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Decision Trees and Game Theory Models is a course that focuses on structured decision-making techniques and strategic analysis of competitive situations. The objective is to provide learners with the ability to construct decision trees for evaluating choices under uncertainty and apply game theory models to understand interactions among rational players. By the end of the course, students will be able to analyze risks, predict outcomes, and design strategies that support effective decision-making in both organizational and real-world contexts.
This lecture is part of FIN 204 Quantitative Analysis in the Banking and Finance department. The course has 44 recorded lectures across 18 series, all free to watch. Read or download the FIN 204 lecture note to study alongside the video.