NSCPHD1090 Multi-way analysis (generic course)
PLEASE NOTE
The PhD course database is under construction. If you want to sign up for this course, please click on the link in order to be re-directed. Link: https://phdcourses.ku.dk/nat.aspx
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.models.life.ku.dk/multiwaycourse
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
- NSCPHD1090
- Credit
- 8 ECTS
- Level
- Ph.D.
- Duration
- 3 weeks
- Placement
- Autumn
- Schedule
- The course takes place in September during 3 full weeks - alternatively 2 weeks attendance and then analysis and report is made after the course - contact course responsible for information about this option.
- Course capacity
- max. 20 participants
- Study board
- Natural Sciences PhD Committee
Contracting department
- Department of Food Science
Course responsibles
- Rasmus Bro (2-7969476d76766b35727c356b72)