So2021 Scientific Programming with C++

The focus of this module lies on aspects of software development like programming on high-performance computers, object-oriented software design, generic (template-based) programming, and the efficient implementation of numerical algorithms. Additionally experience in analysis, application and extension of software and software libraries is developed. This module in the winter term especially focuses on software development with the programming language C++.

This course is for students of Mathematics, Technomathematics, and Mathematics in Business and Economics as well as for students in the masters programs "Computational Modeling and Simulation" (CMS) especially for the specialization in Computational Mathematics.

Three main learning goals can be formulated:

• You know how to program with modern C++, using generic programming and advanced techniques, like meta programming, expression templates, and concepts.
• You know how to use programming tools and you can apply these tools to debug, benchmark, and manage your code. The list of tools include compilers, build systems, version control, debuggers, and profilers.
• You can read, understand, and utilize (scientific) software libraries, like BLAS (Basic Linear Algebra Subroutines), LAPACK (Linear Algebra Package), STL (Standard template library), Dune (framework for the discretization of partial differential equations), MTL4 (Matrix Template Library), Boost (portable C++ library).

There are exercises every week to practice the C++ programming. During the semester programming projects in groups are assigned. Important parts of the exercises are reviews of C++ code. You will get reviews for your own written code and have to perform reviews of the code of others in the course.

Registration

The number of participants in this course is limited. It is therefore required to register for this module. Please sign up for the learnign group and module in OPAL. Material for the lecture and execises if provided after registration.

Links to the Course

OPAL: So2021 Scientific Programming - Advanced Aspects
Selma: Scientific Programming - Advanced Aspects