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Multi-way analysis – tensor modeling
Provider: Faculty of Science

Activity no.: 5321-17-04-31 
Enrollment deadline: 02/05/2017
PlaceDepartment of Food Science
Date and time03.05.2017, at: 09:00 - 09.05.2017, at: 16:00
Regular seats25
ECTS credits3.00
Contact personRasmus Bro    E-mail address: rb@food.ku.dk
Enrolment Handling/Course OrganiserRasmus Bro    E-mail address: rb@food.ku.dk
Written languageEnglish
Teaching languageEnglish
Semester/BlockSpring
Block note1 full week, 3-9th of May 2017.
Exam formOral presentation of written report
Exam detailsEach person will analyze his or her own data and write a short report within the time frame of the course
Grading scalePassed / Not passed
Course workload
Course workload categoryHours
Preparation15.00
Exercises15.00
Lectures32.00
Project work10.00
Exam3.00
Sum75.00
Content

Introduction to two-way chemometrics

PARAFAC modeling

PARAFAC2 modeling

N-PLS modeling

Tucker3 modeling

Preprocessing of multi-way arrays

Validation

Advanced aspects

Learning outcome
After completing 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, PARAFAC2 and TUCKER. The methods treated will explicitly or implicitly cover the following application areas: classification, calibration, prediction, process optimization, spectral resolution, restrictions and interpretability of solutions.The student must be experienced in the critical use of PCA and PLS and must also be familiar with MATLAB.

Literature
Several papers will be provided before the course.

Teaching and learning methods
The course will be using lectures and practical exercises. PLS_Toolbox for Matlab is used throughout and must be installed before the course. Please bring your own data to the course and make sure it is readily available in Matlab. Your own data will form the basis for the final report.

Remarks
In order to enrol on this course, please:

1) Click on "Apply" and

2) Send an e-mail to Rasmus Bro, rb@food.ku.dk.

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