Credits: 5

Schedule: 09.09.2019 - 15.10.2019

Teaching Period (valid 01.08.2018-31.07.2020): 

I 2018-2019 (autumn), I 2019-2020 (autumn)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

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.

Content (valid 01.08.2018-31.07.2020): 

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 01.08.2018-31.07.2020): 

Lectures, assignments, exam

Workload (valid 01.08.2018-31.07.2020): 

Contact hours 50 h
Independent learning 60 h

Study Material (valid 01.08.2018-31.07.2020): 

Lecture notes, assignments, and provided reading material

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

1) A previous course on human-computer interaction, interaction design, or human factors. 2) Basics in descriptive and inferential statistics. 3) Familiarity with Matlab, R, or Python.

Grading Scale (valid 01.08.2018-31.07.2020): 


Registration for Courses (valid 01.08.2018-31.07.2020): 

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.

Further Information (valid 01.08.2018-31.07.2020): 

Language class 3: English


Registration and further information