Course Weekly Lecture Plan

Week	Topic
1	Overview Introduction to the Course
2	Introduction to Turbulence, Turbulent Scales, Energy Spectrum, The Cascade Process
3	Turbulent Mean Flow, Probability Density Functions, Transport Equations for Turbulent Kinetic Energy, Transport Equations or Reynolds Stresses, Correlations
4	Reynolds Stress Models and Two Equation Models Eddy Viscosity Models
5	Scalar/Heat-Flux-Transport Modelling
6	Overview of RANS Models
7	Introduction to LES
8	Test Filter, Bardina Model, numerical Methods
9	URANS
10	DES
11	Hybrid LES-RANS Review
12	Modeling Buoyant flows in LES and RANS
13	DNS
14	Machine Learning