180124 VO+UE Tools in Cognitive Science II: Basic Statistics for Cognitive Scientists (2020S)
Continuous assessment of course work
Labels
Preparation Meeting: Mo 2. März 2020, 11:00
HS 2i d. Inst. f. Philosophie, NIG, 2. StockFirst Meeting Exercises: March 5th, 9:45 - meet at the porter's lodge in UZA IFurther Dates: Thursdays 9:45-13:00; Lecture 9:45-11:15 in HS 1, UZA1; exercises follow the lecture
HS 2i d. Inst. f. Philosophie, NIG, 2. StockFirst Meeting Exercises: March 5th, 9:45 - meet at the porter's lodge in UZA IFurther Dates: Thursdays 9:45-13:00; Lecture 9:45-11:15 in HS 1, UZA1; exercises follow the lecture
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).
- Registration is open from Th 20.02.2020 08:00 to Mo 02.03.2020 23:59
- Deregistration possible until Tu 31.03.2020 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes
Thursday 9:45-12:30
First Meeting Exercises: March 5th, 9:45 - EDV-Raum 2 Ökologie Biozentrum Z1.023 EG Z1.023 (meet at the porter's lodge in UZA I)
First lecture: March 12, 2020
Information
Aims, contents and method of the course
Assessment and permitted materials
UPDATE Due to the exceptionnal situation related to the covid crisis, course work will be evaluated by continuous assessment only. The final grade consists of homework exercises about theoretical and practical aspects. No final exam will take place.
Minimum requirements and assessment criteria
UPDATE Minimum requirements for passing the course:
- Homework assignements about the theoretical part (50%)
- Homework assignements about the practical part (50%)
The final grade consists of a combination of the above mentioned evaluation criteria (percentage in parentheses).
- Homework assignements about the theoretical part (50%)
- Homework assignements about the practical part (50%)
The final grade consists of a combination of the above mentioned evaluation criteria (percentage in parentheses).
Examination topics
Reading list
Association in the course directory
Last modified: Th 28.01.2021 16:09
The practical part should foster the understanding of theoretical concepts via basic examples from different research fields (mainly biology related research topics). We will try to "produce" our data, visualize and analyze them.
Expectations and learning outcomes from the practical part:
- overview of the plethora of statistcal methodologies
- use of different statistical programs (SPSS, R, R Studio)
- Scientific visualization in practice
- Applied scientific reasoning and critical discussion of their statistical methodologies for scientific research