Universität Wien
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180159 VO+UE Tools in Cognitive Science II: Basic Statistics for Cognitive Scientists (2026S)

5.00 ECTS (2.00 SWS), SPL 18 - Philosophie
Continuous assessment of course work

Notice from the Director of Studies (SPL) Philosophy:

Submitting texts written entirely or partially by an AI tool (e.g., ChatGPT) as proof of academic performance (e.g., a seminar paper) is only permitted if this has been explicitly approved as a possible working method by the course instructor. Even in such cases, directly or indirectly cited passages must be clearly indicated with proper references.

To verify authorship of a submitted written assignment, the course instructor may require you to complete a graded oral discussion (plausibility check).
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 04.03. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 11.03. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 18.03. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 25.03. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 15.04. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 22.04. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 29.04. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 06.05. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 13.05. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 20.05. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 27.05. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 03.06. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 10.06. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 17.06. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00
  • Wednesday 24.06. 09:45 - 11:15 Seminarraum 6, Kolingasse 14-16, EG00

Information

Aims, contents and method of the course

The learning goals of the course are a fundamental and intuitive understanding of basic statistical concepts, including but not limited
* the sample space,
* combinatorics,
* discrete and continuous random variables and their distributions,
* the central limit theorem and the normal distribution,
* estimators,
* hypothesis testing, and
* causality.

Assessment and permitted materials

The course assessment includes four homework assignments and one final exam. The homework assignments need to be prepared for the four tutorial sessions, during which students are asked to present solutions to individual exercises on the board.

Permitted materials for the final exam are a double-sided, handwritten A4 page and a non-programmable calculator.

Minimum requirements and assessment criteria

The final exam counts for 60% of the final grade and each homework assignment counts for 10%. Grading is done according to the following scheme:

Point percentage : Grade
90%--100%: 1
77%--89%: 2
64%--76%: 3
50%--63%: 4
<50%: 5

Course attendance is not mandatory, but strongly recommended to pass the course.

Examination topics

The final exam comprises the entire content covered in the context of class. Any information, material, or resource that has been accessible, provided and/or created in the context of class can be used during the exam.

Reading list

* All of Statistics. Larry Wasserman, Springer, 2005.
* Statistical Data Analytics. W.Piegorsch, Wiley 2015.
* Statistik: Der Weg zur Datenanalyse. L. Fahrmeier, C. Heumann, R. Künstler, I. Pigeot, G. Tutz. Springer, 2016.
* Mathematics for Machine Learning, M.P. Deisenroth, A.A. Faisal, and C. Soon Ong. Cambridge University Press, 2020.

Association in the course directory

Last modified: Tu 03.03.2026 10:26