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International School of Chemometrics - 2023
ISC - 2023

The International School of Chemometrics - ISC - 2023 is OPEN AGAIN!!!

ISC-2023 is what you need for learning Chemometrics (Machine Learning in Sciences)

FOUR-week school designed to introduce different key aspects of Data Science and Machine Learning in different branches of science (chemistry, food & feed, physics, environmental, political economics, etc).

 

ISC-2023 is open to everybody

Addressed to BSc, MSc, PhD students/post-docs, associate professors, etc. who want to acquire or refresh basic knowledge on multivariate data analysis from different disciplines. It is also addressed to researchers working in industry or research laboratories wanting to implement multivariate data analysis in their daily research environment.

 

ISC-2023 is an intensive school

Held in four consecutive weeks (one of them not physically present) structured in different seminars/modules where the students will be more than welcome to work with their own data together with high-qualified teachers.

Meeting worldwide recognized experts of Multivariate Data Analysis in an open discussion forum environment

ISC-2023 counts on teachers that are well-recognized experts in 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.

 

CHOOSE YOUR OWN SCHOOL. ISC-2023 is made of independent seminars!!!

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.

Dates: From the 29th of May until the 23rd of June, 2023

Place: University of Copenhagen, Denmark. Frederiksberg Campus.

Online: No online teaching is offered this year. The lessons will be only physically present. 

Seminars: 
This is a brief description of the seminars at ISC-2023. For further details, see below

1 - PROGRAMMING - Introduction to Programming for Multivariate data analysis in Matlab, Python and R 
This online seminar is based on online pre-recorded videos that are thought to be an introduction to the main aspects of dealing with Matlab, R and Python focused on Multivariate Data Analysis.


2 - BASIC - Basic Introduction to Chemometrics and Linear Algebra
This seminar includes two parts. EXPLORE and LINAL. A basic introduction to Chemometrics. Data types, PCA, pre-processing, Multivariate Regression, and Linear Algebra focused on Chemometrics.

3 - INTERMEDIATE:
This seminar includes three parts. CLASS, Multivariate Classification; VARSEL, variable selection methods; MCR, Multivariate Curve Resolution.

4 - DL - Non-Linear Modeling / Deep Learning
This seminar includes two parts. Methods for Non-linear modeling and the different architectures of Artificial Neural Networks (basic structures, shallow neural networks and deep neural networks.

5 - DoE - Design of Experiments 
Design of Experiments is an essential part of sciences that helps the optimization of processes, the study of experimental domains and, consequently, gaining in knowledge. This seminar will explore the main experimental designs used in sciences.

6 - ASCA - ANOVA Simultaneous Component Analysis 
Based on ANOVA variance partitioning followed by bi-linear modeling of the individual effect matrices, the method offers detailed insight into small systematic variance contributors that otherwise are masked and uncovered by traditional techniques such as PCA.

7 - MW - Multiway Data Analysis
Methods like parallel factor analysis (PARAFAC) and PARAFAC2 will be studied and applied to different examples.-Simultaneous Component Analysis.

8 - DF - Data Fusion
The seminar will deal with the chemometric approaches for integrating (“fusing”) data from different sources. We will learn the different strategies for fusing data, analyzing it, and interpreting the results.

9 - GLUE (How not to make Chemometrics) and WORKSHOP

We will take a very close look at all the most common mistakes that even experienced people will do when doing multivariate analysis. We will cover exploration, calibration, interpretation, visualization and many other subjects. And always with a focus on what is the most common problem as well as a sounder alternative. 

Workshop: Any student of the School will be able to ask whatever question remaining from any seminar. Also, there will be time to work on your own data and check with us on the analysis workflow.
 

Calendar, ECTs and teachers:

Calendar.png

Price per ECTS (Fee):

See further details for each seminar

- University member (any BSc, MSc and Ph.D. student): 600 DKK per ECTS (The payment is made in Danish Krona - DKK - Approx. 80 euro / 80 USD)

- Industry/Private company: 1500 DKK per ECTS (The payment is made in Danish Krona - DKK - Approx. 200 euro / 200 USD)

All seminars include all the material that the student might need: 

- Slides of the course (pdf).

- Exercises

- Datasets

- Toolboxes

- Refreshments during the lessons (coffee, tea, candies, cookies, and other amenities).

- We do NOT provide: Matlab and lunch

Grants!!!

ISC-2023 will offer TWO student grants. The grant covers the ENTIRE fee of the School. It is open to any student at any level (BSc, MSc or Ph.D.). The requirements are easy. Send us an e-mail with the following information:
- Certificate of studentship from your institution.
- A one-page document explaining why you need to join us in the School.

Best Poster Award!!!

In order to foment collaboration between us and interchange ideas, CSC-2023 will include different poster sessions. Therefore, I 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 at another conference. It can perfectly be an abstract that expresses your worries or doubts about an experiment that you want to perform.

 

Any School Student can bring a poster (University member or Private)!
 
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 winner will receive the return of the complete fee of the seminars that s/he has attended.

Key Dates:

- 2022, September, 20th: Registration Open

- 2023, April, 1st: Deadline for submitting an application for the grant

- 2023, May, 1st: Decision of granted students

- 2023, May, 10th: Deadline for cancellations

- 2023, May, 22nd: Deadline for payment

- 2023, May, 29th: Deadline for submitting an abstract (for the Poster)

- 2023, May, 29th: The First seminar starts

- 2023, June, 5th: The Physically present lessons start

Seats: There will be a maximum of 30 seats per seminar. 

If you are interested or have any question, please, write an email to:

ischemometricshelp@gmail.com