# Modules for [Scientific Computing]

The latest module handbook, Summer 2015, is now available at the faculty website.

Please note:

- the database that we use for this web site currently does not hold all modules from the module handbook
- not all modules are offered by the university each term - modules offered for for the current term can be found in the LSF pages of Heidelberg University.

# Online module database (as of summer 2015)

## Handbook: [SciComp MSc] - [2015 Sommer]

### Courses In Computer Science

[IAGM] Computational Geometry[ICG1] Computer Graphics 1

[ICG2] Computer Graphics 2

[IDB1] Datenbanken 1

[IEA1] Efficient Algorithms 1

[IEA2] Efficient Algorithms 2

[IGMA] Geometric Modeling and Animation

[IGWV] Introduction to Scientific Visualization

[IKDD] Knowledge Discovery in Databases

[IKI] Artificial Intelligence

[IMIP] Mixed Integer Programming

[IOAB] Object Recognition and Image Understanding

[IOPWR] Object-Oriented Programming for Scientific Computing

[IPHR] High-Performance Computing

[IPLGG] Parallel Solution of Large Linear Systems

[IRA] Randomisierte Algorithmen

[IRDB] Spatial Databases

[ISV] Scientific Visualization

[IVCH] Visualization in Cultural Heritage

[IVNT] Visualization in Natural Sciences and Engineering

[IVS1] Distributed Systems I

[IVV] Volume Visualization

[MScTI INTROHPC] Introduction to High Performance Computing

### Courses In Mathematics

[MG10] Complex Analysis II[MG15] Differential Geometry I

[MG16] Differential Geometry II

[MG19] Computer Algebra I

[MG20] Computer Algebra II

[MG31] Fundamentalgruppen algebraischer Kurven

[MG9] Complex Analysis I

[MH1] Nonlinear Functional Analysis

[MH10] Special topics in Numerics

[MH12a] Statistics II

[MH12c] Statistical Forecasting

[MH13a] Probability Theory II

[MH13c] Spatial Stochastic Processes

[MH27] Implementation of numerical methods for partial differential equations

[MH3] Partial Differential Equations II

[MH30] Fundamentals of Computational Environmental Physics

[MH31] Optimization with PDEs: Parameter Estimation and Optimal Experimental Design

[MH5] Numerical Linear Algebra

[MH6] Numerical Analysis of Ordinary Differential Equations

[MH7] Numerical Analysis of Partial Differential Equations

[MH8] Numerische Optimierung bei Differentialgleichungen

[MH9] Numerical Methods in continuum mechanics

[MH9a] Numerical Methods in fluid dynamics

### General Modules

[PR1] Advanced Software Practical[SCAP] Field of Application

[SCMa] Master Thesis