Title

Scientific Computing in C++

Learn numerical computation techniques by applying C++ to solve distinct mathematical tasks

4.37 (62 reviews)

Udemy

platform

English

language

Programming Languages

What you will learn

Learn programming concepts such as loops, arrays (vectors), boolean operator, pointers, dynamic memory allocation, OOP (inheritance, polymorphism, virtual functions), function pointers, array of funtion pointers, enum, struct etc.

Apply acquired programming skills in order to understand algorithms and mathematical problems

Practice reading in multiple format files for further processing

Get familiar with fundamental programming concepts like object-oriented programming as it is the heart of C++

Learn numerical computational techniques such as Newton method, Monte-Carlo simulation, Richardson extrapolation, Binomial & Gaussian distribution etc.

Why take this course?

🧬 Dive into Scientific Computing with C++ 🚀

Course Title: Scientific Computing in C++

Headline: Master Numerical Computation Techniques by Applying C++ to Solve Distinct Mathematical Tasks

Course Description:

🎉 Start Your Journey with C++ for Science and Engineering! 🎉

Why This Course?

Perfect for Intermediate C++ Programmers: If you have a basic understanding of C++, this course is tailored to elevate your skills to the next level.
Comprehensive Coverage of Key Concepts: From vectors and booleans to object-oriented programming features like inheritance, static members, virtual functions, and polymorphism – we've got you covered. 🖥️
Hands-On Learning: Engage with practical examples and exercises that bring scientific computing concepts to life.

What You Will Learn:

Algorithm Basics: Master the art of searching with linear and binary search algorithms, and later tackle more complex sorting algorithms like bubble and heapsort.
Programming Skills: Understand the nuances of recursive functions vs. for-loops, switch functions, pointers, function pointers, typedefs, enums, structs, and dynamical arrays through memory allocation. 🔍
File Parsing Mastery: Learn to parse multiple format files effectively for post-processing data.

Advanced Numerical Methods:

Monte Carlo Simulations: Explore the Monte-Carlo simulation of a 2D Ising magnet, understanding the principles behind probabilistic models.
Integration Techniques: Learn the Simpson's rule for numerical integration and other essential integration methods.
Statistics & Probability: Dive into binomial distributions/coefficients, numerical differentiation using Richardson's extrapolation technique, Newton-method for finding roots, Gaussian/Normal distribution, and linear/exponential regression using the least square method by Gauss.

Course Highlights:

Numerical Computing Techniques: Apply C++ to solve real-world mathematical problems with precision.
Object-Oriented Programming (OOP): Deep dive into OOP principles and their practical applications in scientific computing.
Advanced Algorithms & Data Structures: Gain insights into advanced algorithms and data structures that are crucial for scientific computation tasks.

Who is this course for?

Aspiring developers who want to specialize in scientific computing with C++.
Current programmers looking to expand their expertise beyond the basics.
Anyone interested in understanding complex mathematical problems through the lens of programming.

👩‍💻 Join us and transform your coding skills into a powerful tool for solving scientific challenges! Let's embark on this exciting learning adventure together. 🌟

In summary, by enrolling in this course, you will:

Acquire advanced knowledge of C++ and its application in scientific computing.
Understand the core concepts of object-oriented programming and how they are used in real-world scientific computations.
Learn to implement and analyze complex algorithms and data structures.
Develop skills in numerical methods, statistics, and probability through practical examples.

Ready to dive into the world of Scientific Computing with C++? Let's get started! 🤖✨

Reviews

Yannick

July 9, 2024

There are a number of things wrong with this course: - Many of the early examples do not have anything to do with scientific computing - It is often not clear what the point of a tutorial is and the explanation of the task on hand is often confusing - A lot of time is spend on pretty trivial logic - Not enough time is spend on explaining some C++/OOP specific technicalities - Time is wasted by coding the whole application during the tutorial rather than preparing an outline/skeleton and filling in the structure While the above points alone would make this a mediocre course, I feel that the worst part are the obvious mistakes and bad programming practices. Examples include: - declaring/defining unused variables - setting variables but never using the values - passing global variables to functions (and the use of global variables in the first place) - freeing the same memory multiple times - double start, end = 0.0 does not initialize both to zero - should use new double(N)() to initialize arrays to zero instead of loops - repeating code multiple times rather than writing a functions .... And many more issues that I am too lazy to write.

Joshua

September 1, 2022

Excellent course, introduces certain fundamentals in small( and practical) parts which are then extrapolated as you progress. Highly useful for establishing a foundational understanding whilst being interesting all through out. Hope you make some more courses!

Laurent

September 27, 2021

Ce que j'ai appris grâce à ce cours me sera très utile pour mes projets scientifiques, merci beaucoup.

Ugur

February 11, 2021

In a word ‘AMAZING’ for the experience that I've had by purchasing this course. I really enjoyed the content of the course. Mr. Koeksal has been an excellent instructor since he has a scientific background, he made C++ a really easier that once seemed kind of harder for me. Explaining every idea behind almost every piece of code by adding comments and process to allow me to understand C++. I am really happy to be able to compute in C++. I hope that there will be more courses with different concepts in the future as well. Thanks for this great course again.

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