| Course
                                                    Materials 
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                                                | Lecture
                                                    set
                                                    1 | Introduction 
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                                                    1   part 2 
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                                                | 
 | Tutorial
                                                  1 
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 | answer 
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 | Tutorial
                                                  2 The jupyter nb html
                                                    is extra only for
                                                    those interested. It
                                                    is NOT as complete
                                                    as, and not a
                                                    substitute for as
                                                    the Mathematica nb.
 
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 | answer 
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 | Tutorial
                                                  2.5 see the html
                                                    jupyter nb for
                                                  the sound exercise
                                                  (section 3)
 
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 | Tutorial
                                                  3 (if the html is too
                                                  slow to load, visit
                                                  each sub-page) page
                                                    1  page
                                                    2   page 3
 
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 | Student-individual-interest
                                                  project example: dipole
                                                    array far-field 
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 | Student-individual-interest
                                                  project example:
                                                  classification
                                                  (discussed in class) 
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                                                | Lecture
                                                  set 2 | Intro
                                                  to computer capability
                                                  and limitation -
                                                  precision and accuracy
                                                  concept 
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                                                | Lecture
                                                  set 3 | Binary
                                                  number representation 
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 | Tutorial
                                                  4 | 
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                                                | Lecture
                                                  set 4 
 | Polynomials,
                                                  Zeros, and Roots 
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                                                | 
 | Supplementary
                                                  note: polynomials 
 
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                                                | Lecture
                                                  set 8 
 | Fourier
                                                  and Application in
                                                  Linear Time Invariant
                                                  System 
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 | Lecture
                                                  segment 1: concept of
                                                  spectrum 
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                                                | 
 | Lecture
                                                  segment 2: review
                                                  Fourier transform and
                                                  Fourier analysis
                                                  concept-Part 1 
 |    |  | html
                                                  version of .nb for
                                                  file error check   | pdf
                                                  version for .nb file 
  
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 | Lecture
                                                  segment 2: review
                                                  Fourier transform and
                                                  Fourier analysis
                                                  concept-Part 2 |  | 
 | html
                                                  version of .nb for
                                                  file error check  |  | 
                                              
                                                | 
 | Lecture
                                                  segment 2: review
                                                  Fourier transform and
                                                  Fourier analysis
                                                  concept-Part 3 
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 | html
                                                  version of .nb for
                                                  file error check   | pdf
                                                  version for .nb file 
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                                                | 
 | Lecture
                                                  segment 3: discrete
                                                  Fourier transform
                                                  (FFT)-Part 1 
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 | Lecture
                                                  segment 3: discrete
                                                  Fourier transform
                                                  (FFT)-Part 2 
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                                                | 
 | Fourier
                                                  analysis and
                                                  techniques (cont.) 
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                                                | 
 | Supplementary
                                                  note: Fourier tutorial
                                                  series - segment 1
 
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                                                | 
 | Supplementary
                                                  note: Fourier tutorial
                                                  series - segment 2
 
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                                                | 
 | Supplementary
                                                  note: Fourier tutorial
                                                  series - segment 3:
                                                  the programming
                                                  nitty-gritty
                                                  practicals of doing
                                                  numerical Fourier
                                                  transform and
                                                  applications to HW.
 
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                                                | 
 | Additional
                                                  Fourier demos 
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                                                | 
 | Laplace
                                                  transform 
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                                                | Lecture
                                                  set 9 
 | Part A:
                                                  Numerical Fitting/
                                                  Regression note: ppt/pdf file
                                                    is only a summary,
                                                    main lecture is in
                                                    the Mathematica file
                                                  ->
 
 |       check html version for
                                                  potential .nb download
                                                  error
 
 | Use
                                                  this app (Sect. 3) 
  
 | fortune100   Advertising
  
 | Auto  Credit
  Bodystat
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                                                | 
 | mixed
                                                  Tutorial Data Analysis
                                                  and lecture 
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                                                | 
 | Part A
                                                  - continued.
                                                  Introduction to Data
                                                  Clusters and
                                                  Classification. Lecture and demo only
 
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                                                | Lecture
                                                  set 9 
 | Part B:
                                                  Interpolation/approximation,
                                                  Spline (smoothing) 
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                                                | Lecture
                                                  set 10 
 | Stochastic
                                                  Phenomena,
                                                  Probability, Monte
                                                  Carlo Methods 
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                                                | 
 | Intro
                                                  to Monte Carlo concept
                                                  (segment 1) - Examples
                                                  on shot noise and
                                                  thermal noise 
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 | Intro
                                                  to Monte Carlo concept
                                                  (segment 2) - Types of
                                                  stochastic process and
                                                  common distributions 
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 | Intro
                                                  to probability and
                                                  Bayes' rule (segment
                                                  1)- Probability and
                                                  descriptive statistics 
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 | Intro
                                                  to probability and
                                                  Bayes' rule (segment
                                                  2)- Bayes' rule,
                                                  Bayesian decision, BBN 
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 | Data
                                                  clusters and
                                                  classification
                                                  revisited. 
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 | Intro
                                                  to stochastic calculus
                                                  and financial
                                                  applications 
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                                                | Lecture
                                                  set 11 
 | Numerical
                                                  methods for
                                                  differential equations 
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                                                  Eq. (segment 1) -basic 
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                                                  Eq. (segment 2)
                                                  -system of equations |    | 
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 | Diff
                                                  Eq. (segment 3)
                                                  -additional
                                                  illustrations,
                                                  examples 
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                                                | 
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                                                | Supplementary
                                                    materials
 
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                                                | 
 | A note
                                                  about programming and
                                                  Mathematica syntax 
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 | Python-Mathematica
                                                  introductory "rosetta" |  | 
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 | Sound
                                                  recording problem 
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                                                | Style Sheet
 
 | ECE3340
                                                  Mathematica notebook
                                                  stylesheet. (See
                                                  explanation in class
                                                  how to install).
                                                  Download the file to
                                                  the right. 
 For Windows, first,
                                                  delete old stylesheet
                                                  of the same name
                                                  ECE3340 if exists,
                                                  then put the
                                                  downloaded file into
                                                  folder:
 ProgramData\Mathematica\SytemFiles\FrontEnd\StyleSheets
 
 For Mac OS:
 ~/Library/Mathematica/SytemFiles/FrontEnd/StyleSheets
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