A Beginner's Guide to Numerical Methods in MATLAB (Udemy.com)
Learn to select, apply and improve numerical methods.
Created by: Dmitri Nesteruk
Last updated April 2016
What you will learn
- 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
- See how algorithms are implemented in MATLAB
How it compares
Against the other 335 rated Udemy courses in Engineering on CourseDuck:
- Rating4.2 out of 5higher than 21% of them
- Reviews96#293 of 336 by number of reviews
- Length4.8 hoursshorter than 52% of them
- Last updatedApril 2016earlier than 98% of them
Course Description
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: 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
- MATLAB files that you can download and run
- Quizzes related to the covered topics
Instructor Details
- 4.2 Rating
96 Reviews
Dmitri Nesteruk
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.
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Reviews
By Peter Chaula on 1/20/2021
Easy and straight forward.
By Hansel W on 12/25/2020
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)
By Het Vashi on 6/29/2020
my personal experience was very good i learn much of the things.
By Aryamaan Mohapatra on 3/26/2020
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
By Cesar Miranda Meza on 1/10/2019
Although i am a certified engineer, i didn't had a great course of Numerical Methods while i was on the University and, on top of that, i didn't liked Numerical Methods quite much. But, in time i noticed i needed this for my research projects and i got tired of not being able to apply Numerical Methods completely on my own until i went through this course. I am glad i took this course because with my previous knowledge plus this course i can now understand the basics of Numerical Methods and start going in-depth on more advanced concepts. Thanks!
By Oscar Barreca on 6/22/2018
Up until Section 4 the instructor delivers good, substantial explanations, but I haven't yet seen a challenging exercise to make the course even more worthy. I'm motivated to move on, hoping to hone my technical skills through said practical exercises. Those encountered so far were just single-questions with limited options. Update: I'm about the same opinion even after having finished the course. Very little original thinking was required for finishing the exercises. I know elaborating challenging exercises requires time, and am understanding of it. On the level of contents I'm pretty much satisfied to have had an exposure before embarking on a more serious study of the subject.
By Jose A Guerrero on 1/4/2018
- I like that he explains the material in simple terms with the definition of the formula of a topic written, however, some variable terms like what is 'x' or 'u' in a given formula, are not labeled (just written as a variable and its meaning stated), so it might get hard to keep track of the variables in the formulas. - I like that he explains on a smart board, for visual representation. - I like that there are quizzes, however, they are short (1 - 3 questions), so they are not as thorough as some other courses I have taken. - I don't like that he does not follow through the whole thought process when solving some topics at about 25% through the course, meaning, I feel like he tries to save time during the explanations of the topics. - I feel like you definitely need to know the mathematical terms he uses because he does not take time to explain certain things you might not know. Calculus is required (derivatives and partial derivatives), also, how to use functions, symbols, loops, etc. in MATLAB, and Linear Algebra, to understand the lectures. - Voice intonation could be improved. - I feel like the material is easy to forget. There are no real exercises that make sure you understand and remember the material. - Matlab with symbolic toolbox is required to complete the quizzes. - Lecturer could improve lectures by more video editing, to remove mistakes and keep the pace up.
By Sagnik Kundu on 11/4/2017
It was a god experience
By Nayeli del Carmen González Novelo on 6/8/2017
I'd like to have more material to study. For instance, something related to methods proof.
By Gianfranco Giorgianni on 7/1/2016
The Course is very nice, it is designed like what I wanted, I'd just put some more numerical topics like the solution of ODEs, PDEs and related systems, nonlinear regression and optimization methods and the use of other toolboxes..
Quality Score
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Overall Score : 84 / 100












