NSCPHD1013  Copenhagen School of Chemometrics - lphd191

Volume 2015/2016
Education

Life Sciences, Sciences, Engineering, physics, Chemistry, Biology, Veterinary

Content

 

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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.
 

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.

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

Previous basic knowledge of MATLAB is advisable. Therefore, it is highly advisable that the students take the introduction to MATLAB course
- 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 the 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.
Credit
12 ECTS
Type of assessment
Written assignment
Written reports; work out by the participants individually. The reports have to be handed in maximally one week after the last lecture and are evaluated and credited with PASS/FAIL by the course lectures.
Exam registration requirements

1 ECTS per seminar. The time for reports is dedicated to consultancy and supervision by the student having an importance of 1 ECTS. One student attending all the seminars, he will get 12 ECTS.

  • Category
  • Hours
  • Lectures
  • 60
  • Theory exercises
  • 60
  • Practical exercises
  • 50
  • Project work
  • 50
  • Guidance
  • 80
  • Total
  • 300