2020-2021 Greensburg Campus Catalog


Minimum Credits: 3
Maximum Credits: 3
This course is an introduction to mathematical and statistical methods and techniques for analysis of data and results generated by various instrumental methods of chemical analysis (e.g., UV-visible, fluorescence, NMR, and FTIR spectrome tric methods, gas and liquid chromatographic methods, GC/MS, voltammetric methods), which are capable of producing large amounts of data for multiple samples and analyses in a single experiment. Topics to be covered include review of descriptive statistics, rejection and retention of outlier data, significance testing involving two or more data sets, matrix operations, analyte quantitation via univariate and multivariate calibration (e.g., direct and inverse calibration and quantitation) and regression (e.g., ordinary (OLS), inverse (ILS), and partial least squares (PLS), principal component (pc), and singular value decomposition (SVD) regression) methods, and analyte identification via pattern recognition methods (e.g., principal component analysis (PCA), factor analysis (fa), and singular value decomposition (SVD)). Emphasis will be placed on multivariate systems, and approaches for determination of multiple analyte concentrations in such systems using various chemometric tools. Software such as Microsoft excel' and Matlab will be used extensively for analysis of large and small amounts of analytical data. The assessments for this course will be take-away assignments to be completed independently by the students.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: LG/SNC Elective Basis
Course Requirements: PREQ: CHEM 0250

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