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.
Offert par
Operations Research (1): Models and Applications
Université nationale de TaïwanÀ propos de ce cours
30 957 consultations récentes
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau débutant
This course is appropriate for beginners with no prior analytics experience.
Approx. 11 heures pour terminer
Anglais
Sous-titres : Anglais
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
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau débutant
This course is appropriate for beginners with no prior analytics experience.
Approx. 11 heures pour terminer
Anglais
Sous-titres : Anglais
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
2 heures pour terminer
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 heures pour terminer
6 vidéos (Total 83 min), 1 lecture, 1 quiz
2 heures pour terminer
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 heures pour terminer
15 vidéos (Total 129 min)
2 heures pour terminer
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 heures pour terminer
15 vidéos (Total 128 min)
2 heures pour terminer
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 heures pour terminer
15 vidéos (Total 114 min)
Avis
Meilleurs avis pour OPERATIONS RESEARCH (1): MODELS AND APPLICATIONS
par A6 déc. 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.
par AJ9 mai 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!
par NU28 août 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.
par SK5 juil. 2021
Great instructor and really good material! Would have liked if he had provided references for further reading (books).
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