Course syllabus - Applied Spectral Imaging in Environmental Engineering
Autumn semester 2021
A1F (Second cycle, has second-cycle course/s as entry requirements).
School of Business, Society and Engineering
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
ISBN: 9780444639776 (hft.). Elsevier, 2019
Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing [Elektronisk resurs]
The Future of Hyperspectral Imaging, A special issue of Journal of Imaging
The objective of the course is to provide in-depth knowledge and understanding of essential principles of spectral imaging for environmental engineering applications. The knowledge is used for identification, localization, and characterization of chemical and biochemical compounds in various substances. The knowledge obtained in the course can be applied, for example, in intelligent control and optimization of environmental systems.
1. Describe essential principles of state-of-the-art spectral imaging methods, including image processing algorithms.
2. Analyze and interpret spatial data obtained by spectral imaging methods for identification, localization, and characterization of chemical and biochemical compounds.
3. Assess spectral imaging methods applied in different sectors and propose and evaluate potential future applications.
The course mainly addresses the following:
- Advances and developments of spectral imaging including image processing algorithms.
- Applications of spectral imaging techniques for process and environmental monitoring, control, and optimization.
Web-based teaching and assignments
120 credits including 90 credits in engineering and/or natural science, of which 15 credits on advanced level, and 7.5 credits mathematics. In addition Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.
Take-home examination (HEM1), 1 credit, grades Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E), Insufficient, complementary work possible (Fx), Insufficient (F) (Learning outcome 1,3)
Project report (PRO1), 1,5 credits, grades Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E), Insufficient, complementary work possible (Fx), Insufficient (F) (Learning outcome 2, 3)
A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.
Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.Study guide
Interim Regulations and Other Regulations
Overlap 2,5 hp with ERA313