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Creating Interactive Simulations in Mathematica
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YouTube playlists curated by Class Central.
Classroom Contents
Software - Mathematica, MATLAB, Aspen Plus
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- 1 Creating Interactive Simulations in Mathematica
- 2 Non-Linear Regression in Mathematica
- 3 Numerically Solve ODEs with Mathematica 1
- 4 Numerically Solve ODEs with Mathematica 2
- 5 Plot Equations with Mathematica
- 6 Basic Functions in MATLAB
- 7 Introduction to MATLAB
- 8 MATLAB Files and Functions
- 9 MATLAB Plots
- 10 MATLAB Solver Functions
- 11 MATLAB Solvers
- 12 Programming Structures in MATLAB
- 13 Introduction to Aspen Plus: Choosing a Property Method
- 14 Introduction to Aspen Plus: Building a Flow Sheet
- 15 Introduction to Aspen Plus: Data Input & Running the Simulation
- 16 Introduction to Aspen Plus: Convergence & Presentation of Results
- 17 Introduction to Aspen Plus: Chlorobenzene Plant
- 18 Aspen Plus: Reactor Types
- 19 Aspen Plus: Reactor Example Problem
- 20 Aspen Plus - Reactors: Chlorobenzene Plant
- 21 Aspen Plus: Flash Separators
- 22 Aspen Plus: DSTWU
- 23 Aspen Plus: RadFrac
- 24 Aspen Plus - Separators: Chlorobenzene Plant
- 25 Aspen Plus: Shortcut Heat Exchanger Method
- 26 Aspen Plus: Detailed Heat Exchanger Method
- 27 Aspen Plus: Double Heater Method
- 28 Aspen Plus - Heat Exchangers: Chlorobenzene Plant
- 29 Aspen Plus: Pumps
- 30 Apsen Plus: Compressors
- 31 Aspen Plus: Pipes
- 32 Aspen Plus: Valves
- 33 Aspen Plus - Pressure Changers: Chlorobenzene Plant
- 34 Aspen Plus: Chlorobenzene Plant
- 35 Aspen Plus: Chlorobenzene Plant Cost
- 36 Non-linear Regression for Kinetic Data
- 37 Non-linear Regression for Kinetic Data Using POLYMATH
- 38 Linear Regression for Kinetic Data
- 39 Linear Regression for Kinetic Data Using POLYMATH
- 40 Determining Michaelis-Menten Kinetics Parameters Using Nonlinear Regression
- 41 Nonlinear Regression to Determine Michaelis-Menten Kinetics Parameters Using POLYMATH
- 42 Determine Activation Energy Using Nonlinear Regression with POLYMATH
