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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

Category: Academics

Subcategory: Academics

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

Languages: English

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