Quantitative Analysis

This course is designed to equip candidates with the essential knowledge, skills, and attitudes necessary to effectively use quantitative analysis tools in business operations and decision-making. Through a comprehensive exploration of mathematical techniques, set and probability theories, operational research, hypothesis testing, and linear programming, candidates will gain the ability to solve complex business problems and make informed decisions.

Learning Outcomes

Upon successful completion of this course, candidates will be able to:

• Use Mathematical Techniques to Solve Business Problems: Apply various mathematical methods to analyze and solve problems encountered in business settings.
• Apply Set and Probability Theories in Business Decision Making: Utilize set theory and probability principles to assess risk and make strategic business decisions.
• Apply Operation Research Techniques in Decision Making: Implement operational research methods to optimize business processes and improve decision-making.
• Apply Hypothesis Testing in Analyzing Business Situations: Conduct hypothesis tests to interpret data and derive meaningful insights in business contexts.
• Apply Linear Programming to Solve Practical Business Problems: Use linear programming models to find optimal solutions for resource allocation and other business challenges