Operations Research (1): Models and Applications
Learn to formulate and solve optimization problems using linear, integer, and nonlinear programming in business contexts.
Learn to formulate and solve optimization problems using linear, integer, and nonlinear programming in business contexts.
This beginner-level course introduces Operations Research (OR), focusing on mathematical modeling for business optimization. Students learn to formulate real-world problems into mathematical models solvable by computers. The course covers Linear Programming, Integer Programming, and Nonlinear Programming, with applications in production, inventory, scheduling, and finance. Practical skills include using Microsoft Excel's Solver for optimization. Through lectures, quizzes, and a case study, learners develop foundational skills in business analytics and mathematical optimization, applicable across various industries.
4.8
(495 ratings)
37,221 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Understand the fundamentals of Operations Research and its applications in business
Formulate Linear Programming models for optimization problems
Develop Integer Programming models for discrete decision-making scenarios
Create Nonlinear Programming models for complex business situations
Use Microsoft Excel's Solver add-in to solve optimization problems
Apply OR techniques to real-world cases in production, scheduling, and finance
Skills you'll gain
This course includes:
9.08 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course provides a comprehensive introduction to Operations Research (OR), focusing on mathematical modeling for business optimization. Students learn to formulate real-world problems into mathematical models that can be solved by computers. The curriculum covers three main types of programming: Linear Programming (LP), Integer Programming (IP), and Nonlinear Programming (NLP). Through practical examples and case studies, learners apply these techniques to various business scenarios, including production planning, inventory management, personnel scheduling, facility location, and portfolio optimization. The course emphasizes hands-on skills, teaching students to use Microsoft Excel's Solver add-in for solving optimization problems. By the end of the course, learners will have a solid foundation in OR concepts and practical modeling skills applicable to diverse business challenges.
Course Overview
Module 1 · 1 Hours to complete
Linear Programming
Module 2 · 2 Hours to complete
Integer Programming
Module 3 · 2 Hours to complete
Nonlinear Programming
Module 4 · 2 Hours to complete
Case Study: Personnel Scheduling
Module 5 · 1 Hours to complete
Course Summary and Future Directions
Module 6 · 1 Hours to complete
Fee Structure
Payment options
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Instructor
Leading Authority in Nephrology and Toxicology at National Taiwan University.
Dr. Chih-Kang Chiang is an expert in internal medicine, nephrology, toxicology, and food safety risk analysis. He received his Ph.D. in 2006 from the Graduate Institute of Toxicology at National Taiwan University. In 2005, he became a clinical lecturer in the Department of Internal Medicine at National Taiwan University and was promoted to clinical assistant professor in 2007 and clinical associate professor in 2012. He has served as an associate professor since 2014 and was promoted to full professor in 2018 at the Graduate Institute of Toxicology, National Taiwan University. A notable scholar in nephrology and toxicology, Dr. Chiang has published over a hundred peer-reviewed articles throughout his career.
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4.8 course rating
495 ratings
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