Brief Course Description
1. Course Title:
Modeling and Applications of AI in Business
2. Language of Instruction:
Vietnamese
3. Course Code:
BUS503371
4. Credits:
3
5. Course Objectives:
1. Understand core principles of Management Science and their role in supporting data-driven business decision-making.
2. Formulate business problems into quantitative models, particularly using optimization and linear programming techniques.
3. Apply decision-making frameworks to evaluate alternatives under conditions of certainty, uncertainty, and risk.
4. Utilize forecasting methods to analyze data and support planning and strategic decisions.
5. Interpret and evaluate model results, including assumptions, trade-offs, and managerial implications.
6. Apply AI techniques in business modeling, integrating machine learning and data analytics to enhance prediction, optimization, and decision-making.
6. Brief Description of Course Content:
This course provides a foundation in Management Science, focusing on the use of quantitative models to support and enhance business decision-making. Students are equipped with core analytical tools such as optimization and linear programming to address resource allocation problems, decision-making methods under certainty and uncertainty, and forecasting techniques to analyze trends and support planning.
Building on this foundation, the final part of the course introduces artificial intelligence (AI) applications in business modeling. Students will explore how machine learning can be applied to demand forecasting and customer behavior analysis, how data-driven approaches improve model accuracy, and how modern AI tools can support model development, validation, and optimization. The course also highlights the role of AI in automating decision processes, enabling more adaptive and scalable business solutions, and enhancing strategic and operational performance.
Overall, the course develops students’ analytical thinking, modeling capability, and ability to integrate quantitative methods with AI technologies to solve complex business problems in a data-driven environment.