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Course Description:
This course is a comprehensive exploration of the C++ programming language, with a special focus on its applications in the realm of scientific computing.
Part 1: Foundations of C++ Procedural Programming (Modules 1-5)
We begin with the foundations. In Modules 1 to 5, we’ll build a strong base of procedural programming in C++. We’ll cover the essentials, from program structure and variables to decision-making and loops. You’ll dive into input and output handling and learn how to supply input data to your C++ program and process the output both through the console (terminal) and file operations. In Module 5, you will learn the power of pointers and dynamic memory allocation for efficient memory management.
Part 2: Object-Oriented Programming for Scientific Computing (Modules 6-10)
Once you’ve mastered the basics, we’ll transition to Part 2. In Modules 6 and 7, we’ll delve into the heart of object-oriented programming. You’ll explore classes, objects, inheritance, and polymorphism. These concepts are the building blocks for organizing your scientific computing code.
Module 8 is where we’ll introduce you to advanced C++ features and the Standard Library. Templates and pre-built functions will become your allies as you tackle complex scientific challenges.
As we move forward, Modules 9 and 10 are all about applying what you’ve learned. In Module 9, you’ll develop a collection of classes for linear algebra calculations. Then, in Module 10, we’ll guide you through constructing an object-oriented library for solving second-order differential equations—essential skills for simulating real-world scientific phenomena.
This course is Part 1. In the course CPP2, the concepts of Part 2 will be discussed.
Key information:
- Course Instructor: Mr. Nishant Soni. He has a master’s degree in engineering [M.S. (Engg.)] focused on high-performance computing (HPC) from the Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore. He has worked as an Applications Engineer (CFD and Heat Transfer) at COMSOL Multiphysics, Bangalore in India. Prior to joining COMSOL, he worked in the field of software development, specializing in HPC simulation solutions. He has also worked on several research projects involving high-speed unsteady aerodynamics and reduced-order modeling.
- Course content: 5 Modules- 36+ Lessons along with quizzes and challenges/assignments
- Doubt clearance: Email support.
- Discussion forum: A discussion forum to discuss any topics with fellow students and the instructor
- Total access period: 12 Months from the day of enrolling
- Computer requirement: Minimum 4 GB RAM and i3 processor
- Software: GNU C++ Compiler (g++) for Linux preferred. You can also use Windows.
- Access to the course: Once you make the payment, your login ID and password will be sent automatically via email.
More Information
- Learn and master C++ programming for scientific computing applications
- Implement academic projects in C++ for your M.S. / Ph.D. thesis and also for any industrial projects.
- Write your own solver/modify the source code for OpenFOAM
- To be competent in the highly demanding field of scientific computing across various disciplines in academia and industry.
- Science and Engineering students pursuing B.Sc., B.E./B.Tech, M.Sc., MS/M.Tech, Ph.D. for their academic projects and to enhance their skills.
- Any computing enthusiasts.
- Professors/Lecturers/Teaching Assistants who want to teach or guide their students in scientific computing projects.
- Researchers, Scientists, or Engineers who want to shift from FORTRAN, MATLAB, or Python to C++ for HPC applications.
- Professionals already working in the industry but want to improve their C++ fundamentals
- Do I get a certificate?
Yes. When you finish all the lessons and corresponding assignments/quizzes, you will be given the certificate. - Do I need a powerful workstation/computer to learn this course?
No, a normal laptop with 4 or 8GB RAM and a decent processor (i3) is good enough for this course. - What if I don’t understand some portion or need to clarify some doubts?
We will support you through emails and discussion forums to clear all doubts and questions - Should I know the programming or any other CFD software to learn this course?
Programming knowledge is not a prerequisite. For this course. You will learn C++ from scratch. - Is there any prerequisite?
The course is aimed at programmers of all levels of expertise who wish to write scientific computing applications in C++. Basic familiarity with computer hardware and software, where files can be kept and edited is expected. Basic knowledge of mathematics, such as operations between vectors and matrices, and the Newton-Raphson method for finding the roots of non-linear equations would be an advantage.
Course Includes
- 39 Lessons
- 6 Topics
- 20 Quizzes
Ratings and Reviews
Raheel Usmani Subject Instructor did a very good job in teaching the concepts with relatable examples. He also opened vs code using terminal which shows his efforts.
Jishnu S A well-structured introduction to C++ with strong real-world relevance. The modules build up from the basics to more advanced topics like file handling and dynamic memory, making complex ideas easy to grasp. Great for anyone starting out in scientific computing!
kajalvinayak04 It is very nicely designed course, which explains the fundamentals of each topic followed by its application with the help of the codes.
Galileo I think it is a really well structured course. I am excited to start Part 2...
Hyunjin Kim Outstanding C++ Course for Numerical Methods! I struggled when self-studying C++, unsure if I fully understood the topics. This course greatly boosted my confidence, clearly emphasizing scientific computing. Ideal for those learning numerical methods in C++. I'm excited for part two! Highly recommended!
Matteo Giannetti Excellent course, very well structured, recommended
Noel Rebu This course is perfect for beginners to C++. I particularly appreciated the section on pointers and pointer functions. These concepts had always been difficult for me to grasp, especially during my college C programming classes. However, the explanations in this course were incredibly clear and broke down these topics step by step, making them much easier to understand.
One person found this helpful. vm.vishal09 It is a well-structured course for someone starting to move towards scientific computing. Kudos to the instructor, Mr. Nishant Soni, for his clear explanation of each and every topic.
Atinder Pal Singh best part is : explanation and topics covered
This course covers all the important topics that are required for scientific computational coding. This course is very helpful if someone wants to start OpenFOAM and other software where C++ is the primary coding language.