Programming 2

This course covers advanced aspects of the C++ language applied to scientific computing, supplemented by a presentation of pre/post-processing tools, modern collaborative work tools (version managers), and non-regression tools (test managers).

Be able to implement from scratch or take charge of scientific calculation codes from academic or industrial environments.

C++ Programming Basics

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

An indicative course schedule is as follows

• Advanced type management: user type definition, inheritance, operator overloading, templates, functors, lambda functions
• Advanced programming techniques: metaprogramming, generic programming, lazy evaluation.
• Presentation and use of software engineering tools (design patterns) in a scientific computing context
• Modern C++ libraries: STL, boost, Eigen, Gtest

Hourly volumes:

            CM:30

            TD: 0

            TP: 0

            Land: 0