Master numerical methods, explore floating point concepts, minimize errors, and apply iterative methods with video lectures, MATLAB files, and quizzes.
This course dives into the world of Numerical Methods, focusing on how we can use these techniques to tackle computations while keeping errors in check. Itâs all about learning how computers do math, avoiding pitfalls, and applying cool methods practically with tools like MATLAB.
Learn to select, apply and improve numerical methods.
This course is about Numerical Methods and covers some of the popular methods and approaches being used daily by mathematicians and everyone involved in computation.
This course will teach you about
How computers store numbers:Â what is floating point, what is precision and accuracy.
The kinds of errors you are likely to encounter when applying numerical methods, and how to minimize them.
One- and Two-Point iterative methods
Interpolation and Curve Fitting
Numerical Differentiation and Integration
This course consists of the following materials:
Video lectures, covering both the theory as well as demonstrating practical computer applications
MATLABÂ files that you can download and run
Quizzes related to the covered topics
Understand about the ways computer store numbers
Choose the right numerical methods to solve a problem
Measure (and avoid) the errors inherent in numeric calculations
1 Lectures
4 Lectures
8 Lectures
3 Lectures
7 Lectures
4 Lectures
Dmitri is a quant, developer, book author and course author. His interests lie in software development and integration practices in the areas of computation, quantitative finance and algorithmic trading. His technological interests include C# and C++ programming as well high-performance computing using technologies such as CUDA and FPGAs. He has been a C# MVP since 2009.
I am an engineer, mathematician and web developer. I make web applications in C# and .NET technology stack, and have 10 published scientific articles. I graduated from a university in 2011. At that time I engaged in research into matrix algebra and conducted work related to request processing optimization in a learning management system. Right now, I am interested in...
Easy and straight forward.
I think the instructor was really in a rush when making the video (?)
He didn't really explore the matlab codes (explain what's eval, subs, etc. ), in contrast he spent a considerable amt of time writing out the long lines of math equation (more efficient to just show the final form and explain each term/ maybe starts with example then starts the investigation)
perfect
my personal experience was very good i learn much of the things.
helpful videos
this has helped me a lot. there had been a few challenging topics which i was unfamiliar with, before the start of this course, but now i feel confident in solving more problems based on numerical methods
Very good course!
I want to learn the numerical method on MATLAB not numerical method theory. It is 90% theory (when i completed 15% of course). So be clear even matlab explanation is also not there.
I understand a bit but not clearly. Maybe itâs simply because of me.
Your email address will not be published. Required fields are marked *
Shaun V.
C