Stefan Donath - Course of studies

Here a list of the most important courses that are able to characterize the course of study.
Grades and more details as well as the basic lectures can be found in this PDF document.

 

Bachelor of Science in Computational Engineering
Friedrich-Alexander University Erlangen-Nuremberg

Technical Application Field: Design of Microelektronics
Relevant courses:
 - Design of Integrated High Performance ICs
 - Test of integrated circuits
 - VHDL
 - Signal Theory
 - Practical shortcourse in ASIC (specification, development and implementation of Ping-Pong on an FPGA)

Informatik-Vertiefung: High Performance Computing
Relevant courses:
 - High Performance Programming Techniques
 - Programming Techniques for Supercomputers

Other courses:
 - Simulation and Modeling
 - Seminar SystemC
as well as basic courses in electrical engineering, computer science, mathematics and numerics.

Freely chosen, additional courses:
 - Introduction to Business Administration
 - Introduction to Business Accountancy
 - Practical shortcourse in EMSY (constructing a microprocessor-based circuit which sends an SMS via Cell Phone)

Average grade: 1.9 (approximately equivalent to an 'A' average)

Bachelor-Thesis:
"On Optimized Implementations of the Lattice Boltzmann Method on Contemporary High Performance Architectures"
composed at the Regional Computing Center of Erlangen (RRZE)

 

Master of Science in Computational Engineering
Friedrich-Alexander University Erlangen-Nuremberg

Technical Application Field: Design of Microelektronics
Relevant courses:
 - Design of Mixed-Signal ICs
 - Layout
 - Practical shortcourse EMIX (specification, development and layouting of an amplifier with adjustable amplification)

Computer Science Field 1: Simulation
Relevant courses:
 - Numerical Simulation of Fluids
 - Simulation and Modeling II
 - Special Topics in Simulation

Computer Science Field 2: Hardware/Software CoDesign
Relevant courses:
 - Hardware/Software CoDesign
 - Reconfigurable Computing

Mathematics:
Relevant courses:
 - Numerical Methods for Partial Differential Equations
 - Multigrid Methods
 - Special Topics in Scientific Computing

Average grade: 1.0 (approximately equivalent to an 'A' average)

Master-Thesis:
"Power Optimization Techniques for Digital Integrated Circuits in Deep Submicron and Nanometer ASIC Technologies"
composed at Fraunhofer Institute for integrated circuits, Tennenlohe (FhG IIS)
 

Elite-Studies in Computational Science and Engineering
Bavarian Graduate School for Computational Science and Engineering
Elitenetzwerk Bayern

Soft skills courses:
 - Presentation, Speech, Moderation
 - Leading Yourself and Others
 - Jobline 'Blended Learning' Online Course
 - Communication Workshop

Scientific courses:
 - Special Topics in Multigrid
 - Summer Academy 2005 in Sarntal, Italy
 - An Introduction to the Numerical Simulation of Stochastic Differential Equations and Its Applications in Finance

Project work:
Optimization of a CFD code for complex geometries