Course syllabus - Digital Remote Sensing and GIS in Environmental Engineering
Scope
7.5 credits
Course code
MTK336
Valid from
Autumn semester 2021
Education level
Second cycle
Progressive Specialisation
A1N (Second cycle, has only first-cycle course/s as entry requirements).
Main area(s)
Environmental Engineering
School
School of Business, Society and Engineering
Ratified
2021-01-20
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
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Books
An Introduction to Spatial Data Analysis : remote sensing and GIS with open source software
Exeter : Pelagic Publishing, 2020 - online resource (xiv, 218 sidor)
ISBN: 9781784272142 LIBRIS-ID: 1cv7tw25z8945dgr
QGIS and applications in water and risks
London : Wiley-ISTE, 2018 - xii, 287 sidor
ISBN: 9781786302717 LIBRIS-ID: lxp1njx3j2nsk9l3
Introduction to Satellite Remote Sensing : Atmosphere, Ocean, Land and Cryosphere Applications
Amsterdam : Elsevier, 2017 - online resource (v, 856 s.)
ISBN: 9780128092590 LIBRIS-ID: 21638303
Objectives
The objective of the course is to give the student enhanced knowledge of geographical methods in form of digital remote sensing, photogrammetry and geographic information systems for analysis of data, mainly from satellites and unmanned aerial vehicles (UAVs) also known as drones. The knowledge gained is applied to solve complex spatial problems related to environmental engineering.
Learning outcomes
After completing the course, the student shall be able to:
1. Apply relevant digital remote sensing and GIS methods and techniques for spatial analysis in the field of environmental engineering.
2. Integrate knowledge to conducted GIS-related analysis to solve complex spatial problems related to environmental engineering
3. Present conclusions from spatial analysis related to environmental engineering including the underlying knowledge and logical base for these conclusions.
4. Discuss how digital remote sensing and GIS can contribute to sustainable development
Course content
The course mainly addresses the following:
Applications of digital remote sensing, photogrammetry and GIS tools for spatial analysis of air, water and land, related to environmental engineering. Retrieval and preparation of raster and vector data, problem-based raster image, and vector data analysis, digital RS and GIS for environmental monitoring and decision support, as well as applications toward sustainable development.
Tuition
Web-based teaching and assignments
Specific requirements
120 credits of which 90 credits engineering and/or natural science and 7.5 credits mathematics. In addition Swedish course B/Swedish course 3 and English course B/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.
Examination
Home examination (HEM1), 1.5 credits, grades Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E), Insufficient, complementary work possible (Fx), Insufficient (F), (Learning outcomes: 1,2,4)
Project (PRO1) 6 credits, grades Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E), Insufficient, complementary work possible (Fx), Insufficient (F), (Learning outcomes: 1,2,3,4)
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.
Grade
Excellent, Very good, Good, Satisfactory, Sufficient, Insufficient, complementary work possible, Insufficient