Description: A. Data acquisition: Transducers, interfacing with signal acquisition and processing systems. B. Processing and analysis of data: a) Experimental designs and data analysis software. Types and choice of factorial design. Multiple linear regression and evaluation of model fitting to data (statistical interferology). Analysis of variance for more than one dependent variables (MANOVA) and methods of grouping variables. Response surface designs and methods for process optimization. Application in Pharmaceutical Technology using statistical and graphical software programs: SPSS, EXCEL, SIGMAPLOT. b) Analysis of data using Artificial Neural Networks. Theoretical considerations. Types of neural networks. Computer programs available for neural networks simulation. c) Exploratory data analysis. Methods for analysis based on graphical representation of data (Data Visualization). Static representation of data – modern techniques. Interactive dynamic graphics.
ECTS: 10
Hours: 3
Description MODIP:

Professor:
Computer Applications in Pharmaceutical Technology (postgraduate course)