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TU Berlin

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Quality and Usability Seminar

(2 SWS/3 LP; SoSe/WiSe mit wechselndem Thema)
LV-Nummer: 0434 L 905

Zeit: Tuesdays 14:00-16:00, starts 22.10.
Raum: TEL 20 Auditorium 1, except 19.11.2019: TEL 209
Contact: babak.naderi[at]tu-berlin.de
8 to 16

Topic: Statistics

How to apply?

Take part in the first meeting.

Sprache: English


Do you love statistics? Either you answer yes or no, this seminar could be interesting for you.

The aim of this seminar is to introduce statistical methods, which are commonly used in the Human-computer Interaction (HCI) research, to students from practical perspective. At the end of this seminar, students should be able to select appropriate statistical methods, for the given research question, and understand the implications and limitations of various methods.

This course will not contain heavy details about math, rather we focus on how and when to use methods already provided by statistical packages.

We cover following topics: basics on research and experiment design, data visualization, data screening, testing associations, prediction models and common statistical tests.

During this course, we introduce each topic and provide couple of datasets from real research questions. You will apply the concept on each dataset using a statistical package (Python, R, MATLAB, SPSS), report the results, and write a wiki guide using the samples. Students work in groups, deliver home works, and make a final presentation.

This course is recommended to students who want to write a thesis at our chair or are interested to scientific carrier. Note that, although we take examples from HCI domain, the topics covered in this course are fundamental statistical methods useful in many applications in computer science.



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