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International School of Chemometrics - 2023
ISC - 2023
WE ARE FULLY BOOKED!
Signing up for the International School of Chemometrics - ISC - 2023 has been closed. Also, the application for the Grant. We are fully booked!
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.
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:
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).
- Refreshments during the lessons (coffee, tea, candies, cookies, and other amenities).
- We do NOT provide: Matlab and lunch