Coupon & course info
Course Name: Programming Numerical Methods in Python
Subtitle: A Practical Approach to Understand the Numerical Methods
Instructor: Taught by Murad Elarbi, Mechanical Engineer, Lecturer
Provided by: Udemy
Price: $180 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of October 20, 2017…
Students: 102 students enrolled students enrolled
Ratings: 18 reviews
Rank: ranked #184 in Udemy Academics Courses
Brief course description
Many of the Numerical Analysis courses focus on the theory and derivations of the numerical methods more than the programming techniques. Students get the codes of the numerical methods in different languages from textbooks and lab notes and use them in working their assignments instead of programming them by themselves.
For this reason, the course of Programming Numerical Methods in Python focuses on how to program the numerical methods step by step to create the most basic lines of code that run on the computer efficiently and output the solution at the required degree of accuracy.
This course is a practical tutorial for the students of Numerical Analysis to cover the part of the programming skills of their course.
(Read more about this course on the official course page.)
Murad Elarbi bio
I am a Mechanical Engineering Lecturer in the University of Benghazi, Libya since 2005. I taught courses of Strength of Materials, Theory of Machines, Machine Design Projects and Engineering Drawing. My research interest is the computational mechanics where numerical methods and computer programming are the main tools of solution in addition to theories of mechanics. I instructed several computer language training courses of BASIC, Fortran, C++ and MATLAB. Currently, I am in the USA for the Ph.D. degree.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: Beginner Level
Lectures: 53 lessons
Duration: 11.5 hours of video
What you get: Program the numerical methods to create simple and efficient Python codes that output the numerical solutions at the required degree of accuracy.
Target audience: The students who currently study their first course in numerical methods and need to understand how the methods are coded in detail.
Requirements: You should have a good background in algebra and calculus, in addition to the basic knowledge about computers
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons