Course Desc<x>ription:
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<br>Operations research (OR) is the study of scientific approach to decision-making 
<br>that typically involves allocating scarce resources in order to maximize or 
<br>minimize some function. OR has many applications in engineering, 
<br>science, economics, and industry. Thus the ability to solve OR problems is 
<br>crucial for both researchers and practitioners. Being able to solve real life 
<br>problems requires understanding and modeling the problem correctly and applying 
<br>appropriate optimization tools/skills. In this course, we will demonstrate how 
<br>to formulate, analyze and solve mathematical models of real-world problems. 
<br>Specifically, we will cover linear programming (including simplex algorithm, 
<br>duality and sensitivity analysis), network flow problems, integer programs, 
<br>nonlinear programs and inventory theory, with the amount of 
<br>emphasis depending on the time available. Some optimization commercial packages 
<br>will be used to assist understanding of and to gain insight into OR. Students 
<br>are expected to be able to build their own formulations, to critically evaluate 
<br>the impact of assumptions and to choose an appropriate solution technique at the 
<br>end of this course.
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<br>Text Books:
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<br>Hillier, F.S. and Lieberman, G.J. (2009) Introduction to Operations Research. 
<br>McGraw Hill. 10th edition.
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<br>Course Evaluation:
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<br>Quizzes: 20%
<br>Midterm examination I*: 25%
<br>Midterm examination II*: 25%
<br>Final examination*: 30%
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<br>*Missed quizzes will not be made up
<br>**本課程無涉及AI使用
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