Login for PhD students/staff at UCPH      Login for others
Multi-way analysis – tensor modeling
Provider: Faculty of Science

Activity no.: 5321-19-04-31 
Enrollment deadline: 28/05/2019
Date and timeJune 2019
Regular seats27
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 in June depending on the course Copenhagen School of Chemometrics. This course will be the week after this course ends
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
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.

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 in this course, please:

1) Click on "Apply" and

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

Search
Click the search button to search Courses.


Course calendar
See which courses you can attend and when
JanFebMarApr
MayJunJulAug
SepOctNovDec



Publication of new courses
All planned PhD courses at the PhD School are visible in the course catalogue. Courses are published regularly.