Computational Fluid Dynamics Courses

IIT Guwahati;  NPTEL

Computational Fluid Dynamics For Incompressible Flows

Learn computational fluid dynamics basics, including PDE classification, finite difference and volume methods, and algorithms for solving fluid flow problems.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Steve Brunton

Machine Learning for Computational Fluid Dynamics

Explore machine learning's potential to enhance computational fluid dynamics, covering applications in simulations, turbulence modeling, and reduced-order models while emphasizing physics-informed approaches.

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

Computational Fluid Dynamics Analysis With Kubernetes, Kubeflow, and OpenFOAM - Erik Jacobs

Explore how Kubernetes, Kubeflow, and OpenFOAM can optimize computational fluid dynamics analysis, improving resource utilization and operational efficiency in high-performance computing environments.

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

Inside Livermore Lab

New Avenues in Computational Fluid Dynamics

Explore cutting-edge developments in high-order spectral element solvers for computational fluid dynamics, including multiphysics simulations and machine learning integration.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

CppCon

Vectorizing Computational Fluid Dynamics Code in C++ Using std::simd

Discover how to optimize Computational Fluid Dynamics code through vectorization using std::simd, featuring practical implementations and a complementary library for transparent loading and storing operations.

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

József Nagy (OpenFOAM tutorials)

CFD Basics - Introduction to Computational Fluid Dynamics with OpenFOAM

Master CFD fundamentals and OpenFOAM simulations through hands-on tutorials covering grid creation, transport equations, discretization, and convergence analysis.

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

Mathematical and Computational Methods

44 ratings

Transforming math technicians into practitioners through advanced techniques, interconnected concepts, and practical problem-solving skills for physics applications.

• edX
• 18 weeks, 7-10 hours/week
• Self-Paced
• Free Online Course

• Best of All Time

Introduction to Computational Thinking and Data Science

30 ratings

6.00.2x is an introduction to using computation to understand real-world phenomena.

• edX
• 9 weeks, 14-16 hours/week
• Self-Paced
• Free Online Course (Audit)

• Best of All Time

Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion

36 ratings

Learn dynamics of particles and rigid bodies in 2D motion, covering kinematics, kinetics, work-energy principle, impulse-momentum, and conservation laws for engineering systems and structures.

• Coursera
• 23 hours 19 minutes
• Self-Paced
• Paid Course

Computational Social Science Capstone Project

34 ratings

Integrative lab applying computational social science skills: web scraping, network analysis, NLP, and agent-based modeling to analyze social media data and simulate idea diffusion.

• Coursera
• 13 hours 38 minutes
• Self-Paced
• Paid Course

Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

30 ratings

Explore advanced 3D motion dynamics for engineering systems, covering kinematics, kinetics, angular velocity, Eulerian angles, and rigid body motion equations. Gain expertise in analyzing complex mechanical movements.

• Coursera
• 18 hours
• Self-Paced
• Paid Course

Principles, Statistical and Computational Tools for Reproducible Data Science

12 ratings at edX

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

• edX
• 8 weeks, 3-8 hours/week
• Self-Paced
• Free Online Course (Audit)

Engineering Dynamics

9 ratings

This course is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems.

• MIT OpenCourseWare
• 40 hours
• Self-Paced
• Free Video

Simon Fraser University

Generative Art and Computational Creativity

21 ratings

Explore generative art and computational creativity through various disciplines, learning algorithms and techniques to create novel artifacts and aesthetic experiences using MAX software.

• Kadenze
• 12 weeks
• Self-Paced
• Free Online Course

Computational Probability and Inference

3 ratings

Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Tackle machine learning problems, from recommending movies to spam filtering to robot navigation.

• edX
• 12 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course