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International School of Chemometrics 2022 - HYPER - Multivariate and Hyperspectral Image Analysis
Provider: Faculty of Science

Activity no.: 5328-22-04-27 
Enrollment deadline: 16/03/2022
Date and time25.05.2022, at: 09:00 - 26.05.2022, at: 16:00
Regular seats40
Activity Prices:
  - University staff/Non-profit600.00 kr.
  - Industry/For-profit1,500.00 kr.
ECTS credits1.00
Contact personHenriette Hansen    E-mail address: henha@food.ku.dk
Enrolment Handling/Course OrganiserRasmus Bro    E-mail address: rb@food.ku.dk
Written languageEnglish
Teaching languageEnglish
Semester/BlockSummer
Scheme groupNot included in the scheme group
Exam formCourse Participation; Written Assignment
Exam aidsAll aids allowed
Course workload
Course workload categoryHours
Lectures12.00
Exercises3.00
Preparation / Self-Study5.00
Report writing5.00
Sum25.00
Aim and content
The “International School of Chemometrics (ISC) – 2022” is a five-week PhD school specifically aimed at people having acquired some basic understanding of chemometrics. ISC will be offered at practitioner level.

“ISC – 2022” is addressed to PhD students/post-docs, associate professors, etc. who want to acquire further knowledge on advanced multivariate data analysis from different disciplines (Chemistry, Physics, Food Science, Biology, Geology, Environmental Sciences, etc.). ISC – 2022 also addresses companies or research laboratories who want to implement advanced multivariate data analysis in their daily research environment.

There is the possibility of attending the School via online and being granted with the corresponding ECTS

ISC – 2022 aims at being a platform for:

- Learning data analysis methods. ISC – 2022 is specifically designed for researchers who want to acquire extra knowledge on multivariate data analysis and adapt it in their routine work.

- Sharing knowledge and interchange of ideas between students covering different scientific backgrounds. One of the key points of the course is the interaction between the students and troubleshooting - always within the framework of scientific data analysis and performance.

- Meeting world-wide recognized experts of Multivariate Data Analysis in an open discussion forum environment. ISC - Challenges will count with teachers that are well-recognized experts on chemometrics and multivariate data analysis in their respective fields.

This, at the same time, will offer the possibility of opening new collaborative frameworks between students and teachers. The students enrolling will have the opportunity of choosing the seminars that they consider most relevant, without the obligation of attending a minimum amount of seminars.

Seminars and dates:
Each seminar is independent and the registration is individual. The students can choose to attend the seminars which they consider more relevant for their research. There is no minimum of seminars that the student must attend. In total, attending the whole school, one student can obtain up to 12 ECTS credits.

- PROGRAMMING (José Manuel Amigo, Sergey Kucheryavskyi and Anders Krogh Mortensen): This online prerecorded videos are thought to be an introduction of the main aspects dealing with Matlab, R and Python. Check the "detailed information website" for more information. 1 ECTS. Start the 25th of April, 2022.
- BASIC (José Manuel Amigo and Davide Ballabio): This seminar includes 2 parts. EXPLORE and CLASS. Basic introduction to Chemometrics. Data types, PCA, pre-processing, Multivariate Regression, Multivariate Classification. 5 days. 2.5 ECTS. 2 – 6 May 2022. From 9 am until 4 pm, with 1 hour lunch break.
- INTERMEDIATE (Asmund Rinnan, Anna de Juan and Rasmus Bro): This seminar includes 3 parts. VARSEL (variable selection methods), MCR (Multivariate Curve Resolution) and MULTIWAY (Multi-way analysis). 5 days. 2.5 ECTS. 9 – 13 May 2022 From 9 am until 4 pm, with 1 hour lunch break.
- CHALLENGES (Rasmus Bro, Federico Marini and Ricard Boqué): This seminar includes 3 parts. NONLIN (Non-linear modelling, FUSION (multiblock analysis and data fusion) and ERROR (Multivariate Error estimation). 5 days. 2.5 ECTS. 16 – 20 May 2022 From 9 am until 4 pm, with 1 hour lunch break.
- DoE (Riccardo Leardi): Design of Experiments. 2 days. 1 ECTS. 23 – 24 May 2022. From 9 am until 4 pm, with 1 hour lunch break.
- ASCA (Morten A. Rasmussen): ANOVA-Simultaneous Component Analysis. 2 days. 1 ECTS. 23 – 24 May 2022. From 9 am until 4 pm, with 1 hour lunch break.
- HYPER (Neal Galhaguer): Hyperspectral Image Analysis. 2 days. 1 ECTS. 25 – 26 May 2022. From 9 am until 4 pm, with 1 hour lunch break.
- METABO (Agnieszka Smolinska): Metabolomics Data Analysis. 2 days. 1 ECTS. 25 – 26 May 2022. From 9 am until 4 pm, with 1 hour lunch break.
- GLUE (José Manuel Amigo and Rasmus Bro): How NOT to Make Chemometrics. 27 May. 0.5 days. No ECTS.

Further information:
https://www.hypertools.org/isc
e-mail of ISC (ischemometricshelp@gmail.com)

HYPER - Multivariate and Hyperspectral Image Analysis
Hyperspectral imaging is an important analytical tool in a growing number of areas including the chemical sciences, process monitoring and forensics, cultural heritage, and remote and standoff sensing. Images are acquired utilizing a wide variety of spectroscopic techniques including, but not limited to, infra-red, mass spectroscopy, Raman, etc., and it is often confusing how to efficiently extract information from the sizeable, multi-wavelength images. This course will cover a variety of multivariate methodologies that can be applied to analysis and interpretation of hyperspectral data starting with principal components analysis (PCA) and using linked plots. Other techniques that will be discussed will include maximum autocorrelation factors, maximum difference factors, multivariate curve resolution (end-member extraction), target detection and targeted anomaly detection. This course will use the MATLAB environment with PLS_Toolbox+MIA_Toolbox and also the standalone software Solo+MIA_Toolbox. The course content will be useful for those involved in chemical, food, pharmaceutical and medical imaging, remote and standoff imaging.

Dates and timetable: From the 25th of May until the 26th of May, 2022. From 9 am until 4 pm (CET) with 1-hour lunch break (12 hours)

Previous knowledge needed: Principal Component Analysis. Multivariate Curve Resolution and Regression would also be useful.
Software: Matlab and PLS_Toolbox. IMPORTANT: For the PLS_Toolbox a fully functional demo will be available for the School.
Teacher: Neal B. Gallagher

Learning outcome
The intended learning outcomes are divided into two categories:

1) Individual learning outcomes: the main target for each individual seminar is to learn the basis of one data analysis method focused on several proposed examples. The students have to be able to apply the acquired knowledge to any problem related to their own research.

2) Global learning outcomes: Students attending all the seminars will, at the end of the course, be able to understand the structure of a vast amount of data structures and also to understand the problems derived from the data. Moreover, they will be independent in the application of solutions to their problems in a dedicated manner.

Remarks
The price for participating is as follows (same price for online and physically present):

Academia: DKK 600 per ECTS (approx. EUR 81 / USD 98)
Industry: DKK 1500 per ECTS (aprox. EUR 200 / USD 245)

Payment must be completed before the course starts. Information on the method of payment will be provided after confirmation of registration.

All seminars include all the material that the student might need:
- Slides of the course (pdf).
- Exercises
- Datasets
- Toolboxes
- Refreshment during the lessons (coffee, tea, candies, cookies, and other amenities). This, of course, if we are allowed due to the COVID-19 pandemic situation
- Unlimited Off-line access to the videos of the lessons until the end of 2021.
- We do NOT provide: Matlab and lunch


Grants
ISC-2022 will offer TWO grants for students. The grant will cover the subscription fee for all the seminars. In order to apply for the grant, you need to send two documents to ischemometricshelp@gmail.com:

1) A paper that certifies that you are a student at any level (BSc, MSc or PhD student).
2) One page describing why you need to be at the School. How the School can be helpful in your research (Times New Roman, 11 pt. with 1.5 line space).
The selection committee will be formed by Prof. Rasmus Bro and Prof. José Manuel Amigo. The announcement will be made no later than the end of March 2022.


Best Poster Award for physically present attendants
In order to foment collaboration between us and interchange ideas, CSC-2022 will include different poster sessions. Therefore, we would like to invite you to submit an abstract to the school. The abstract and poster are intended to promote the interchange of ideas between us, students and teachers.

The work does NOT NEED to be original. It can be original or it could have been presented in another conference. It can perfectly be an abstract that expresses your worries or doubts about an experiment that you want to perform.

1) The abstract:
- It should not be longer than 2 A4 pages, including figures, tables and references.
- The language must be English and formatted in Times New Roman, 11 pt. with 1.5 line space.
- It must be submitted in pdf

2) The poster:
- It must be in A3 size. I know that this is not a normal size for a poster. Nevertheless, we have very limited extra space.

Best poster award: The best poster will be chosen among the participants. The winner will receive a diploma and an award (a good one :). Depending on the number of posters presented, there might be one or two runner-ups. They will receive a diploma and some other surprises.

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