Crash Course in Statistics for Neuroscience Center Zurich, University of Zurich, Summer 2023

[2 credit points]


If you miss more than 3 h (half day) of Course, you don't get any CP's!

Time:

Date Time Lecturer Subject Venue
August 21 0900-1200 Dr. Christoph Luchsinger Theory Y03 G-85 (Irchel-Campus)
August 22 0900-1200 Dr. Christoph Luchsinger Theory Y03 G-85 (Irchel-Campus)
August 23 0900-1200 Dr. Christoph Luchsinger Theory Y03 G-85 (Irchel-Campus)
August 24 0900-1200 Dr. Christoph Luchsinger Theory Y03 G-85 (Irchel-Campus)
August 25 0900-1200 Dr. Christoph Luchsinger Theory Y03 G-85 (Irchel-Campus)
August 28 0900-1200 und 1300-1600 Servan Grüninger Applications (in R) Y03 G-85 (Irchel-Campus)
August 29 0900-1200 und 1300-1600 Servan Grüninger Applications (in R) Y03 G-85 (Irchel-Campus)
August 30 0900-1200 Servan Grüninger Applications (in R) Y03 G-85 (Irchel-Campus)

Lecturers:

Aims of the Course: Participants...

  1. have basic knowledge of probability theory
  2. can solve simple statistical problems without help
  3. can reconstruct the train of thought of correct solutions to more complicated problems and adapt them to their own problems with same structure
  4. have basic knowledge of statistics, enabling them to familiarize themselves with more advanced topics in the literature given below
  5. have R-Documentation to methods treated (no complete introduction!)
  6. see limitations of statistical reasoning

The way this course is taught

This course will be split into a theoretical part (22 to 26th of August) taught by Christoph Luchsinger and an applied part (29th to 31st of August) taught by Servan Grüninger.

How to prepare for the applied part:

Contents / Downloads (Script):

! old version - do not download yet !

Christoph Luchsinger

Exercises - to be handed in by midnight each day

Solutions

Servan Grüninger

All material for the practical part can be found under the following link: www.servangrueninger.ch/znz22 (from the 26th of August onwards)

Prerequisites:

Administration/Registration: Heidi Gauss, hgauss@neuroscience.uzh.ch, Tel. 044 635 33 82

suggested Literature and preparation: Script and in particular the following books:

Links:


Webmaster: Dr. Christoph Luchsinger / chris@acad.jobs