The course "Management Science Models and Applications" is a fundamental course in the Management Science and Engineering program, aimed at equipping students with comprehensive knowledge and practical tools in management science. This course lays the foundation for making scientifically effective decisions in complex decision-making environments. It holds a significant position in the curriculum, guiding students to understand the basic theories, methods, and practical applications of management science, and helping them develop a scientific approach to management thinking. The objective of the course is to enhance students' abilities in analysis and problem-solving in management and decision-making, emphasizing the integration of theory and practice. Students will learn how to construct and solve optimization models, conduct sensitivity analysis, address real-world transportation and assignment problems, and optimize network systems. By studying data analysis and statistical inference methods, students will be able to efficiently process and analyze data in their future work, making accurate decisions. Additionally, the course covers the application of multivariate analysis techniques and simulation techniques, enabling students to handle complex system problems. Through group projects and presentations, students will not only apply their knowledge to solve practical problems but also cultivate teamwork and comprehensive application skills. These abilities and knowledge are crucial for students' future development in the field of management science and engineering, providing a solid theoretical foundation and practical experience to tackle various management challenges in their professional careers. |
