Introduction to Optimization
Master fundamental optimization techniques through practical applications: Learn linear programming, network flows, and game theory with real-world examples.
Course Cost
₹ 4,594
Beginner
Skill Level
8 Weeks
Self-paced lessons
This comprehensive course covers modern optimization fundamentals, balancing theory and practical implementation. Students explore linear and nonlinear programming, network flow models, and game theory applications. The curriculum progresses from basic linear programming concepts through advanced topics like convex optimization and routing games. Real-world applications include supply chain optimization, subway system modeling, and urban railway management. The course emphasizes hands-on implementation using tools like Microsoft Excel while building a strong theoretical foundation.
What you'll learn
Master the simplex method for solving linear programming problems
Implement optimization techniques using Microsoft Excel
Understand duality theory and game theoretic applications
Solve network flow problems with specialized algorithms
Apply nonlinear programming to real-world optimization challenges
Model and analyze complex systems using routing games
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 8 modules in this course
This course provides a thorough introduction to optimization techniques with balanced coverage of theory and practical applications. The curriculum spans from fundamental linear programming to advanced topics in nonlinear optimization and game theory. Students learn through diverse applications including supply chain management, network flows, and urban transportation systems. The course emphasizes practical implementation while building strong theoretical understanding.
Introduction to Optimization and Linear Programming
Module 1 · 2 Hours to complete
Two-stage Simplex Method and Applications
Module 2 · 2 Hours to complete
Duality Theory and Game Theory
Module 3 · 2 Hours to complete
Network Optimization
Module 4 · 2 Hours to complete
Introduction to Nonlinear Optimization
Module 5 · 2 Hours to complete
Convex Optimization
Module 6 · 2 Hours to complete
Gradient-Based Algorithms
Module 7 · 2 Hours to complete
Subway System Modeling
Module 8 · 2 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
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