Programming 2

This course covers advanced aspects of the C++ language as applied to scientific computing, supplemented by an introduction to pre- and post-processing tools, modern collaborative work tools (version control systems), and non-regression testing tools (test management systems).

Be able to implement scientific calculation code from scratch or take over existing code developed in academic or industrial settings.

Basics of C++ Programming

Recommended prerequisites: Programming courses from the first year of the master's program.

A sample course schedule is as follows:

• Advanced Type Handling: User-Defined Types, Inheritance, Operator Overloading, Templates, Functors, Lambda Functions
• Advanced programming techniques: metaprogramming, generic programming, lazy evaluation.
• Introduction to and Use of Software Engineering Tools (Design Patterns) in the Context of Scientific Computing
• Modern C++ Libraries: STL, Boost, Eigen, Gtest

Hourly volumes:

            CM: 30

            TD: 0

            TP: 0

            Land: 0