Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Industrial Engineering, etc. This course introduces frameworks and ideas about various types of optimization problems in the business world. In particular, we focus on how to formulate real business problems into mathematical models that can be solved by computers.
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Operations Research (1): Models and Applications
国立台湾大学課程信息
This course is appropriate for beginners with no prior analytics experience.
您將學到的內容有
Formulate different types of mathematical models to tackle optimization problems with business applications.
Technically, the concepts and applications of Linear Programming, Integer Programming, and Nonlinear Programming will be delivered.
Solve an optimization problem with one of the most accessible software: Microsoft Excel.
您將獲得的技能
- Modeling
- Business Analytics
- Mathematical Optimization
This course is appropriate for beginners with no prior analytics experience.
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国立台湾大学
We firmly believe that open access to learning is a powerful socioeconomic equalizer. NTU is especially delighted to join other world-class universities on Coursera and to offer quality university courses to the Chinese-speaking population. We hope to transform the rich rewards of learning from a limited commodity to an experience available to all.
授課大綱 - 您將從這門課程中學到什麼
Course Overview
This lecture gives students an overview of what they may expect from this course, including the fundamental concept and brief history of Operations Research. We will also talk about how mathematical programming can be used to solve real-world business problem.
Linear Programming
Linear programming (LP) is one of the most important method to achieve the outcome of optimization problems. We can use LP models for various decisions, including production, inventory, personnel scheduling, etc.
Integer Programming
In many practical areas, some of the optimization problems occur with integrality constraints imposed on some of the variables. Facility location, machine scheduling, and vehicle routing are some examples. Integer Programming (IP) provides a mathematical way to solve these problems.
Nonlinear programming
In the real life, many problems involve nonlinearities. Examples include pricing, inventory, and portfolio optimization. For such problems, we may use Nonlinear Programming (NLP) to formulate them into models and solve them.
審閱
- 5 stars85.89%
- 4 stars11.53%
- 3 stars1.28%
- 1 star1.28%
來自OPERATIONS RESEARCH (1): MODELS AND APPLICATIONS的熱門評論
Nice introductory course for Linear Programming with a variety of real life application examples.
The course is conducted step by step. Easy to understand.
Focus on mathematical modeling part in operation research.thanks to Prof.Kong and TA Michelle!
This is certainly one of the best introductory course on Operations Research with Computer Applications.
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