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Course Description
| PA 308 - Decision Making Models | ||
| Instructor(s): Asim Zia |
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| Description: This course focuses on systems level thinking to impart problem-solving skills in complex decision-making contexts. Individual, inter-personal, organizational and inter-organizational decision making contexts will be analyzed with varying levels of complexity. The emphasis will be placed on imparting cutting edge skills to the students to develop intelligent decision support systems, including agent based simulation models; artificial intelligence (AI)-based technologies such as logic rule-based systems, neural networks, fuzzy logic, case-based reasoning, genetic algorithms, data-mining algorithms; and deliberative decision making models such as mediated modeling and collaborative management techniques. |
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| Prerequisites: Graduate Standing |
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| Methodologies: Agent-based simulation / cellular automata, Chaos theory, Distributed control, Evolutionary/adaptive computing/simulation, Game Theory, Multi-scale modeling, Network/graph science, Nonlinear dynamic differential equations, Numerical optimization, Pattern recognition/classification/data mining, Statistical modeling, Other: Scenario analysis, Judgemental Decision Making |
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| Domains: Environmental Systems, Transportation Systems, Other: Governance Systems |
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| Frequency: Once a year | ||
| Credits: 3 | ||
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