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.
oferecido por
Operations Research (1): Models and Applications
Universidade Nacional de TaiwanInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
This course is appropriate for beginners with no prior analytics experience.
Aprox. 11 horas para completar
Inglês
Legendas: Inglês
O que você vai aprender
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.
Habilidades que você terá
- Modeling
- Business Analytics
- Mathematical Optimization
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
This course is appropriate for beginners with no prior analytics experience.
Aprox. 11 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade Nacional de Taiwan
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.
Programa - O que você aprenderá com este curso
2 horas para concluir
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.
2 horas para concluir
6 vídeos (Total 83 mín.), 1 leitura, 1 teste
2 horas para concluir
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.
2 horas para concluir
15 vídeos (Total 129 mín.)
2 horas para concluir
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.
2 horas para concluir
15 vídeos (Total 128 mín.)
2 horas para concluir
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.
2 horas para concluir
15 vídeos (Total 114 mín.)
Avaliações
Principais avaliações do OPERATIONS RESEARCH (1): MODELS AND APPLICATIONS
por A6 de Dez de 2021
This course is very helpful to understand the basics of operation research, after this course you will know where to apply linear, integer and non-linear programming.
por AJ9 de Mai de 2021
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!
por NU28 de Ago de 2021
Great course for those who wishes to get started with OR. explanation is good and problems are hard which help us cement the concept.
por SK5 de Jul de 2021
Great instructor and really good material! Would have liked if he had provided references for further reading (books).
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