Course syllabus
Course-PM
RRY057 Electromagnetic sensor systems lp3 VT22 (7.5 hp)
Course is offered by the department of Space, Earth and Environment
Excercise classes: Mondays 13:15-15
Lectures: Mondays 15.15-17, Thursdays 10-11.45, and Fridays 15:15-17
Laboratory exercises: Course week 4 and 7
Resp teacher: Johan Mellqvist (johan.mellqvist@chalmers.se), tel 0703088777
Start, Monday Jan 17, 2022, 13:15
Location: Room SB.L113 or https://chalmers.zoom.us/j/4178286748 Password: EMSS
Contact details
Johan Mellqvist (examinator), johan.mellqvist@chalmers.se
Leif Eriksson (lectures), leif.eriksson@chalmers.se
Albert Monteith (lectures and lab excercise), albert.monteith@chalmers.se
Olof Forssén (calculation excercise), olof.forssen@chalmers.se
Guest lectures:
Henrik Eliasson, Volvo Cars AB (Automotive LIDAR)
Christoffer Widahl, Emerson (Radar in industry applications)
Ole Martin Christensen QamCom (Sensor system in automotive and other industry and data retrieval)
Samuel Brohede, FluxSense AB, (Optical remote measurements of gas emissions from oil and gas production)
Course purpose
In recent years, the demand for electromagnetic sensors has increased dramatically,from applications in cars (e.g. collision sensors) to advanced satellite instruments that monitor changes in the environment, weather and climate. This development will continue, with the demand for both smaller and cheaper electromagnetic sensors, which can be mass produced, as well as advanced satellite sensors that measure accurately with high spatial resolution. These technologies create large amounts of complex data and it is very challenging to convert them into useful and reliable data. This requires good physical understanding as well as knowledge in signal processing and data management and here machine learning very useful. The aim of the course is to provide an overall understanding of the above parts, with special emphasis on the physical and instrumental principles that underlie the measurements. A basic understanding of the possibilities and limitations of different electromagnetic sensor types and knowledge of the main applications is also provided. This knowledge will enable work on the design of sensor systems and provide a basis for further studies in the subject.
Schedule
Schedule with updated reading instructions
Course literature
Literature: W,G, Rees, 2013, Physical principles of Remote Sensing , 3rd edition (available at Cremona, Chalmers store) handouts and compendia that are provided free of charge
Course design
The course includes 16 lectures, 4 guest lectures, 7 problem solving classes and 2 laboratory exercises .
Changes made since the last occasion
Learning objectives and syllabus
Learning objectives:
- Distinguish and explain the most important physical processes that affect measurements in different wavelength ranges. This includes performing calculations for simpler model systems.
- Get an overview and insight into different types of electromagnetic sensor systems and the platforms from which they can be used.
- Describe data evaluation, from measurement to geophysical product.
- Provide examples of useful external data.
- Demonstrate an understanding of how data can be extracted from observations.
- Discuss simple quantities that describe the measurements, such as coverage, resolution in time and space, and predominant random and systematic errors.
Link to the syllabus on Studieportalen.
Examination form
Written/Oral exam (form to be decided during course) (6 credit points ) and 2 compulsory laboratory exercises (Radar and Passive infrared measurements a) (1.5 credit points). The final grade is solely based on exam results
Academic integrity
To make sure we get the best possible academic climate in the course, the course expects each student to respect the following points:
* Hand-in problems are individual. This means that each student should solve the problems,
write necessary computer code and report the result without direct help from fellow students or anyone else. Discussions about general topics related to the hand-in problems are encouraged between students.
* The projects are group work. This means the group together work towards a solution and
report the findings in a joint report which is individual for each group (see above for meaning of individual).
* When reporting solutions in writing, copying text from books, Internet or from other sources(like your fellow students) without referring to the source is not an accepted behavior and is not allowed.
* Students whom are suspected not to respect the rules of academic integrity will be reported to the President of Chalmers and risk possible disciplinary actions.
Course summary:
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