Scientific Computing in C++
Learn numerical computation techniques by applying C++ to solve distinct mathematical tasks
4.34 (64 reviews)

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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