Optimization Methods in Chemistry 1200-2SPEC52M
1. Conception of experiment, experimental error from statistical point of view, statistical estimating, maximum likelihood function.
2. Maximum likelihood function in the case of experiment with errors subjected to normal distribution of errors, methods derived from maximum likelihood method, MML (Multiresponse Maximum Likelihood) method, weighed (methods of error propagation) method of least squares, simplified method of least squares (mostly used due to its simplicity and, probably, due to ignorance of users).
3. Regression and correlation. Methods of parameters fitting in models based on statistical testing.
4. Variance analysis, statistical tests.
5. Statistical tools implemented in MSExcel, use of built-in VBA programming language.
Type of course
Mode
Prerequisites (description)
Course coordinators
Learning outcomes
Student uses practical knowledge of application of maximum likelihood function for correct developing of optimization criteria. Practically uses of built-in in the MSExcel application programming language VBA (Visual Basic for Application).
Assessment criteria
Student's activities during practical training and, optionally, short test with grading when needed.
The maximum number of absences should not exceed 20% of the total class time.
Practical placement
not concern
Bibliography
1. Czermiński J., Iwasiewicz, A., Paszek, Z., Sikorski, A, Metody statystyczne dla chemików, PWN, Warszawa 1992.
2. Korzyński Mieczysław, Metodyka eksperymentu. Planowanie, realizacja i statystyczne opracowanie wyników eksperymentów technologicznych, WNT, 2006
3. Koronacki Jacek, Mielniczuk Jan, Statystyka dla studentów kierunków technicznych i przyrodniczych, WNT, 2006.
Additional information
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