180124 VO+UE Tools in Cognitive Science II: Basic Statistics for Cognitive Scientists (2020S)
Prüfungsimmanente Lehrveranstaltung
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
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 20.02.2020 08:00 bis Mo 02.03.2020 23:59
- Abmeldung bis Di 31.03.2020 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
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
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
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.
Mindestanforderungen und Beurteilungsmaßstab
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).
Prüfungsstoff
Literatur
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Do 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