Computing
Computational Scientific Modeling
Computational Scientific Modeling is the modern manifestation of the basic principle of science: Abstraction and Evaluation. Today, the evaluation of realistic models is computer based. Different members of the group have a solid basis in modern programming languages, high performance computing, statistics, discrete mathematics, bioinformatics, differential equations and numerical analysis. The group works on interdisciplinary projects within the faculty of natural sciences and in collaboration with renowned international research centers and universities. Members of the group established a portfolio of solutions for industrial applications.
People
| Jørgen Bang-Jensen | Professor | jbj @ imada.sdu.dk |
| Marco Chiarandini | Associate Professor | marco @ imada.sdu.dk |
| Kristian Debrabant | Associate Professor | debrabant @ imada.sdu.dk |
| Rolf Fagerberg | Associate Professor | rolf @ imada.sdu.dk |
| Yuri Goegebeur | Associate Professor | yuri.goegebeur @ stat.sdu.dk |
| Daniel Merkle | Associate Professor | daniel @ imada.sdu.dk |
| Claudio Pica | Assistant Professor | pica @ cp3.dias.sdu.dk |
| Achim Schroll | Professor | achim @ imada.sdu.dk |
| Peter Schneider-Kamp | Assistant Professor | petersk @ imada.sdu.dk |
Group Leader
Achim Schroll
Bachelor Courses
Calculus I+II; Linear Algebra; Hilbert and Banach spaces; Convex analysis; Differential Equations; Numerical Analysis A+B; Statistical Modeling and Simulation; Computational Statistics; Generalized Linear Models; Multivariate Statistics; Programming A+B; Linear and Integer programming.
Bachelor Projects
Computational Scientific Modeling.
Graduate Courses and Independent Studies
Finite Volume Methods for Conservation Laws; Combinatorial, Constraint and Multiobjective Optimization; Machine Learning and Artificial Intelligence; Metaheuristics; Extreme Value Statistics; Quantum Field Theory; Parallel Computing; Advanced Concepts in Programming Languages; Network programming; Bioinformatics; Cheminformatics, I/O-Efficient Algorithms and Data Structures; Probability Theory II.
Master Project
Simulation of Shockwaves; Computational Studies in Geo—and Life Sciences; Algorithm Portfolios; Optimal Solutions to Real-Life Problems; Automatic Calibration of Parameters; Timetabling Applications; Analysis of High Dimensional Data; Verification of Parallel Programs, Cache-Aware and Cache-Oblivious Algorithms for Massive Data Sets; Numerical Solution of Stochastic Differential Equations.
Post-graduate and PhD Studies
Computational Conservation Laws; Automatic Calibration of Scientific Models; Scheduling, Timetabling and Routing; Graph Algorithms; Real-Life Optimization; Order Statistics; Lattice gauge theories; Parallelizing Compilers; Parallel Algorithms; Bioinformatics, Cache-Aware and Cache-Oblivious Algorithms for Massive Data Sets; Numerical Solution of Stochastic Differential Equations.