduct scientific user studies, analyse the resulting data, and utilise the results in design. The focus is on statistical inference and computational tools of user research. The course covers study design (e.g., experiments, A/B testing), data analysis and statistical inference, user modelling, and data-driven design. While the lectures cover the distinct phases of user research, the exercises apply the lecture contents with real-life problems and data. Most exercises will be done with R.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Lectures, assignments, exam

Workload
  • valid for whole curriculum period:

    Contact hours 50 h
    Independent learning 60 h

DETAILS

Study Material
  • valid for whole curriculum period:

    Lecture notes, assignments, and provided reading material

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Period:

    2020-2021 Autumn I

    2021-2022 Autumn I

    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=ELEC-E7890

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.

    Weboodi
    Open to all students (also PhD students and students of University of Helsinki; but the priority is given to students of CCIS). The number of students is limited to 20. In case there are more students than seats, selection will be made based on 1) study program, 2) grades in HCI-related courses, and 3) competence in statistics and programming.