Curriculum

The curriculum of the IMPRS consists of scientific/technical courses, soft-skills and transferable skills courses, and internal workshops.

Winter Semester 2021/2022

IMPRS Lecture Series

Various lecturers

 

The IMPRS Lecture Series covers the broad spectrum of topics involved in the IMPRS and offers short tutorials on these topics.

The preliminary list of speakers is the following:

  • Dec. 6: Oren Moskovitz
  • Dec. 13: Cecile Bidan
  • Dec. 20: Angelo Valleriani
  • Jan. 10: Heiko Moeller
  • Jan. 17: Oliver Dumele
  • Jan. 24: Ralph Graef
  • Jan. 31: tba
 Each lecture starts at 11am and ends at 12:30pm.

Cell and Tissue Mechanobiology

Cecile Bidan (MPIKG-BM)

Cell biology for life scientists

Ralph Graef (Uni Potsdam, Biology)

Please contact Prof Ralph Graef to register for the course.

The course is delivered also in form of a podcast.

Interested students can also attend the literature seminar on every Tuesday from 4pm to 5:30pm about "Cell Biology of the Centrosome and the Nuclear Envelop".

 

Introduction to Applied Statistics

Angelo Valleriani (MPIKG)

Statistics is a must-needed set of tools in experimental sciences. In almost every study, methods from statistics are necessary and their justification is required for a good level publication. Despite the availability of a number of powerful and sophisticated software, it is not always obvious what analysis approach is needed in any particular case if one does not have an introductory level background in the matter. This compact course will cover a few of the fundamentals in statistics.
 
The course will cover methods for estimating means and proportions by defining and computing confidence intervals. We will discuss methods for hypothesis testing for means and proportions using rejection region, p-value and confidence interval approaches. We will see how to use simple non-parametric and resampling methods, including ANOVA and simple linear regression.
 
In this course, we won't cover much of the mathematics behind the statistics but focus on examples and intuition. The course won't refer to any particular software but people used to work with any given software are welcome to use it in order to solve the exercises.
 
Everyone interested is welcome to join. This course will be available online only and will be delivered live in a compact form, for three days in the row, five hours per day around end of February. Registration to attend this course is compulsory. A registration site will be available here.
 
 

Computerphysics

Roland Netz (FU-Physics)

The course is in German. Please contact Prof Roland Netz for further details.

 

Die Vorlesung  ist nach dem Studienplan für das 5. Semester vorgesehen und wird daher nur im Wintersemester angeboten. Der Übungsschein ist auch anrechenbar auf die Anforderungen eines Nebenfachstudiums Informatik sowie für die anwendungsorientierte Informatik im Hauptfachstudium Informatik. Vorlesung, eigenständige Entwicklung von Computerprogrammen in kleinen Gruppen, Übungsgruppen, in denen technische Details diskutiert und die selbst geschriebenen Computerprogramme besprochen werden.  

  • Fehlerarithmetik
  • Funktionen und Nullstellen
  • Lineare Gleichungssysteme
  • Interpolation und approximative Darstellung von Funktionen
  • Spektralanalyse, Fourier-Transformation
  • Numerische Integration, Monte-Carlo Integrationsmethoden
  • Gewöhnliche und partielle Differentialgleichungen, Eigenwertprobleme
  • Monte-Carlo-Simulationen, random walks
  • Integration von Bewegungsgleichung, Molekulardynamik Simulationen
  • Netzwerktheorie, Gitterautomaten