Brief Course Description
1. Course Title:
Quantitative Methods and Decision Biases
2. Language of Instruction:
English
3. Course Code:
INT647028
4. Credits:
3
5. Course Objectives:
This course aims to equip students with foundational knowledge and quantitative tools for decision analysis, while also developing their ability to recognize and understand cognitive biases commonly affecting managerial decision-making. Learners will gain proficiency in statistical methods, optimization, simulation, and risk analysis to solve management problems, and will also practice evaluating the influence of heuristics, biases, and psychological factors on decision quality. Through real-world case studies, students will build the capability to integrate quantitative analysis with behavioral insights, thereby enhancing their effectiveness, accuracy, and responsibility in decision-making.
6. Brief Description of Course Content:
The course Quantitative Methods and Decision Biases introduces fundamental and advanced quantitative tools for decision analysis, including applied statistics, regression analysis, optimization, simulation, and risk assessment. At the same time, it provides knowledge of behavioral aspects of managerial decision-making, focusing on common heuristics and biases such as availability, representativeness, overconfidence, loss aversion, and groupthink. By integrating quantitative methods with behavioral insights, students will develop the ability to make data-driven decisions while recognizing and mitigating cognitive biases, thereby improving the effectiveness and quality of decision-making in modern business and management contexts.