Course Code: N1I00057 Credits: 3.0
Total Hours: 48 Lecture Hours: 32 Practical Hours: 16
Prerequisites: Advanced Mathematics, Linear Algebra, Probability and Statistics, Management
Target Students: Undergraduate students majoring in Business Administration
Course Description:
Operations Research is a foundational course designed for students majoring in Business Administration. The course focuses on applying quantitative methods to analyze and solve management problems. Students will learn how to transform real-world managerial issues into mathematical models and apply these models to support decision-making. Emphasis is placed on scientific data analysis and model building as a basis for strategy selection and optimization.
Learning Outcomes:
Upon completing this course, students will be able to:
Construct and solve models in areas such as linear programming, transportation problems, goal programming, integer programming, inventory management, and network optimization;
Use software tools such as Lingo to solve complex optimization models and apply theoretical knowledge in fields like logistics distribution, site selection, network design, and production management;
Enhance their ability to optimize management resources through quantitative approaches;
Develop skills in analyzing complex problems, creative thinking, teamwork, communication, and effective presentation;
Foster a spirit of critical inquiry and exploration, and understand the importance of optimal resource allocation and its broader social responsibility.
Teaching Methods:
This course adopts a combination of teacher-led heuristic instruction and seminar-based teaching, including:
Explaining key concepts, models, and solution methods through real-world examples to help students build a systematic knowledge base;
Organizing group discussions and case analyses to encourage student interaction and collaboration, enhancing critical thinking and problem-solving skills;
Incorporating hands-on practice using software tools such as Excel and Lingo, allowing students to experience the full process of model building and problem-solving.
Assessment Methods:
Final grades consist of the following components:
Continuous Assessment (40%): Based on video engagement, learning attitude, knowledge comprehension, including individual assignments, group projects, attendance, and in-class participation.
In-class Quizzes (10%): Conducted online or offline in open-book format, including objective questions, model construction tasks, and interpretation of software outputs.
Final Exam (50%): Covers all topics taught during the semester, with an emphasis on students’ ability to apply knowledge to solve practical problems.
