Summer Semester 2015
Joachim Heberle (FU)
Title: Advanced biophysics
Description: This module will present and substantiate biophysical methods and concepts. Selected methods like spectroscopy and diffraction and their application to proteins, nucleic acids and biomembranes are of particular relevance. The lecture series will cover a selection of the following methods: absorption spectroscopy in the UV, visible and IR region; fluorescence spectroscopy, time-resolved approaches; spectroscopy with linear and circular polarized light; vibrational spectroscopy: Fourier-transform infrared (FTIR), resonance Raman, surfance-enhanced Raman and IR; diffraction with X-rays, Neutrons and electrons; crystallization and protein crystallography; nuclear magnetic resonance (NMR); light scattering; single molecule spectroscopy; optical tweezer; atomic force microscopy; theoretical methods: MD simulations, Poisson-Boltzmann, QM/MM. The lecture series is accompanied by a practical course of 8 biophysical experiments.
Place: FU Berlin, FB Physik, Hörsaal A (Arnimallee 14), laboratories for Exp. Molecular Biophysics (Prof. Heberle)
Duration: 4 SWS (Di 12:00 h -14:00 h, Fr 12:00 h -14:00 h) / start on April 15th
David Bleger (HU)
Title: Supramolecular Chemistry
Description: the course covers the basic principles of supramolecular chemistry and the self-assembly/organization of small molecules and macromolecules, with an emphasis on materials science (supramolecular polymers, liquid crystals, organic electronics,...). The course is divided between regular lectures and seminars, which consist in the detailed discussion of a particular paper covering the topic studied during the week.
Location: Adlershof Campus, Walter-Nernst-Haus, Newtonstr. 14, 12489 Berlin
Duration: 2hrs/week (Mondays and Fridays, 11:00 -12:00)
Daniel Varon Silva (MPIKG)
Title: Carbohydrate chemistry and biology
Description: In this course the students learn about the chemical synthesis and biological functions of carbohydrates and carbohydrate-containing molecules. After finishing the course, the students will be able to design the chemical synthesis of complex and rare carbohydrates and to identify the appropriate methods to characterize the products. Furthermore, the students will know about the biosynthesis of carbohydrates and how to use common enzymes for their preparation and modification. Different types of glycoconjugates will be familiar to the students as well as the relevance of carbohydrate-protein interactions and different methods for their analysis.
Location: FU. Contact: Daniel.Silva@mpikg.mpg.de
Ralph Graef (UP)
Title: Cell biology for life scientists
Location: Haus 26, Room 0.65 Uni-Potsdam
Duration: Every Wednesday 4 to 5.30 pm starting April 15
Davide Chiarugi (MPIKG)
Title: Statistical data analysis and quantitative information theory
Description: In this course we will discuss about some statistical frameworks that are useful for (biological) data analysis. We will start reviewing the basic notions about probability theory and stochastic processes. Then, we will explore some statistical methods for representing the main features of the experimental datasets and for establishing to which extent a given dataset is consistent with a given model or hypothesis. To this aim, we will resort also on some concepts coming from quantitative information theory, e.g. the (relative) entropy of information and the mutual information.
During the accompanying tutorials, we will deal with the application of the acquired knowledge to datasets shaped for resembling experimental outcomes. To this aim, it is requested to the students to be equipped with a laptop with the ''R'' software environment installed.
Location: MPIKG, Theory Seminar Room, Monday 10:30 - 12:30 starting April 20 (dates for the tutorials will be discussed in the class). Contact: firstname.lastname@example.org
Reinhard Lipowsky, Sophia Rudorf (MPIKG)
Title: The complex interrelation between data and models
Description: In this seminar we will discuss errors/uncertainties in experiments, how to obtain models from data via probabilities and likelihoods, different types of statistics, and much more.
Location: MPIKG, Theory Seminar Room every Wednesday at 11 a.m. (first meeting on April 22). Contact: email@example.com