NSCPHD1156 Multi-way analysis (generic course)
The course will focus on multi-way techniques such as
multilinear-PLS, PARAFAC, and TUCKER as well as a short review of
classical chemometric methods (PCR, PCR, PLS).
Introduction to MATLAB
Introduction to two-way chemometrics in MATLAB
PARAFAC modeling
N-PLS modeling
Tucker3 modeling
Preprocessing of multi-way arrays
Advanced aspects
A written report will be prepared in groups of two students. We
urge the participants to bring their own data from research/student
projects and use them as a basis for the written report.
http://www.kursusinfo.life.ku.dk/Kurser/PhD-multiway.aspx
After completed course the students will be able to apply advanced chemometric methods on real world problems. The course will focus on multi-way techniques such as multilinear-PLS, PARAFAC, and TUCKER as well as a short review of classical chemometric methods (PCR, PCR, PLS). The methods treated will explicitly or implicitly cover the following application areas: classification, calibration, prediction, process optimization, spectral resolution, restrictions and interpretability of solutions.
- Category
- Hours
- Exam
- 4
- Guidance
- 30
- Lectures
- 40
- Practical exercises
- 30
- Preparation
- 30
- Project work
- 60
- Theory exercises
- 30
- Total
- 224
- Credit
- 8 ECTS
- Type of assessment
- Written assignmentOral defence
- Marking scale
- passed/not passed
Course information
- Language
- English
- Course code
- NSCPHD1156
- Credit
- 8 ECTS
- Level
- Ph.D.
- Duration
- 1 block
- Placement
- Autumn
- Schedule
- The course takes place in September and will be available in two versions. One where the practial work is done onsite (3 weeks total) and finalized with a report and exam. And another version where (mainly foreign) students come for the first week of theory and then at home prepare a report for later approval. These students will have 4 weeks for preparing the report.
- Course capacity
- max. 20 participants
- Study board
- Natural Sciences PhD Committee
Contracting department
- Department of Food Science
Course responsibles
- Rasmus Bro (2-7666446a737368326f7932686f)