Chevron Left
Back to FEM - Linear, Nonlinear Analysis & Post-Processing

Learner Reviews & Feedback for FEM - Linear, Nonlinear Analysis & Post-Processing by Coursera Project Network

4.7
stars
155 ratings

About the Course

In this hands-on project, you will learn about the Finite Element Method (FEM) and perform a linear & nonlinear static analysis study using the cloud-based simulation tool SimScale. We will set up simulation cases with provided geometries to learn the fundamentals of the Finite Element Method and how a static linear and nonlinear analysis is approached in the first place. We will walk through the classical three step process of every simulation which includes the pre-processing, processing and post-processing step. SimScale is an engineering simulation platform that is revolutionizing the way engineers, designers, scientists, and students design products. The SimScale platform is accessible completely via a standard web browser, with an easy-to-use interface which supports numerous simulation types including solid mechanics (FEM), fluid dynamics (CFD) & thermodynamics. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project, for this project you need no special setup or any data. Everything is already set up directly in your internet browser so you can just focus on learning! Notes: - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews

PS

Aug 30, 2023

This is very helpful Hands-on session. I learn a lot about new software i.e. SimScale. I am very thankful to Coursera for this learning opportunity.

HN

Jan 1, 2024

It was easy, there were 6 questions for task but I wished if they wanted learners to upload results of a simulation and learn much better

Filter by:

1 - 19 of 19 Reviews for FEM - Linear, Nonlinear Analysis & Post-Processing

By Hosein N

•

Jan 2, 2024

It was easy, there were 6 questions for task but I wished if they wanted learners to upload results of a simulation and learn much better

By HariKrishnan U

•

Dec 2, 2021

This is more of a marketing for simscale and basically you pay for this!

By Germán Q R

•

May 16, 2022

Way too short, barely scratching the surface of FEA

By cheap P

•

May 25, 2023

That was amazing session that I had. As a beginner I learn lot of things about FEA to put my first step. And thanks to coursera to provide such platform for learning and specially thanks to Jousef Murad sir for uploading this course and done it free :)

By Prashant S

•

Aug 31, 2023

This is very helpful Hands-on session. I learn a lot about new software i.e. SimScale. I am very thankful to Coursera for this learning opportunity.

By Narayan R

•

Aug 3, 2023

The instructor was very clear about the project and all the reading materials provided with the course were very informative

By Mangesh B

•

Sep 30, 2023

All sessions are informative. Certificate not shown my name. plz do the needful.

By Isabel S A

•

Jun 6, 2024

Very well explained and organized, thank you. I learned what I needed

By Kakul

•

Jan 20, 2023

It was a great course. I really enjoyed learning a new skill.

By Muhammad M

•

Aug 18, 2024

Amazing project for a beginner.

By Nick S

•

May 28, 2024

Great course. Thank you.

By CLEISON A M A

•

Mar 1, 2022

Thanks for the course .

By UMAIR K

•

Mar 23, 2023

exceptional one!

By Silvio N

•

Apr 7, 2024

Excelente curso

By Ernani R L

•

Jan 2, 2022

Nice course

By Rahul s k

•

May 4, 2023

ssupsuper

By Rameshkumar S

•

Nov 17, 2022

GOOD

By Adnane H

•

Aug 9, 2023

It was really useful and gives a significant informations especially i had no idea about the field of FEA.

By Morteza K

•

Apr 23, 2023

After Guided Project and completing the process, Certificate was not submitted based on my name.... It was very bad!

Morteza Karami