NSCPHD1012 Introduction to MATLAB for Multivariate Data Analysis
PhD
PLEASE NOTE
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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
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 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.
- Category
- Hours
- Exam
- 1
- Lectures
- 15
- Practical exercises
- 20
- Preparation
- 25
- Project work
- 15
- Total
- 76
Contact Jeanette Venla Hansen jvh@food.ku.dk or José Manuel Amigo jmar@food.ku.dk no later that 2 weeks before the starting date.
- Credit
- 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
Course information
- Language
- English
- Course code
- NSCPHD1012
- Credit
- 3 ECTS
- Level
- Ph.D.
- Duration
- 5 day course, 7 contact hours a day
2016: April, 7 - 15 - Placement
- Spring
- Schedule
- This course is a 5-day focused at PhD (candidate) level with an interest in using the programming and analysis software MATLAB (MATrix LABoratory) for general Data Analysis and Chemometric modeling.
- Course capacity
- Max. 15 participants
- Continuing and further education
- Price
No fee for PhD students from the association Danish Universities. Any other participants 1000 DKK.
- Study board
- Natural Sciences PhD Committee
Contracting department
- Department of Food Science
Course responsibles
- Jose Manuel Amigo Rubio (4-6d7064754369727267316e7831676e)
Lecturers
Dr. José Manuel Amigo Rubio, Dr. Frans van den Berg and Dr. Evrim Acar