Copenhagen School of Chemometrics

 

 

Copenhagen School of Chemometrics CSC-2018

 

Welcome to the homepage of “Copenhagen School of Chemometrics. CSC-2018”. Here you will find information about the course, its structure, the examination and other relevant aspects. If you have any comments or questions, just send an e-mail to jmar@life.ku.dk.

 

Practical details 

Official homepage for the Complete course:    https://phdcourses.ku.dk/DetailKursus.aspx?id=103964&sitepath=NAT
Official homepage for each seminar: Please, check https://phdcourses.ku.dk/Kursusliste.aspx?TermId=419&KatId=81&OCatID=4300216&sitepath=NAT for each individual website
Course credit: Up to 12 ECTS-points
Course responsible: José Manuel Amigo
Course arrangements: Up to 5 weeks
Period: May 7th – June 8th, 2018
Place: Frederiksberg campus, Denmark
Language: English
Type of Evaluation: Written report
Software: Check further information
Data: Please bring your own data. Otherwise we will provide data.
Download official announcement and flyer for further information: Announcement   /   flyer

 

What's learned?

Copenhagen School of Chemometrics - CSC
 
CSC-2018 is a five-week school designed to be an introduction to different key aspects of advanced data analysis in science. CSC-2018 addresses to PhD students/post-docs, associate professors, etc. who want to acquire or refresh basic knowledge on multivariate data analysis from different disciplines (Chemistry, Physics, Biology, Geology, Environmental Sciences, etc.). CSC-2018 also addresses to researchers working in industry or research laboratories who want to implement multivariate data analysis in their daily research environment.
 
CSC-2018 is thought to be an intensive school. Therefore, It will be held in five weeks structured in different seminars/workshops where the students will be more than welcome to work with their own data together with highqualified teachers.
 
CSC-2018 will be held from May 7th until June 8th.

This edition we will count with:

- Prof. Tormod Næs, giving the inaugural lecture: What is Chemometrics?

- Linear Models: Prof. Age Smilde and Dr. Federico Marini.

- Linear Algebra: Dr. Morten A. Rasmussen.

- Design of Experiments: Prof. Riccardo Leardi.

- Explorative Data Analysis: Prof. Rasmus Bro.

- Multivariate Regression: Dr. José Manuel Amigo.

- Multivariate Curve Resolution: Dr. Anna de Juan.

- Linear Classification: Dr. Davide Ballabio.

- Variable selection methods: Dr. Åsmund Rinnan.

- Hyperspectral Imaging: Dr. José Manuel Amigo.

- How NOT to make Chemometrics: Prof. Rasmus Bro and Dr. José Manuel Amigo.

- OwnData: One day devoted to have a look at your own data and receive advice from us about how to analyze it.

 

CSC-2018 is open to ALL people interested in learning Chemometrics. Moreover, the PhD students will be able to obtain up to 12 ECTS credits. Remember that there is no a minimum of seminars to attend.

The main novelty with respect past editions is that the subscription must be done via on-line in the following link: https://phdcourses.ku.dk

Please, find attached:

Further information

Flyer