Lecture “Advanced Methods in Computational Sciences”

The two-semester lecture (34846/ 36611) for doctoral and advanced MSc students related to Computational Sciences takes place every Tuesday, 2:15pm to 4pm, in the small lecture hall (4.04) of Physikalische Chemie, Klingelbergstrasse 80. From 1:15pm to 2pm, the computer room (2.11) on the ground floor of Physical Chemistry is available for work or exercises.

Performance review: In order to receive credit points for the two-semester lecture, all lectures must be attended!
You can earn 6 credit points after having attended the spring and fall semester part of the lecture.

Fall semester 2019

Date Lecturer Topic
17-09-2019

Rubén Cabezón

Introduction/ Programming in Fortran
24-09.2019 Rubén Cabezón Introduction/ Programming in Fortran
01-10-2019 Dennis Tröndle
Helmut Harbrecht
Introduction to Matlab
08-10-2019 Rubén Cabezón sciCORE in a nutshell & parallel computing / OpenMP
15-10-2019 Rubén Cabezón Smoothed Particle Hydrodynamics
22-10-2019 Rubén Cabezón Smoothed Particle Hydrodynamics
29-10-2019 Rubén Cabezón Smoothed Particle Hydrodynamics
05-11-2019 Stefan Goedecker Optimization
12-11-2019 Stefan Goedecker Optimization
19-11-2019 Stefan Goedecker Optimization
26-11-2019 Stefan Goedecker Optimization
03-12-2019 Helmut Harbrecht Numerical Methods of Partial Differential Equations
10-12-2019 Helmut Harbrecht Numerical Methods of Partial Differential Equations
17-12-2019 Helmut Harbrecht Numerical Methods of Partial Differential Equations

Spring semester 2020

Date Lecturer Topic

19-02-2020

Mihaela Zavolan  
26-02-2020    
03-03-2020 Fasnacht – no lecture
10-03-2020 Martin Steinhauser Monte Carlo Simulations
17-03-2020 Martin Steinhauser Monte Carlo Simulations
24-03-2020 Martin Steinhauser Monte Carlo Simulations
31-03-2020    
07-04-2020 Erik van Nimwegen  
14-04-2020 Florina Ciorba  
21-04-2020    

28-04-2020

Richard Neher  

05-05-2020

   
12-05-2020    
19-05-2020 Anatole von Lilienfeld Machine Learning in Atomistic Simulations
26-05-2020 Anatole von Lilienfeld Machine Learning in Atomistic Simulations

Past lecture cycle

AMiCS 2018/19