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FIN 204 200 Second Semester

Decision Trees and Game Theory Models 1

Decision Trees and Game Theory Models (SERIES 4)

Banking and Finance 8 minutes 32 seconds Quantitative Analysis

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.

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FIN 204 · Quantitative Analysis
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LaNet Bot
FIN 204 · Level 200
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👋 Hi! I'm LaNet Bot, your FIN 204 Quantitative Analysis assistant. Ask me anything about this course and I'll answer based on your lecture notes and video content.

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🤖
LaNet Bot
FIN 204 · Level 200
Ready
👋 Hi! I'm LaNet Bot, your FIN 204 Quantitative Analysis assistant. Ask me anything about this course and I'll answer based on your lecture notes and video content.

⚠️ I only answer questions related to this course.
Try asking: