Course: Spatial Decision Support Systems

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Course title Spatial Decision Support Systems
Course code KGI/PGSPR
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 15
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Voženílek Vít, prof. RNDr. CSc.
  • Tuček Ján, prof. Ing. CSc.
Course content
A growing area of DSS application, concepts, principles, and techniques is in agricultural production, marketing for sustainable development. For example, the DSSAT4 package, developed through financial support of USAID during the 80's and 90's, has allowed rapid assessment of several agricultural production systems around the world to facilitate decision-making at the farm and policy levels. Because there are many approaches to decision-making and because of the wide range of domains in which decisions are made, the concept of decision support system (DSS) is very broad. A DSS can take many different forms. In general, we can say that a DSS is a computerized system for helping make decisions. A decision is a choice between alternatives based on estimates of the values of those alternatives. Supporting a decision means helping people working alone or in a group gather intelligence, genrate alternatives and make choices. Supporting the choice making process involves supporting the estimation, the evaluation and/or the comparison of alternatives. In practice, references to DSS are usually references to computer applications that perform such a supporting role.

Learning activities and teaching methods
Lecture
Learning outcomes
Decision support systems are a class of computer-based information systems including knowledge based systems that support decision making activities.
Evaluation Evaluate the particular methods and principles, explain the aspects and results concerning the given issue, integrate the knowledge, predict the solutions, evaluate the results and outcomes.
Prerequisites
unspecified

Assessment methods and criteria
Written exam

Student has to prove the knowledge of the subject topics.
Recommended literature
  • Finlay, P. N. (1994). Introducing decision support systems. Oxford, UK Cambridge, Mass., NCC Blackwell; Blackwell Publishers.
  • Gadomski, A.M. at al. (2001). An Approach to the Intelligent Decision Advisor (IDA) for Emergency Managers. Int. J. Risk Assessment and Management, Vol. 2, Nos. 3/4.
  • Gachet, A. (2004). Model-Driven Decision Support Systems with Dicodess. Zurich, VDF.
  • Haag, Cummings, McCubbrey, Pinsonneault, Donovan. (2000). Management Information Systems: For The Information Age. McGraw-Hill Ryerson Limited.
  • Marakas, G. M. (1999). Decision support systems in the twenty-first century. Upper Saddle River, N.J., Prentice Hall.
  • Power, D. J. (2002). Decision support systems: concepts and resources for managers. Westport, Conn., Quorum Books.
  • Power, D. J. (2000). Web-based and model-driven decision support systems: concepts and issues. in proceedings of the Americas Conference on Information Systems. Long Beach, California.
  • Reich, Yoram; Kapeliuk, Adi. (2005). Decision Support Systems, Vol. 41 Issue 1.
  • Stanhope, P. (2002). Get in the Groove: building tools and peer-to-peer solutions with the Groove platform. New York, Hungry Minds.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester