Module #1 Introduction to Advanced CFD Techniques Overview of advanced CFD techniques, importance, and limitations
Module #2 Mesh Generation for Complex Geometries Advanced mesh generation techniques for complex geometries using open-source and commercial software
Module #3 High-Order Numerical Methods for CFD Introduction to high-order numerical methods (e.g. discontinuous Galerkin, spectral elements) for CFD simulations
Module #4 Large Eddy Simulation (LES) for Turbulent Flows Theory and application of LES for simulating turbulent flows
Module #5 Direct Numerical Simulation (DNS) for Turbulent Flows Theory and application of DNS for simulating turbulent flows
Module #6 Turbulence Modeling for RANS and URANS Advanced turbulence modeling techniques for RANS and URANS simulations
Module #7 Multiphase Flow Modeling Theory and application of multiphase flow modeling for CFD simulations
Module #8 Computational Aeroacoustics (CAA) Theory and application of CAA for simulating aerodynamic noise
Module #9 Lattice Boltzmann Methods (LBM) for CFD Introduction to LBM for simulating fluid flows and heat transfer
Module #10 Smoothed Particle Hydrodynamics (SPH) for CFD Introduction to SPH for simulating fluid flows and heat transfer
Module #11 Finite Element Methods for CFD Introduction to finite element methods for simulating fluid flows and heat transfer
Module #12 High-Performance Computing (HPC) for CFD Optimization techniques for CFD simulations on HPC architectures
Module #13 Parallel Computing for CFD Parallelization techniques for CFD simulations using MPI and OpenMP
Module #14 Uncertainty Quantification (UQ) for CFD Introduction to UQ techniques for CFD simulations
Module #15 Optimization Techniques for CFD Introduction to optimization techniques for CFD simulations
Module #16 Machine Learning for CFD Introduction to machine learning techniques for CFD simulations
Module #17 Data-Driven Modeling for CFD Introduction to data-driven modeling techniques for CFD simulations
Module #18 CFD for Renewable Energy Applications Application of CFD for simulating renewable energy systems (e.g. wind, solar, hydro)
Module #19 CFD for Aerospace Engineering Applications Application of CFD for simulating aerospace engineering systems (e.g. aircraft, spacecraft, missiles)
Module #20 CFD for Automotive Engineering Applications Application of CFD for simulating automotive engineering systems (e.g. engines, engines, vehicles)
Module #21 CFD for Biomedical Engineering Applications Application of CFD for simulating biomedical engineering systems (e.g. blood flow, respiratory systems)
Module #22 CFD for Chemical Engineering Applications Application of CFD for simulating chemical engineering systems (e.g. reactors, mixers, pipelines)
Module #23 CFD for Civil Engineering Applications Application of CFD for simulating civil engineering systems (e.g. buildings, bridges, dams)
Module #24 CFD for Environmental Engineering Applications Application of CFD for simulating environmental engineering systems (e.g. water, air, soil pollution)
Module #25 CFD for Materials Science Applications Application of CFD for simulating materials science systems (e.g. materials processing, microfluidics)
Module #26 CFD for Nuclear Engineering Applications Application of CFD for simulating nuclear engineering systems (e.g. reactors, cooling systems)
Module #27 CFD for Ocean Engineering Applications Application of CFD for simulating ocean engineering systems (e.g. offshore structures, ocean currents)
Module #28 Case Study:Advanced CFD Simulation of a Complex Flow Problem Hands-on application of advanced CFD techniques to a complex flow problem
Module #29 Best Practices for Advanced CFD Simulations Guidelines for performing advanced CFD simulations, including validation, verification, and error estimation
Module #30 Course Wrap-Up & Conclusion Planning next steps in Advanced Computational Fluid Dynamics Techniques career
