The course offers a platform for students and researchers to start handling and managing their scientific data. The course gives a first impression of the possibilities of MATLAB and its structure, data handling, plotting facilities, and the beginning of programming.1- Introduction to MATLAB interface, 2- Array structures in MATLAB, 3- Basis of Chemometrics. PCA and PLS in MATLAB, 4- Scripts, functions and loops, 5- Plotting tools6- Tricks and useful stuff, 7- Exam
Knowledge, skills, competences:- MATLAB interface: being able to “move around” in the most important utilities and windows in MATLAB- Programming: being able to understand the structure of functions and to create small functions independently; to use loops and conditions in MATLAB programming.- Data structure: being to identify and use different arrays structures of MATLAB and different ways of creating structures for data.- Data handling: learn different ways of importing and handling data, searching tools and data managing.- Chemometrics: being able to apply the basic Chemometric tools Principal Component Analysis and Partial Least Squares regression.- Graphical representation: being able to use basic and advanced static and dynamic plots.
Handouts and scientific papers provided during the course; scripts and source code provided during the course.
Publication of new courses
All planned PhD courses at the PhD School are visible in the course catalogue. Courses are published regularly.