Course Contents

Goal

The school provides a comprehensive and intuitive introduction to computational and algorithmic approaches to biological systems. Emphasis is placed on concepts, and jargon is avoided to the extent possible. Concepts will be demystified and explained intuitively through practical applications and hands-on experience.

Educational outcomes

The focus on biological systems is intended to allow participants to:

  • Transfer computational and theoretical knowledge to the life sciences
  • Identify and tackle challenges from big data to prediction in complex, multi-scale systems
  • Further develop their trans-disciplinary communication and learning skills
  • Formulate clear project and design data- and model-based approaches to them.
  • Get hands-on insight to emerging techniques from machine learning, artificial intelligence, visual computing, and scientific computing

Methods

In small interdisciplinary groups, participants carry out a research project throughout the whole week. The project is proposed and supervised by the school teachers, with the aid of tutors who help the groups and guide them with data.

In addition to lectures and project work, we host a series of evening talks by distinguished scientists from various fields related to systems biology. These talks are intended to provide an overview of the breadth of the field also beyond the specific topic of the school.

Poster Session

An initial poster session will be hosted in order for the participants to familiarize themselves with each other’s previous work and current research interests.

Posters (maximum size A0) may include information about any completed or ongoing research, regardless of the discipline or subject. Content may originate from Internship, Bachelor, or Master projects. Posters may also include personal background information (e.g. your origin, course of study, experiences, interests and/or motivation to join the school). We do not require any particular formatting - be creative!

Dresden Summer School

in Systems Biology

10 - 17 August 2019

Apply until 28 April

 

Stay tuned for information on future events!