5-20 May 2020
Zoom
Europe/Berlin timezone

Registration deadline: 16 April 2020

AIM OF THE COURSE: Experimental data is always corrupted by noise. Drawing conclusions from data therefore demands for suitable statistical methods. In this course, students will learn basic statistical concepts for analyzing and interpreting their own experimental data.

Block 1: Lectures 1 – 4 + tutorial 1 + lab will cover basic concepts of statistical inference including the t-test, the chi-squared test and linear regression. The three-hour practical will involve real world experimental data and analyzing them with the techniques discussed in the class.

Block 2: Lectures 5 – 7 + tutorial 2 are more advanced (and optional). They will cover random variables and statistical models.

LEARNING OUTCOME: Students will understand the basics of statistical inference. They will be able to apply the acquired skills to analyzing and interpreting real world experimental data.

The number of participants is limited to 20. The course is open for DIPP PhD students and CBG Postdocs.

We will inform you after 17 April 2020 whether a slot in the course could be assigned to you!

Starts
Ends
Europe/Berlin
Zoom

LECTURER: Christoph Zechner, CSBD/MPI-CBG

BLOCK 1 – Basic Concepts of Statistical Inference

Tue 5 May 2020, 11:00 - 12:00       

Lecture 1: Mean, SD, SEM and presentation of data

Thu 7 May 2020,11:00 - 12:00       

Lecture 2: Student’s t-test

Fri 8 May 2020, 11:00 - 12:00

Lecture 3: Assumptions behind the t-test

Tue 12 May 2020, 11:00 - 12:00

Lecture 4: Chi-squared and linear regression

Wed 13 May 2020, 11:00 - 12:00: Tutorial 1

                               14:00 - 17:00: Lab: Statistical inference on experimental data

BLOCK 2 – Advanced Concepts of Statistical Inference

Fri 15 May 2020, 11:00 - 12:00

Lecture 5: Probability, random variables and expectation

Fri 15 May, 12:00 - 13:00

Lecture 6. Examples of RVs; probability distributions

Wed 20 May 2020, 11:00 - 12:00: Lecture 7. Non-parametric tests; Bayesian approaches

                               14:00 - 15:00: Tutorial 2

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