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🧠 “The function of education is to teach one to think intensively and to think critically. Intelligence plus character – that is the goal of true education.” – Martin Luther King

Nov 26, 2023

🎙️ Become a Better Coder - Mike Croucher | Podcast #112

💦 NASA - Introduction to Computational Fluid Dynamics Course

This series will help participants develop an understanding of computational fluid dynamics and provide an opportunity to practice numerical solution techniques as applied to the equations governing fluid mechanics and heat transfer.

Check it out

🐍 How and Where to Learn Python - 5 Tips

Find a reason to learn Python: Having a clear motivation for learning Python can help you stay focused and engaged in the learning process. Pick a project that interests you and work on it daily. 30 Minutes for 30 Days!
Start with the basics: It's essential to have a solid foundation in Python before moving on to more advanced topics. This will make it easier to understand and learn new concepts later on. Start with the documentation!
Practice, practice, practice: The best way to learn Python is to use it actively (see point 1!). Work on small projects, write code and experiment with different features to understand the language.
Don't be afraid to ask for help: If you get stuck while learning Python, ask for help. There are many resources available, such as online forums and Stack Overflow, where you can get help from other Python users. Ah…and ChatGPT of course! 😉
Stay up to date: Python is a rapidly evolving language, and new features and libraries are always being added. To stay current and take advantage of the latest developments, make an effort to keep up with the latest Python news and updates.
Bonus: Pick a Python Course that’s beginner-friendly. You’re free to pick your own and do some research. Check out mine here if you like!

Not a fan of Python? No problem!👇

🧠 AI Helps Predict and Sketch Computer-Aided Design Models

Parametric computer-aided design (CAD) is the dominant paradigm in mechanical engineering for physical design. Distinguished by relational geometry, parametric CAD models begin as two-dimensional sketches consisting of geometric primitives (e.g., line segments, arcs) and explicit constraints between them (e.g., coincidence, perpendicularity) that form the basis for three-dimensional construction operations. Training machine learning models to reason about and synthesize parametric CAD designs has the potential to reduce design time and enable new design workflows.

Software Engineer - Simulations (f/m/d) - Remote in Germany

With your advanced skills and experience, you will be working on FEM features and add-in development support, exploring new concepts independently, and having the freedom to make important architectural and user experience decisions.

Learn More

💻 Engineering Tool of the Week – CALCULIX

CalculiX is a package designed to solve field problems. The method used is the finite element method.

With CalculiX Finite Element Models can be built, calculated and post-processed. The pre- and post-processor is an interactive 3D-tool using the openGL API. The solver is able to do linear and non-linear calculations. Static, dynamic and thermal solutions are available.

Website.

📚Book of the Week

An Analysis of the Finite Element Method

A complete classic by Gilbert Strang and George Fix, first published in 1973. The original book demonstrates the solid mathematical foundation of the finite element idea, and the reasons for its success. The second part is a new textbook by Strang. It provides examples, codes, and exercises to connect the theory of the Finite Element Method directly to the applications.

The reader will learn how to assemble the stiffness matrix K and solve the finite element equations KU=F. Discontinuous Galerkin methods with a numerical flux function are now included. Strang's approach is direct and focuses on learning finite elements by using them.

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