Quantitative Methods

This course equips students with the quantitative tools and techniques commonly used in business decision-making. This course covers topics such as statistical analysis, data modeling, forecasting, and optimization techniques. Students will learn to apply quantitative methods to solve real-world business problems, using software tools for data analysis. The course emphasizes practical applications through case studies, simulations, and project-based learning to enhance decision-making skills.

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

• Proficiency in Statistical Analysis: Students will gain a strong grasp of statistical techniques essential for analyzing business data, including descriptive statistics, probability, and inferential statistics.
• Data Modeling and Decision Making: Develop skills in creating and using mathematical models to make informed business decisions. Learn to apply linear and nonlinear programming, queuing theory, and simulation techniques.
• Forecasting Techniques: Acquire the ability to use various forecasting methods to predict future business conditions and trends, enhancing strategic planning and operational efficiency.
• Problem-Solving with Quantitative Tools: Enhance problem-solving capabilities by integrating quantitative methods into business scenarios, evaluating outcomes, and making data-driven recommendations.

These outcomes are designed to prepare students to confidently apply quantitative methods in a business context, supporting effective and efficient decision-making processes.