Would you like to discover the inner soul of the materials and processes through exciting measurement techniques?
About this course
In this course, you will learn how the spectroscopy techniques can be used to analyse chemical and structural properties of various materials by interactions with electromagnetic radiation. We will introduce electromagnetic spectrum and discuss underlying theories behind matter transitions affecting radiation in various spectral ranges and thus enabling the spectroscopic analysis.
You will learn how various spectrometers works and to correctly perform material sampling, preparation and spectral data acquisition. You will understand how to interpret complex information obtained by various spectroscopic techniques and how to extract information with help of chemometrics that includes machine learning and artificial intelligence techniques.
The important part of the course will be focused on addressing real industrial and environmental challenges by employing state-of-the-art spectroscopic material characterization methods for process monitoring, control and optimization.
The course is given over four weeks in a pace of 33%, corresponding to approximately 12 hours of studies per week. The course will be given from 9th November and ends 6th December 2020.
What you will learn
- You will be familiar with essential principles of near infrared (NIR), infrared (IR) and Raman spectroscopy.
- How to characterize selected biomass and waste materials by using the near infrared (NIR) spectroscopy, including hyperspectral imaging (HSI), and infrared (IR) and Raman spectroscopy techniques.
- How to analyse and interpret data obtained by a given spectroscopy technique or combination of techniques.
- How to apply the obtained information in process and environmental monitoring, control and optimization.
- 120 credits of which 90 credits engineering or natural science and 7,5 credits mathematics.
- In addition English course A/English course 6 is required.
You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc.