Teaching Activities of H. M. Bücker

Lectures for Graduate Students

• Introduction to High-Performance Computing
• Parallel Algorithms and Software for Iterative Methods
• Parallel Preconditioning Techniques for Linear Systems
• Algorithms for Simulation and Optimization of Physical Processes: From Ground Tomography to 3D-CAVE Visualization
• Automatic Differentiation in MATLAB
• Software Tools for Computational Science
• Combinatorial Scientific Computing
• High-Performance Matrix Computations

Lectures for Undergraduate Students

• Informatik I - Programmierung (Introductory programming course mandatory for all students enrolled in computer science in their first term)
• Einführung in die Informatik (Introductory computer science course for students enrolled in non-technical degree programs)
• Anwendungssoftware und Internet (Introductory computer science course for students enrolled in non-technical degree programs)
• Parallel Programming in OpenMP (elective course for students enrolled in computer science)
• Parallel Programming Models in the Simulation of Fluids (elective course for students enrolled in computer science)

Hands-on Software Labs

• Parallel Programming using Java (Threads, OpenMP, and MPI)
• Introduction to Parallel Programming with MPI
• Automatic Differentiation in MATLAB
• Software Tools for Computational Science
• Parallel Programming in OpenMP
• Parallel Programming Models in the Simulation of Fluids

Seminars

• Combinatorial Scientific Computing
• Graph Drawing
• Parallel Iterative Methods
• Java in Computational Science
• Program Transformations
• Generative Programming
• Problem Solving Environments for Parallel Computing