Programming 2

This course covers advanced aspects of the C++ language applied to scientific computing, complemented 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 in hand scientific calculation codes from academia or industry.

C++ programming basics

Recommended prerequisites: Programming course in the first year of the Master's program.

An indicative course schedule is as follows

• Advanced type management: definition of user types, 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