CHEM 227
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Principles of Chemical Analysis
Chemistry and Biochemistry
College of Computational, Mathematical & Physical Sciences
Course Description
Principles of quantitative analysis, introductory instrumental methods, and computer applications to chemical analysis.
When Taught
Fall; Spring.
Min
4
Fixed/Max
4
Fixed
2
Fixed
6
Recommended
Chem 201 or concurrent enrollment.
Note
Cost for non-returnable materials and breakage will be charged to the student account at the end of the semester. Students are required to attend both the lecture and the lab.
Learning Outcome
Demonstrate skill in performing precise, careful, basic laboratory operations such as sample preparation, calibration techniques, spectrophotometry, electrochemical analysis, titrimetric and chromatographic methods
Learning Outcome
Explain basic measurement methods and devices
Learning Outcome
Show proficiency in reporting scientific results in numerical, graphical, and written formats, and be able to explain the ethical standards for such reports
Learning Outcome
Show proficiency in using computer programs for data analysis
Learning Outcome
Apply basic statistics to data analysis including, confidence intervals, t-test, linear regression, propagation of error, sampling statistics and signal-noise enhancement
Learning Outcome
Critically evaluate experiments and data with respect to theory and models
Learning Outcome
Apply knowledge to new problems, including the design and validation of new analytical methods
