Decision Modeling is an important component of Operations Research with optimization at its core. Decision problems are in the focus of academicians and practitioners the world over and are solved everywhere from manufacturing to service organizations, airlines, government and consulting houses.
The present course is taught from a practitioner’s angle. Theory is introduced to complement the practice and for ease of understanding. The course is mainly meant for Engineering students. The management students will also benefit from the course.
In this course on decision modeling, first 2 weeks are devoted to dynamic programming. Dynamic programming helps to solve complex decision problems with the help of Bellman’s principal of optimality. Next 2 weeks cover integer programming which is again very important in decision making context. Branch and bound, cutting plane, and branch and cut methods are discussed in this section. Next 2 weeks cover nonlinear programming which includes constrained and unconstrained optimization, Karush-Kuhn-Tucker conditions and other topics. The final 2 weeks are devoted to metaheuristics that include genetic algorithm, simulated annealing, tabu search and other algorithms.
Important For Certification/Credit Transfer:
Weekly Assignments and Discussion Forum can be accessed ONLY by enrolling here
Scroll down to Enroll
Note: Content is Free!
All content including discussion forum and assignments, is free
Final Exam (in-person, invigilated, currently conducted in India) is mandatory for Certification and has INR Rs. 1100 as exam fee.
INTENDED AUDIENCE:Students from Bachelors in Engineering, Masters in Business Administration, Masters in Industrial Engineering, Masters in Operations Research/Operations Management, PhD in relevant fields
CORE/ELECTIVE: Core/Elective
UG/PG: UG / PG (Both)
PREREQUISITES: 1)Basic Operations Researchl
INDUSTRY SUPPORT: Manufacturing Industry, Chemical Industry, Service Industry, Management Consultancy Houses, Corporate Planning Groups.