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.
ofrecido por
Operations Research (1): Models and Applications
Universidad Nacional de TaiwánAcerca de este Curso
54.853 vistas recientes
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
This course is appropriate for beginners with no prior analytics experience.
Aprox. 11 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
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 obtendrás
ModelingBusiness AnalyticsMathematical Optimization
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
This course is appropriate for beginners with no prior analytics experience.
Aprox. 11 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad Nacional de Taiwán
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 - Qué aprenderás en este curso
2 horas para completar
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 completar
6 videos (Total 83 minutos), 1 lectura, 1 cuestionario
2 horas para completar
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 completar
15 videos (Total 129 minutos)
2 horas para completar
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 completar
15 videos (Total 128 minutos)
2 horas para completar
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 completar
15 videos (Total 114 minutos)
Reseñas
Principales reseñas sobre OPERATIONS RESEARCH (1): MODELS AND APPLICATIONS
por AJ9 de may. 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).
por MG19 de oct. de 2021
Easy to follow through as an introductory course. Examples are relevant, relatable and easy to digest.
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