Crash Course in Statistics for Neuroscience Center Zurich, University of Zurich, Summer 2016 [2.5 credit points]
If you miss more than 3 h (half day) of Course, you don't get any CP's!
|June 27||0900-1200 & 1300-1600||Dr. Christoph Luchsinger||Theory||Y27 H35/36|
|June 28||0900-1200 & 1300-1600||Dr. Christoph Luchsinger||Theory||Y27 H35/36|
|June 30||0900-1200||Dr. Christoph Luchsinger||Theory||Y27 H35/36|
|July 1||0900-1200||Dr. Christoph Luchsinger||Theory||Y27 H35/36|
|July 4||0900-1200||Dr. Christoph Luchsinger||Theory||Y27 H35/36|
|July 4||1300-1600||Dr. Daniel Stekhoven and Dr. Adin Ross-Gillespie||Introduction to R||Y27 H35/36|
|July 5||0900-1200 & 1300-1600||Dr. Daniel Stekhoven and Dr. Adin Ross-Gillespie||Performing statistical analyses in R||Y27 H35/36|
|July 6||0900-1200 & 1300-1600||Dr. Daniel Stekhoven and Dr. Adin Ross-Gillespie||Diagnosis, visualisation & workshop||Y27 H35/36|
Aims of the Course: Participants...
We are going to omit (among other topics): descriptive statistics (important, read yourself, too time-consuming); Design of Experiments (important, too individual, too time-consuming, we touch some of it); Quality control
The way I teach: A script is online (below). Please print it out.
Therefore you are not going to lose time just copying from the blackboard or OHP. Instead, we are going to solve many
problems in class. For example, I will first motivate the term of "Mean" (or "Variance"), then give the definition, then I
solve 1 or 2 problems using this new statistical concept, then maybe one problem will be solved together in class, then you
have to solve some problems yourself. Finally, at the end of the day, there is time to solve additional exercises with me being
present in the class room. Teaching will be very interactively. I will omit almost all proofs!
The binomial distribution (a discrete random variable) and the normal distribution (a continuous random variable) will be treated broadly. We will present the theory of chapter 6 and 7 using the binomial and normal random variables.
Please bring light pens (Leuchtstifte) in the following three colours to the course: Blue="Structure", Red="Danger" and Green="important, learn by heart".
Contents / Downloads (Script):
First 5 chapters are a necessary, theoretical and mathematical basis; data and applications follow in chapters 6 - 10.
Summary chapters 1-5
Solutions to Exercises Chapters 1-5
Administration/Registration: Heidi Gauss, email@example.com, Tel. 044 635 33 82
Consulting hours: breaks; follow-up treatment (only topics treated in this course) via E-Mail and phone.
Literature: Script and in particular the following books:
Webmaster: Dr. Christoph Luchsinger / firstname.lastname@example.org