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
Université nationale de TaïwanÀ propos de ce cours
This course is appropriate for beginners with no prior analytics experience.
Ce que vous allez apprendre
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.
Compétences que vous acquerrez
- Modeling
- Business Analytics
- Mathematical Optimization
This course is appropriate for beginners with no prior analytics experience.
Offert par

Université nationale de Taïwan
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.
Programme de cours : ce que vous apprendrez dans ce cours
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.
Avis
- 5 stars86,11 %
- 4 stars11,50 %
- 3 stars1,19 %
- 1 star1,19 %
Meilleurs avis pour OPERATIONS RESEARCH (1): MODELS AND APPLICATIONS
The course is conducted step by step. Easy to understand.
Great instructor and really good material!
Would have liked if he had provided references for further reading (books).
I am new to this field of operations research and I really enjoyed this course, learned a lot. I never used math before this way, it was great fun! Thanks!
Very good explanation with nice practical demonstration.
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