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International School of Chemometrics 2023 - PROGRAMMING - Introduction to Programming (Matlab, R and Python) for Multivariate Data Analysis
Provider: Faculty of Science

Activity no.: 5328-23-04-21 
Enrollment deadline: 08/05/2023
Date and time29.05.2023, at: 09:00 - 02.06.2023, at: 16:00
Regular seats27
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
Lectures10.00
Exercises5.00
Preparation / Self-Study5.00
Report writing5.00
Sum25.00
Aim and content
The “International School of Chemometrics (ISC) – 2023” is a four-week PhD school specifically aimed at people having acquired some basic understanding of chemometrics. ISC will be offered at practitioner level.

“ISC – 2023” 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 – 2023 also addresses companies or research laboratories who want to implement advanced multivariate data analysis in their daily research environment.

ISC – 2023 aims at being a platform for:

- Learning data analysis methods. ISC – 2023 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.

- 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 29th of May, 2023.
- BASIC (José Manuel Amigo and Morten Rasmussen): This seminar includes 2 parts. EXPLORE and LINAL. Basic introduction to Chemometrics. Data types, PCA, pre-processing, Multivariate Regression, Linear Algebra for Multivariate Data Analysis. 5 days. 2.5 ECTS. 5 – 9 June 2023. From 9 am until 4 pm, with 1 hour lunch break.
- INTERMEDIATE (Davide Ballabio, Asmund Rinnan, Anna de Juan): This seminar includes 3 parts. CLASS (Multivariate Classification), VARSEL (variable selection methods) and MCR (Multivariate Curve Resolution). 5 days. 2.5 ECTS. 12 – 16 June 2023. From 9 am until 4 pm, with 1 hour lunch break.
- DEEP LEARNING (Rasmus Bro, Jesper Løve Hinrich): This seminar is an introduction to non-linear methods and deep learning. 3 days. 1.5 ECTS. 19 – 21 June 2023. From 9 am until 4 pm, with 1 hour lunch break.
- DESIGN OF EXPERIMENTS (Agnieszka Smolinska): This seminar will teach the basic Design of Experiments that we use in Science. 2 days. 1 ECTS. 19 – 20 June 2023. From 9 am until 4 pm, with 1 hour lunch break.
- ASCA (Morten Rasmussen): ANOVA-Simultaneous Component Analysis is the perfect method to elaborate ANOVA in multivariate data. 1 day. 0.5 ECTS. 21 June 2023. From 9 am until 4 pm, with 1 hour lunch break.
- MULTIWAY (Rasmus Bro): Methods like PARAFAC, PARAFAC2 and N-PLS will be taught. 1 day. 0.5 ECTS. 22 June 2023. From 9 am until 4 pm, with 1 hour lunch break.
- DATA FUSION (Federico Marini): Data Fusion is gaining extreme importance in science. This seminar is an introduction to the main methods to fuse your data. 1 day. 0.5 ECTS. 22 June 2023. From 9 am until 4 pm, with 1 hour lunch break.
- GLUE (José Manuel Amigo, Rasmus Bro and Federico Marini): How NOT to Make Chemometrics and afternoon workshop to talk about your particular needs. 1 day. NO ECTS. 23 June 2023. From 9 am until 4 pm, with 1 hour lunch break.

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

PROGRAMMING. Introduction to Programming (Matlab, R and Python) for Multivariate Data Analysis

Since the very beginning, the ISC has always counted with a first week of Introduction to Matlab for Multivariate Data Analysis. It was a week that worked very well. We wanted to create something special. We have had many requests regarding Python and R. Therefore, we have decided to create a new module that includes the three major languages!

How does it work?

- Due to time constraints, the lessons will be online with pre-recorded videos.

- The topics will be:
1) Language structure; 2) vectors and matrices; 3) arrays; 4) Basic operations; 5) Graphical Output, beginning; 6) Data structures and datasets; 7) Loops; 8) Conditions; 9) Another tricks in control flow; 10) Functions; 11) Data preprocessing; 12) Principal Component Analysis; 13) Graphical Output, advanced; 14) Images. We are planning between 4 - 6 hours of recordings per language.

- They are three simultaneous courses. One per language, BUT:
1) The student will have access to ALL THE MATERIAL AND VIDEOS for the three courses. It is up to the student which language to follow.
2) ALL THE EXACT SAME MATERIAL (examples, exercises, etc) will be reproduced in the three languages.

- The videos and material will be released on the 29th of May, 2023, and they will stay available until the end of October 2023. Only the students who signed up officially will have access to the videos and material. It is REALLY ADVISABLE that the students run the material and practice during the week from the 29th of May until the 2nd of June. During that period, we will create a consultancy platform where the teachers will be available to answer your questions and doubts.

Dates and timetable: 29th of May - 2th of June.

Previous knowledge needed: None

Software needed: Matlab, R, Python

Teachers: José Manuel Amigo (Matlab), Sergey Kucheryavskyi (R), Anders Krogh Mortensen (Python).

ECTS: 1

NOTE: There is no poster session for this seminar

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)
- We do NOT provide: Matlab and lunch

Best Poster Award for physically present attendants:
In order to foment collaboration between us and interchange ideas, ISC - 2023 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. See further instruction https://www.hypertools.org/isc

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