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
- 5 stars86,05%
- 4 stars11,55%
- 3 stars1,19%
- 1 star1,19%
Principais avaliações do OPERATIONS RESEARCH (1): MODELS AND APPLICATIONS
por DM26 de dez de 2021
This is certainly one of the best introductory course on Operations Research with Computer Applications.
por ZW17 de abr de 2021
Love the course very much. The quiz questions are extremely well designed.
por RI20 de abr de 2021
Nice introductory course for Linear Programming with a variety of real life application examples.
por WK6 de jun de 2021
The course is conducted step by step. Easy to understand.
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