Recorded Lectures

 Lectures are also podcast from iTunes here. Note: The movie files are large (100+ MB), so you may prefer to download them (by right clicking on the .MOV link) to make a local copy!

Introductory material

 * Lecture 1: Learning in an electronic classroom ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV Slides: PPT PDF


 * Lecture 2: Wiki basics ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV Slides: PPT PDF Readings: Wiki Editing Help

Modeling Basics

 * Lecture 3: Verbal modeling ( Comments) Video:[[Image:YouTube_icon.png]]YouTube or .MOV Slides: PPT or PDF Readings: Verbal Modeling


 * Lecture 4: Incidence graphs ( Comments) Video: [[Image:YouTube_icon.png]] YouTube or .MOV Slides: PPT PDF Readings  Incidence Graphs


 * Lecture 5: Excel modeling part 1 ( Comments) Video: [[Image:YouTube_icon.png]] YouTube or .MOV or .AVI Slides: PPT or PDF Readings Excel Modeling Sup. materials: [[Media:plastic.factory.2.xls|  plastic.factory.2.xls]]


 * Lecture 6: Excel modeling part 2 ( Comments) Video: [[Image:YouTube_icon.png]] YouTube or .MOV or .AVI Slides: PPT orPDF Readings Noise modeling,  Fitting Parameters with Excel Sup. materials: [[Media:plastic.factory.2.xls|  plastic.factory.2.xls]]


 * Lecture 7: Modeling ODEs with Excel and Mathematica ( Comments) Video: [[Image:YouTube_icon.png]] YouTube or .MOV or  .AVI  Slides: [[Media:7.lecture.ppt|  PPT]] or [[Media:7.lecture.pdf| PDF]] Readings  Excel ODE modeling,  Mathematica ODE modeling Sup. materials: [[Media:7.lecture.mathematica.nb|  7.lecture.mathematica.nb]], [[Media:lecture.7.excel.xls|  lecture.7.excel.xls]]


 * Lecture 8: Surge tanks, valves, and sensors: Part I ( Comments) Video: [[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:8.9.lecture.ppt.zip|  PPT]] or [[Media:8.9.lecture.pdf| PDF]] Readings  Surge Tank Model,  Valves: Types & Selection, Valves: Modeling,  Level Sensors,  P&ID Standard Notation


 * Lecture 9: Surge tanks, valves, and sensors: Part II ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or  .AVI  Slides: [[Media:8.9.lecture.ppt.zip|  PPT]] or [[Media:8.9.lecture.pdf| PDF]] Readings  Surge Tank Model,, Valves: Modeling,  Optimization in Excel Sup. materials:  [[Media:tank.model.xls| tank.model.xls]]


 * Lecture 10: Piping & Instrumentation Diagrams ( Comments) Video: [[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: PPT or [[Media:10.lecture.pdf| PDF]] Readings  P&ID Standard Notation,, P&ID Standard Structures,  P&ID Pitfalls P&ID Safety Features, Temperature Sensors, Flow Sensors, Composition Sensors Sup. materials:  [[Media:visio.templates.zip| P&ID Templates for Visio]],[[Media:omnigraffle.templates.zip| P&ID Templates for OmniGraffle]],[[Media:omnigraffle.sample.pids.zip| Sample P&IDs in omnigraffle]],[[Media:challenge.problem.pdf| Challenge Problem]]


 * Lecture 11: Control Programming ( Comments) Video: [[Image:YouTube_icon.png]] YouTube or  .MOV or  .AVI  Slides: PPT or PDF Readings  Logical Programming

Chemical Process Controls

 * Lecture 12: PID Control I ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: PPT or PDF Readings  PID Introduction, Sup. materials:  [[Media:PID.example.xls| PID.example.xls]],[[Media:PID.example.2.xls| PID.example.2.xls]]


 * Lecture 13: PID Control II ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: PPT or PDF Readings  Classical PID Tuning,  PID Tuning via Optimization,  PID Downsides and Solutions


 * Lecture 14: Stability Analysis I: Fixed points and Jacobians ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:lecture.14.ppt| PPT]] or [[Media:lecture.14.pdf| PDF]] Readings  Fixed Points,  Linearization of ODEs, Sup. materials:  [[Media:Linerization.stability.example.nb| Linearization.stability.example.nb]]


 * Lecture 15: Stability Analysis II: Eigenvalues and stability ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:lecture.15.ppt| PPT]] or [[Media:lecture.15.pdf| PDF]] Readings  Eigenvalues and Eigenvectors,  Using Eigenvalues to evaluate stability, Sup. materials:  [[Media:Linerization.stability.example.nb| Linearization.stability.example.nb]]


 * Lecture 16: Stability Analysis III: Phase Portraits ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:lecture.16.ppt| PPT]] or [[Media:lecture.16.pdf| PDF]] Readings  Phase Plane Analysis Sup. materials:  pplane, Lorenz simulation in 3D


 * Lecture 17: Stability Analysis IV: Root Locus Plots and Routh Stability ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:lecture.17.ppt| PPT]] or [[Media:lecture.17.pdf| PDF]] Readings  Root Locus Plots,  Routh Stability  Sup. materials:  [[Media:lec.17.example.nb| Mathematica example file]]


 * Lecture 18: Control Architectures ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:lecture.18.ppt| PPT]] or [[Media:lecture.18.pdf| PDF]] Readings  Feedback Control,  Feed Forward Control,  Cascade Control,  Ratio Control,  Common Control Loops for Temperature Control,  Common Control Loops for Reactors


 * Lecture 19: MIMO I:Numerical Decoupling ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or  .AVI  Slides: PPT or [[Media:lecture.19.pdf| PDF]] Readings  SVD and CN for decoupling,  RGA for assigning pairings Sup. materials:  [[Media:lec.19.SVD.example.nb| Mathematica example file for SVD, CN, and RGA]]


 * Lecture 20: MIMO II: Model Predictive Control ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: PPT or [[Media:lecture.20.pdf| PDF]] Readings  Model Predictive Control,  Neural Networks Sup. materials:  [[Media:class20.example.xls| class20.example.xls]]

Statistical Process Control

 * Lecture 21: Statistical Intro: Control Charts ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: PPT or PDF Readings  Statistics Introduction,  Six sigma,  Control charts, Sup. materials:  [[Media:Lecture.21.xls| Lecture.21.xls]],[[Media:Lecture.21.nb| Lecture.21.nb]]


 * Lecture 22: Comparing Distributions I: DMAC and Fishers Exact ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:Lecture.22.ppt|  PPT]] or [[Media:Lecture.22.pdf|  PDF]] Readings:  Six sigma,  Hypergeometric and binomial distributions, Sup. materials:  [[Media:Lecture.22.23.nb| Lecture.22.23.nb]]


 * Lecture 23: Comparing Distributions II: Bayes Rule and Acceptance Sampling( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:Lecture.23.ppt|  PPT]] or [[Media:Lecture.23.pdf|  PDF]] Readings  Bayes Rule and Probability,  Hypergeometric and binomial distributions, Sup. materials:  [[Media:Lecture.22.23.nb| Lecture.22.23.nb]]


 * Lecture 24: Comparing Distributions III: Chi squared and ANOVA ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:Lecture.24.ppt|  PPT]] or [[Media:Lecture.24.pdf|  PDF]] Readings  Factor analysis and ANOVA,  comparison of two means Sup. materials:  [[Media:Lecture.24.nb| Lecture.24.nb]], [[Media:Lecture.24.xls| Lecture.24.xls]]


 * Lecture 25: Design of Experiments: Taguchi Methods ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:Lecture.25.ppt|  PPT]] or [[Media:Lecture.25.pdf|  PDF]] Readings Taguchi methods,  Factorial designs


 * Lecture 26: Bayesian Networks I: Static Networks and Multinomial Distributions ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:Lecture.26.ppt|  PPT]] or [[Media:Lecture.26.pdf|  PDF]] Readings Bayesian Network Theory,  Multinomial distributions,  Optional: Learning Bayesian Networks with Genie Sup. materials:  [[Media:Multinomial.dist.nb| multinomial.dist.nb]]


 * Lecture 27: Bayesian Networks II: Dynamic Networks and Markov Chains ( Comments) Video:[[Image:YouTube_icon.png]] YouTube or .MOV or .AVI  Slides: [[Media:Lecture.27.ppt|  PPT]] or [[Media:Lecture.27.pdf|  PDF]] Readings  Markov Chains Sup. materials:  [[Media:miniTUBA.demodata.xls| miniTUBA.demodata.xls]]