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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
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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
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Introduction to Aspen Plus: Convergence & Presentation of Results
17
Introduction to Aspen Plus: Chlorobenzene Plant
18
Aspen Plus: Reactor Types
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Aspen Plus: Reactor Example Problem
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Aspen Plus - Reactors: Chlorobenzene Plant
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Aspen Plus: Flash Separators
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Aspen Plus: DSTWU
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Aspen Plus: RadFrac
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Aspen Plus - Separators: Chlorobenzene Plant
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Aspen Plus: Shortcut Heat Exchanger Method
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Aspen Plus: Detailed Heat Exchanger Method
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Aspen Plus: Double Heater Method
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Aspen Plus - Heat Exchangers: Chlorobenzene Plant
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Aspen Plus: Pumps
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Apsen Plus: Compressors
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Aspen Plus: Pipes
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Aspen Plus: Valves
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Aspen Plus - Pressure Changers: Chlorobenzene Plant
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Aspen Plus: Chlorobenzene Plant
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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
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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
Description:
Explore a comprehensive series of screencasts covering the use of Mathematica, MATLAB, and Aspen Plus for engineering computing. Learn to create interactive simulations, perform non-linear regression, solve ODEs, and plot equations in Mathematica. Master basic functions, file management, plotting, and programming structures in MATLAB. Dive into Aspen Plus for process simulation, including property method selection, flowsheet building, reactor types, separators, heat exchangers, and pressure changers. Apply these skills to a chlorobenzene plant case study. Additionally, gain expertise in linear and non-linear regression techniques for kinetic data analysis using POLYMATH.

Software - Mathematica, MATLAB, Aspen Plus

University of Colorado Boulder
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#Computer Science #Programming #Domain-Specific Languages (DSL) #MATLAB
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Creating Interactive Simulations in Mathematica