Applied spectroscopy for future energy and environmental systems
Please note that applications are closed for this course for the duration of autumn semester 2020.
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.
Course title in Swedish
Tillämpad spektroskopi för framtida energi- och miljösystem
After submitting your electronic application, the next step is to submit documentation to demonstrate your eligibility for the course you have applied for. In order to document your eligibility, you must provide your high school diploma and university transcript and proof of your English language proficiency.
To meet the entry requirements for this course you need to have previous academic qualifications (university studies). You will find the specific entry requirements above.
No academic qualifications?
If you do not have the formal academic qualifications needed for a specific course, you can apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc. This is also known as a validation of prior learning.
Recognition of prior learning means the mapping out and assessment of an individual's competence and qualifications, regardless how, where or when they were acquired – in the formal education system or in some other way in Sweden or abroad, just recently or a long time ago.
If you think your knowledge and competences will qualify you for this course, you will need to upload th following with your application:
- CV with description of your educational and professional background. Your CV must describe your knowledge and competences in relation to the entry requirements.
- If you refer to work experience, you need to upload an Employers certificate.
If we need more information, we will contact you.
The courses are part of the FutureE project where MDH offers online courses in the areas of AI, Environmental and Energy Engineering, Software and Computer Systems Engineering.For companies that want to collaborate on competence development