Scientific Computing in C++

Learn numerical computation techniques by applying C++ to solve distinct mathematical tasks
4.34 (64 reviews)
Udemy
platform
English
language
Programming Languages
category
instructor
Scientific Computing in C++
906
students
18 hours
content
Apr 2023
last update
$34.99
regular price

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! 🤖✨

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Related Topics

3779604
udemy ID
16/01/2021
course created date
11/12/2021
course indexed date
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