NSCPHD1012 Introduction to MATLAB for Multivariate Data Analysis
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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
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 tools
6- 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.
- Practical exercises
- Project work
- 3 ECTS
- Type of assessment
- Written assignmentWritten report based on 5 short examination assignments; work out by the participants individually. The reports have to be handed in maximally one week after the last lecture and are evaluated and credited with PASS/FAIL by the course lectures.
- Marking scale
- passed/not passed
- Censorship form
- No external censorship