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Environmental Decision Support Systems

Module name (EN): Environmental Decision Support Systems
Degree programme: Engineering and Management, Master, ASPO 01.10.2013
Module code: MAM.2.1.2.22
SAP-Submodule-No.: P221-0138
Hours per semester week / Teaching method: 4V (4 hours per week)
ECTS credits: 6
Semester: 8
Mandatory course: no
Language of instruction:
English
Assessment:
Group project: requirements specification for an EDSS

[updated 26.02.2018]
Applicability / Curricular relevance:
KI869 Computer Science and Communication Systems, Master, ASPO 01.04.2016, semester 2, optional course, informatics specific
KIM-EDSS (P222-0106) Computer Science and Communication Systems, Master, ASPO 01.10.2017, semester 2, optional course, informatics specific
MAM.2.1.2.22 (P221-0138) Engineering and Management, Master, ASPO 01.10.2013, semester 8, optional course, informatics specific
PIM-WI65 (P221-0138) Applied Informatics, Master, ASPO 01.10.2011, semester 2, optional course, informatics specific
PIM-EDSS (P222-0106) Applied Informatics, Master, ASPO 01.10.2017, semester 2, optional course, informatics specific
Workload:
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 180 hours (equivalent to 6 ECTS credits).
There are therefore 135 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Steven Frysinger
Lecturer:
Prof. Steven Frysinger


[updated 11.03.2021]
Learning outcomes:
After successfully completing this module, students will be able to:
- Explain the natural and social science foundations of environmental decisions;
- Discuss the role of information systems in decision support in general, and environmental decision making in particular;
- Describe the difference between Environmental Management Information Systems and Environmental Decision Support Systems (EDSS);
- Explain the value of integrating such technologies as geographic information systems, mathematical process modeling, Monte Carlo simulation, linear programming, and expert systems into an EDSS;
- Describe the theoretical foundations of geographical information systems;
- Compare and contrast vector vs. raster encoding of spatial data layers;
- Develop a user-centered design of an EDSS for a specific decision and decision maker.


[updated 26.02.2018]
Module content:
Environmental Decision Support Systems are computer systems that help humans make environmental management decisions.
 
They facilitate "Natural Intelligence" by making information available to the human in a form that maximizes the effectiveness of their cognitive decision processes, and they can take a number of forms. EDSSs are focused on specific problems and decision-makers.
 
This sharp contrast with the general-purpose character of such software systems as Geographic Information Systems (GIS) is essential in order to put and keep EDSSs in the hands of real decision-makers who have neither the time nor inclination to master the operational complexities of general-purpose systems.
 
This course will combine seminars on various topics essential to EDSS design with a practical project in which students will specify the fundamental interaction design and software architecture of a system supporting an environmental decision problem of their choice.

[updated 26.02.2018]
Recommended or required reading:


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