AN
5.0
Reviewed Jul 21, 2022Very thorough and challenging for Operations Research candidates! Gives a very good foundation of Lagrangean decomposition and Duality theory!
This is a good course. It provides necessary theoretical foundations.
Operations Research (3): Theory
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, Electrical Engineering, etc. The series of courses consists of three parts, we focus on deterministic optimization techniques, which is a major part of the field of OR. As the third part of the series, we study mathematical properties of linear programs, integer programs, and nonlinear programs. We also introduce applications of these theoretical properties: How they help us develop better ways to solve mathematical programs.
Status: Statistical Machine Learning
Status: Machine Learning
AdvancedCourse14 hours
Featured reviews
OG
5.0
Reviewed Oct 30, 2021Excellent intro into the vast world of optimization and operations research. Please make one on stochastic processes and programming next!
PS
5.0
Reviewed Jul 25, 2024good course to dive in to mathematic theory and build up confidence without graduate knowledge.
AG
5.0
Reviewed Jan 2, 2025Very involved and deatailed lectures for one of the complex topics in mathematics.
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Solomon
5.0
Reviewed Apr 17, 2022Ollie
5.0
Reviewed Oct 31, 2021Excellent intro into the vast world of optimization and operations research. Please make one on stochastic processes and programming next!
LeonXiang
5.0
Reviewed Mar 10, 2022I love this course! Thanks for Teacher Ling and all TAs! I have really learne a lot! Thanks again!
刘强
5.0
Reviewed Jun 8, 2022I learned so much in this specialisation. It is the best course I've seen in operations research.
林元婷
5.0
Reviewed Jun 28, 2021It's a course worth its weight in gold for those who want to study operations research in-depth.
Nikos
5.0
Reviewed May 29, 2023It is the end of such a fascinating MOOC specialization in Operations Research after the courses: Operations Research (1) and (2). The course is very well delivered and covers several mathematical concepts, which means it requires a good mathematical understanding and background. Convex analysis and network flows are the surprising cases. Perhaps, further analysis and more examples would be excellent. By the way, the course from week 5 is a mathematical solid presentation of Statistical Learning. In the end, there is important information about the future directions of OR and the basic highlights of the three courses. Thank you NTU and Coursera.
Waqas
5.0
Reviewed Aug 18, 2021The teaching style is awesome! I have learnt literally way too much. It is difficult for me to decide if my favourite instructor to date is andrew ng or HIM! Thank you for the course and time! Truly awesome. No words!
Chow
5.0
Reviewed Jun 25, 2022A detailed presentation of the important ideas underlying modern operations research, with a well-structured flow from the motivating problem statement to the theories and applications resolving those problems.
Akhil
5.0
Reviewed Jul 22, 2022Very thorough and challenging for Operations Research candidates! Gives a very good foundation of Lagrangean decomposition and Duality theory!
Pavit
5.0
Reviewed Jul 26, 2024good course to dive in to mathematic theory and build up confidence without graduate knowledge.
ATANU
5.0
Reviewed Jan 3, 2025Very involved and deatailed lectures for one of the complex topics in mathematics.
Valeria
5.0
Reviewed Dec 15, 2022That was very facinating!! Thank you, Great Teacher!!
闫森
5.0
Reviewed May 8, 2021学完了三门课，老师深入浅出，把运筹学的基础知识逐步深入，听完之后对整个体系的理解更加深入
Abderrahmen
5.0
Reviewed Jun 28, 2022Thanks for the course and useful insights.
Bruno
5.0
Reviewed Jun 17, 2024Good contenu. I've learnt so much.
MOHAMAD
5.0
Reviewed Oct 27, 2024good learning platform its nice
Dr
5.0
Reviewed Mar 9, 2022vey well explained
Roberth
5.0
Reviewed Dec 1, 2024Buen curso
Denilton
5.0
Reviewed Mar 24, 2025Excelente
Can
5.0
Reviewed Feb 9, 2023obviously