The course, held from May 21 - 24, 2018, will be given by Tomas Helikar (University of Nebraska, Lincoln, Nebraska, USA).
The course aims at immersing life sciences students into the field of computational modeling of biochemical and biological network systems and their complex dynamics. Students will learn about network processes in living organisms and computational methods hand-in-hand on a number of examples of biological and biochemical systems (e.g., regulation of bacterial chemotaxis, signal transduction, etc.).
A large focus will be on signal transduction and the immune system. We will discuss how computational modeling has been used to characterize the mechanism of signal transduction networks governing the differentiation process of T cells into effector cells. Students will construct, simulate, and analyze their own comprehensive computational model of signal transduction and gene regulation involved in T cell differentiation.
In the second part of the course, students will learn the core concepts of the logical modeling frameworks used to model and simulate the dynamics of large-scale biological processes. They will learn how to describe and depict regulatory mechanisms of a biological component (gene, enzyme, etc.).
No prior math or computer science classes are required!! 

See Information page for more detailed description and Programme of the course.

The course site:
University campus Bohunice, Kamenice 5, Brno, Czech Republic
The lectures and exercises will be held in computer room 1.18 in A4 building.

Registration is required to attend the course. Please, register as soon as possible - the number of participants is limited by the size of the computer room (i.e. 22 seats).
Students of Masaryk University can get 2 credits for participation in the course.
The course exists in IS MU under the code IC178.
Note: Do not enroll the course in IS, that will be done manually after you finish the course.