The Julia Programming Language Courses

Code Formatting with Runic.jl

Discover Runic.jl, a zero-configuration code formatter for Julia that enforces consistent styling, improves readability, and reduces cognitive overhead in programming workflows.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Let's Read the Julia Documentation in Your Preferred Language

Discover how DocstringTranslation.jl breaks language barriers by translating Julia documentation into your native language using AI and LLM technology.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Mesh-Adaptivity with p4est in Ferrite.jl - Progress Report on Morton Index-based Octree Datastructures

Discover mesh adaptivity advancements with p4est in Ferrite.jl, featuring Morton index-based octree datastructures and bitshifting techniques for computational efficiency.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Extending the Julia SciML Ecosystem to a Backbone for PDEs

Discover Chris Rackauckas' vision for extending Julia's SciML ecosystem into a comprehensive backbone for solving partial differential equations in scientific computing.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Introduction to Ferrite.jl

Discover Ferrite.jl fundamentals through Knut Andreas Meyer's comprehensive introduction at FerriteCon 2024, covering key concepts and practical applications.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Ferrite.jl Version 1.0.0 - What Has Changed and Why?

Discover what's new in Ferrite.jl 1.0.0 release through Fredrik Ekre's detailed breakdown of key changes and improvements in this finite element library for Julia programming.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Adventures in PDE Discretizations - Utilizing Spatial Structure for Fast Solvers

Explore advanced PDE discretization techniques for heart simulations using spatial structure optimization in Julia programming.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

Efficient Adaptive Mesh Refinement Using Superposition for Discontinuous Galerkin Methods

Discover efficient adaptive mesh refinement techniques using superposition for discontinuous Galerkin methods, optimizing local matrix recalculation to minimize computational overhead.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

5 Years of Working with Ferrite.jl in Research

Discover how Kim and Elias leveraged Ferrite.jl throughout their PhD research, sharing 5 years of practical insights and experiences with this Julia finite element package.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Ferrite + X - Combining Ferrite with Julia Packages for Powerful Finite Element Workflows

Discover how to enhance Ferrite.jl with complementary Julia packages like BlockArrays.jl, OhMyThreads.jl, and ForwardDiff.jl for powerful finite element workflows.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Tensors.jl - Efficient Tensor Operations and Automatic Differentiation in Julia

Explore Tensors.jl for efficient tensor operations in Julia, covering automatic differentiation support and integration with finite element methods for scientific computing.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Variational Minimization Formulation for Phase-Field Topology Optimization and Coupled Problems

Explore two-field canonical minimization formulation for phase-field topology optimization and coupled problems like poro-elasticity using Ferrite.jl in Julia.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Differentiable Programming for Scientific Computing with Enzyme

Explore how Enzyme automatic differentiation framework enables powerful derivative capabilities for scientific computing workflows in Julia programming.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Introduction to Ferrite.jl - A Finite Element Toolbox for Julia

Discover Ferrite.jl, Julia's finite element toolbox for scientific computing. Learn mesh handling, PDE solving, and building FEM models with performance and mathematical clarity.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Revisiting Adaptive Mesh Refinement that's not P4est

Explore a refined adaptive mesh refinement algorithm that superimposes finer elements on parents, eliminating hanging nodes and optimizing assembly for DG methods in Julia.

• YouTube
• 16 minutes
• Self-Paced
• Free Video