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KMM015 Process Analysis 6.0 ECTS credits | |
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TIMEPERIOD: Q IV LANGUAGE:Swedish EXAMINER Bertil Pålsson Univ lekt PREREQUISITES Basic course in Mathematical Statistics (IEK020), basic course in general chemistry (e.g. KMK042), and - completed - basic engineering courses from the third year at the university (e.g. KMM005, KMP004, KMA001 and KMT003. COURSE AIM To develop skills in research planning, optimisation and multivariate data analysis with their application to industrial processes. CONTENTS The course is about the extraction of information from chemical process data. It contains experimental design (factorial designs with several levels, reduced factorial designs), response surface models and variance analysis. Within multivariate analysis the following is treated: principal component analysis (PCA), "partial-least-squares"-regression (PLS), multivariate discriminant analysis (SIMCA), time lags in data, multivariate statistical process control (MSPC) and batch-wise statistical process control (BSPC). An orientation about other multivariate techniques is included. The education is based on data from industrial processes. TEACHING The instruction consists of lectures, lessons, compulsory assignments/laboratory classes and a project. For each assignments, the students have to provide a report, which should be technically, statistically and grammatically correct. The project report should be in a standard report format typical for an industrial report. It is defended at a joint seminar. EXAMINATION COURSE GRADE SCALE: U, G ITEMS/CREDITS | |
| Project work | 3.00ECTS |
| Laboratory work - Assignment report | 3.00ECTS |
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COURSE LITERATURE Multi- and Megavariate Data Analysis: Principles and Applications. L.Eriksson, E. Johansson, N. Kettaneh-Wold, and S. Wold. ISBN 91-973730-1-X REMARKS The course is for students in the chemistry programs. Students in other programmes are accepted if capacity permits it. Further information: International Office |
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