Evolutionary Genetics
- Lecture: University of Basel - Evolutionary Genetics (LV25600-01)
- Dates: Fall Semester 24 (W39-W41 + W45-W51)
- Lecturers: Jean-Claude Walser / Julia Barth / Walter Salzburger
- Last Update: Thu, 22 August 2024
Welcome to the support page for the Evolutionary Genetics course! This page will be continually updated with new information, so please check back regularly.
As in previous years, we've carefully planned the course schedule to avoid overlapping classes. Please note that the course is divided into distinct segments: the first module, Bioinformatics (weeks 39-41), is followed by a three-week break before we dive into the next two modules, Population Genetics (weeks 45-47) and Molecular Evolution (weeks 48-50). In addition, Daniel Berner's lecture on speciation, scheduled for weeks 42-44, is a stand-alone session and is not part of the Evolutionary Genetics course.
Course Overview
Embark on a comprehensive journey through the fascinating world of bioinformatics, population genetics, and molecular evolution with our expertly designed course. Divided into three intensive three-week modules, this course provides a deep dive into key concepts and techniques essential to modern biological research.
Module 1: Introduction to Bioinformatics We'll start with a thorough introduction to bioinformatics, where you'll build a strong foundation in this rapidly evolving field. Emphasis is placed on mastering the Linux terminal - an important tool for bioinformatics analysis. You'll also learn the art of reproducible scripting, a critical skill for ensuring that your research can be reliably replicated and shared within the scientific community. This module sets the stage for the more advanced topics to come.
Module 2: Population Genetics Next, we move on to population genetics, a field that studies the forces that drive genetic variation and evolution within populations. In this module, you will gain a deeper understanding of concepts such as genetic drift, natural selection, mutation, and gene flow. Through hands-on exercises and real-world examples, you'll explore how these forces interact to shape the genetic structure of populations and provide insights into the mechanisms of evolution.
Module 3: Molecular Evolution In the final module, we delve into molecular evolution, exploring the complexity of genome composition and its dynamic nature over time. You'll examine how genomes evolve, the role of mutations, and the molecular mechanisms that drive evolutionary change. This module provides an overview of how life has diversified and adapted at the molecular level.
Class Format and Schedule
Our course is delivered in engaging, on-site sessions that encourage collaboration and active learning. Classes meet twice a week, every Tuesday and Thursday afternoon from 14:15 to 17:00. These sessions are held in the small lecture hall on the 1st floor of the Zoological Institute, Vesalgasse 1, providing an intimate setting conducive to discussion and in-depth exploration of topics.
Whether you're looking to build basic skills or deepen your understanding of advanced genetic principles, this course offers a rich and interactive learning experience designed to equip you with the tools and knowledge you need to excel in the field of biological research.
Course Start
- Tuesday, 24.09.2024 at 14:15 in the small lecture hall (1st floor), Zoological Institute, Vesalgasse 1
Modules
⦿ Population Genetics (W45-W47)
⦿ Molecular Evolution (W48-W50) (organized by Julia Barth & Walter Salzburger)
Course Marking
To successfully complete this course and earn your credit points, you'll need to attend all the modules and achieve a final grade of 4 or higher. Your final grade will be based on your performance throughout the course, with assessments during the modules making up one-third of your grade, and a written exam at the end counting for the remaining two-thirds.
Final Exam
Data: Tuesday, 17.12.2024
Time: 14:15 - 15:45
Location: small lecture hall
Help
Need help, noticed a typo, or have a suggestion? Great! Just send me an email (jean-claude.walser🥨usys.ethz.ch), and I'll be happy to assist.