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Environmental Decision Support Systems

Module name (EN):
Name of module in study programme. It should be precise and clear.
Environmental Decision Support Systems
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Computer Science and Communication Systems, Master, ASPO 01.10.2017
Module code: KIM-EDSS
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P222-0106
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
6
Semester: 2
Mandatory course: no
Language of instruction:
German
Assessment:
Group project: requirements specification for an EDSS

[updated 26.02.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

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 (P222-0106) Engineering and Management, Master, ASPO 01.10.2013 , semester 8, optional course, informatics specific
PIM-WI65 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:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
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 10.11.2016]
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:


[still undocumented]
Module offered in:
SS 2024, SS 2023, SS 2022, SS 2021, SS 2020, ... 
[Sat Dec 28 11:14:51 CET 2024, CKEY=eds, BKEY=kim2, CID=KIM-EDSS, LANGUAGE=en, DATE=28.12.2024]