Description
Scientific Computing with C++ — Part 1
This foundational C++ programming course takes you from the basics to writing efficient, structured, and simulation-ready programs. It is designed for engineers and scientists who want to apply coding to CFD and numerical simulations. The lessons gradually build your programming base and connect directly to high-performance computing and solver development.
You’ll begin with the core principles of C++—variables, loops, conditionals, and functions. As you progress, you will move on to advanced concepts such as pointers, memory management, data structures, and object-oriented programming. Each topic is explained through real examples from scientific and engineering problems. Consequently, the course feels practical and highly relevant compared to a general programming class.
In Part 1, you will focus on developing a solid foundation and understanding how C++ powers simulation tools such as OpenFOAM and ANSYS Fluent through UDFs. Furthermore, the course prepares you for advanced applications in Part 2, where you will explore numerical methods, file handling, data processing, and parallel programming for HPC. In addition, you’ll learn to think computationally and apply programming logic effectively to engineering problems.
What You’ll Learn in this C++ part-1 course
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Over 35 structured video lessons with step-by-step guidance.
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Practical coding exercises for scientific computing.
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Mini-projects linking theory to real engineering applications.
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A supportive learning community with feedback from CFD solver developer and C++ experts
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Quizzes and assignments to strengthen understanding and measure progress.
Instructor:
Nishant Soni, M.S. (Engg.), HPC (JNCASR, Bangalore) — HPC specialist and scientific programmer with deep experience in computational physics and performance-optimized simulation.
Thousands of learners — from students to professionals — have completed this C++ course and built their programming foundation for CFD and HPC. Moreover, many continued to C++ Part 2 to gain deeper expertise in scientific computing. As a result, this program has become a trusted pathway for simulation engineers seeking structured, applied coding knowledge.
The reviews speak for themselves — this course is a benchmark in scientific computing education.
