| Lecture | Description | Semester |
|---|---|---|
| Statistical Analysis of High-Thoughput Genomic and Transcriptomic Data - STA426 | We will go through the most important statistical concepts employed in today’s High-Thoughput analysis methods, implemented as R packages. The student will propose and perform a project at the end of the course | Fall |
| Statistical Modelling - STA121 | Fall | |
| Introduction to Bionformatics I - BCH401 | In each lecture we give an overview of the main Bioinformatic tools currently used | Fall |
| Topics in Evolutionary Biology - BIO554 | Fall | |
| Modern Genetics and Genomics - BIO323 | Key concepts and methods in genetics will be taught. You will conduct genetic and molecular studies in model systems and analyse data using bioinformatic tools | Fall |
| Cancer Epigenetics - BIO255 (Block Course) | The lab gives a two week practical session along with other 5 different labs. The workload is divided in applying molecular biology techniques and a bioinformatic session | Fall |
| Practical Bionformatics - BIO334 (Block Course) | The lab gives a two week section of this course. We provide the student with the basics on performing straightforward data manipulations and statistical analyses in R | Spring |
| Data Analysis in Biology - BIO144 | This course is organized by the Petchey lab. Our lab provides support in the practical sessions | Spring |
For exact information on schedule, registration and location, please refer to the official UZH course catalogue
Other teaching activities are listed in members’ personal webpage or cv.