Login for PhD students/staff at UCPH      Login for others
Copenhagen School of Chemometrics - 12 ECTS - the whole school
Provider: Faculty of Science

Activity no.: 5309-19-04-21 
Enrollment deadline: 03/05/2019
Date and time06.05.2019, at: 00:00 - 07.06.2019, at: 16:00
Regular seats40
ECTS credits12.00
Contact personJose Manuel Amigo Rubio    E-mail address: jmar@food.ku.dk
Enrolment Handling/Course OrganiserJose Manuel Amigo Rubio    E-mail address: jmar@food.ku.dk
Written languageEnglish
Teaching languageEnglish
Semester/BlockSpring
Block noteThe complete course will be held from the 7th of May until the 8th of June, 2018.
Scheme groupNot included in the scheme group
Scheme group noteFull-time teaching.
Exam requirementsOne student attending all the seminars will get 12 ECTS.
Exam formWritten assignment
Exam detailsWritten reports worked out by the participants individually. The reports have to be handed in no later than one week after the last lecture and are evaluated and credited with PASS/FAIL by the course lecturers.
Course workload
Course workload categoryHours
Lectures60.00
Theory exercises60.00
Practical exercises50.00
Project work50.00
Guidance80.00
Sum300.00
Content
PLEASE NOTE!

You have to register EITHER for the whole school OR for the individual seminars. If you do NOT want to follow the whole school, please register for the individual seminars separately.

Links to each seminar, and to the whole school, can be found here: https://phdcourses.ku.dk/Kursusliste.aspx?TermId=419&KatId=81&OCatID=4300216&sitepath=NAT.

The Copenhagen School of Chemometrics (CSC) is a five-week school designed to be an introduction to different key aspects of data analysis in science. Therefore, CSC is specifically designed for researchers who want to start using data analysis in their routine work. Structured in eleven different seminars, topics like design of experiments, chromatographic data analysis or spectroscopic data analysis will be studied and learned by the students.

The students can choose the seminars they need (see below how to register for specific seminars) or attend the whole school. There is no minimum number of seminars to attend.

Seminars:
1) 6-10 May: BASICS. Basic chemometrics – 3 ECTS (José Manuel Amigo)
2) 13-14 May: ALGEBRA. Lineal algebra – 1 ECTS (Morten A. Rasmussen)
3) 15-17 May: DoE. Design of experiments - 1.5 ECTS (Riccardo Leardi)
4) 20-22 May: CLASS. Linear classification - 1.5 ECTS (Davide Ballabio)
5) 23-24 May: VARSEL. Variable selection methods - 1 ECTS (Rasmus Bro)
6) 27-31 May: NONLIN. Nonlinear modelling - 2 ECTS (Federico Marini)
7) 3-6 June: CR. Curve resolution - 2 ECTS (Federico Marini)
8) 7 June: GLUE. How NOT to make Chemometrics - 0 ECTS (Rasmus Bro, José Manuel Amigo)

Learning outcome
The Copenhagen School of Chemometrics (CSC) is a five-week school designed to be an introduction to different key aspects of data analysis in science. Therefore, CSC is specifically designed for researchers who want to start using data analysis in their routine work.

One of the key points of CSC is the interaction between the students and between the teachers to offer the possibility of open-mind discussion forums always within the framework of scientific data analysis and performance. That is why CSC counts with well-recognized experts on chemometrics and multivariate data analysis in their respective fields. The intended learning outcomes have to be divided into two categories:

- 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 student has to be able to apply the acquired knowledge to any problem related to the seminar by himself.
- Global learning outcomes: The students attending all the seminars, at the end of the course, they will be able to understand the structure of a huge 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.

Literature
Handouts and scientific papers provided during the course. MATLAB scripts and source code provided during the course.

Teaching and learning methods
- Contact Teaching: the basis of the course teaching will be done by presentations. Lectures in power-point plus examples/exercises with the computer. The students will be able to follow all the exercises in their own computers. - Learning: Apart from the exercises presented at class, the students will be given several exercises that they must solve for the report. - Educational approaches: This course is addressed to PhD students or advanced Master students. The educational background of the students will be different.

Remarks
Course capacity: max. 40 participants.

Course fees (Academia):
DKK 800 per ECTS
DKK 7,000 for the whole school (5 weeks)

Course fees (Industry/Companies):
DKK 1,600 per ECTS
DKK 15,000 for the whole school (5 weeks)

MANDATORY: after registering for the course, please send an e-mail to José Manual Amigo Rubio at jmar@food.ku.dk confirming which seminars you want to attend.

PAYMENT must be done through https://science.nemtilmeld.dk/96/

Search
Click the search button to search Courses.


Course calendar
See which courses you can attend and when
JanFebMarApr
MayJunJulAug
SepOctNovDec



Publication of new courses
All planned PhD courses at the PhD School are visible in the course catalogue. Courses are published regularly.