The notes are taken from the books required for the course:

• Course slides

📚 Course Syllabus

According to the official course syllabus:

• An overview of computing tools:
  1. An overview of the C++ language, focusing on its functional components;
  2. Message passing paradigm: parallel programming using MPI, with examples;
  3. Shared memory paradigm: parallel programming with openMP, with examples;
  4. Main libraries for scientific computing.
• The development of numerical software: some examples of topical numerical methods will be selected, explained, and solved by the students under the guidance of the instructors. Possible examples include:
  1. Solving non-linear systems of equations;
  2. Dynamical systems;
  3. Multidimensional numerical quadrature;
  4. Methods for numerical optimization.

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