Difference between revisions of "CHEM-6111"

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(Special Topics - Data Analysis and Acquisition - Tentative Outline)
(Special Topics - Data Analysis and Acquisition - Tentative Outline)
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* Data Analysis
 
* Data Analysis
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** propagation of errors
 
** Basic analysis: interpolation, area integrals, multidimensional data handling
 
** Basic analysis: interpolation, area integrals, multidimensional data handling
 
** Statistics: calculating statistical parameters, distributions, precision, uncertainty, ANOVAA
 
** Statistics: calculating statistical parameters, distributions, precision, uncertainty, ANOVAA

Revision as of 13:48, 16 August 2012

Special Topics - Data Analysis and Acquisition - Tentative Outline

This 3-credit course will be offered by Dr. Ingrid Ulbrich (with assistance from Prof. Jose L. Jimenez) in Fall of 2012. It will be a required course for 1st year analytical chemistry students, and optional for others. The course number may be special topics, depending on whether CU can approve the new course number by then.

  • Introduction to computer graphing, functions and programming (Igor)
  • Data Analysis
    • propagation of errors
    • Basic analysis: interpolation, area integrals, multidimensional data handling
    • Statistics: calculating statistical parameters, distributions, precision, uncertainty, ANOVAA
    • Correlation and regressions (variants)
      • vertical vs orthogonal distance
      • squared vs absolute value errors
      • weighted vs unweighted
    • boxcar and weighted smoothing
    • convolution (student request to IMU)
    • Numerical solution of ODEs
    • Frequency analysis and FFT
    • Montecarlo simulations
    • Fitting & Levenberg-Marquardt (as users)
    • Principal Component Analysis and Positive Matrix Factorization
    • Data analysis problems brought by students from their research
    • comparing model data, global datasets (Donna?)
  • Data Acquisition
    • Fundamentals of data acquisition
    • Data I/O, parsing of text files, write to file etc.
    • Labview: introduction and programming
    • Signal-to-noise, noise reducing measures, signal enhancing measures, numerical high pass filters, low pass filters etc.
    • Data acquisition problems brought by students from their research
  • Potential Texts
    • Numerical Recipes (online)
    • Building Scientific Apparatus (Moore, Davis, and Coplan)
    • Taylor Error Analysis
    • Stuff from Amber's stats class