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
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
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.