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Introduction to Optimization
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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

Linear Programming
Nonlinear Programming
Game Theory
Network Flow
Optimization Algorithms
Simplex Method
Convex Optimization
Network Modeling
Excel Analysis
Mathematical Modeling

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Reviews

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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.

Introduction to Optimization

Beginner

Skill Level

8 Weeks

Self-paced lessons

Course Cost

₹ 4,594

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.