Omfattning: 5

Tidtabel: 09.09.2019 - 15.10.2019

Undervisningsperiod (är i kraft 01.08.2018-31.07.2020): 

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

Lärandemål (är i kraft 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.

Innehåll (är i kraft 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.

Metoder, arbetssätt och bedömningsgrunder (är i kraft 01.08.2018-31.07.2020): 

Lectures, assignments, exam

Arbetsmängd (är i kraft 01.08.2018-31.07.2020): 

Contact hours 50 h
Independent learning 60 h

Studiematerial (är i kraft 01.08.2018-31.07.2020): 

Lecture notes, assignments, and provided reading material

Kursens webbplats (är i kraft 01.08.2018-31.07.2020): 

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

Förkunskaper (är i kraft 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.

Bedömningsskala (är i kraft 01.08.2018-31.07.2020): 

0-5

Anmälning (är i kraft 01.08.2018-31.07.2020): 

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.

Tilläggsinformation (är i kraft 01.08.2018-31.07.2020): 

Language class 3: English

Beskrivning

Anmälning och tillläggsinformation