Introduction to Optimization (Free Online Course) : Optimization is a key concept used across diverse fields to maximize efficiency, minimize costs, or improve outcomes. This course introduces you to the foundational principles of optimization, focusing on mathematical models and practical applications. You’ll learn about linear and nonlinear programming, constraint management, and methods like the simplex algorithm. The course also explores real-world scenarios, from supply chain logistics to financial portfolio management. Designed for beginners, it provides a blend of theoretical understanding and practical problem-solving skills, equipping you with the tools to make data-driven, optimal decisions in various professional domains.
What You Will Learn?
| The simplex method for linear programs |
| The simplex method for linear programs |
| The theory of strong and weak duality |
| Zero-sum games, and the LP formulation for the optimal strategy |
| Network flow problems and a practical simplex method |
| Optimality structure of nonlinear programming and necessary optimality conditions |
| Convex optimization problems and their necessary and sufficient conditions |
| The gradient-descent algorithm for nonlinear programs |
| Newton’s method for nonlinear programs |
| Interior point method for constrained convex optimization |
| Modelling the subway system with routing games. |
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Edx Course Enrollment Process
Step 1 – Visit the Course Page
Click on the Orange Button below – GET THE FREE ONLINE COURSE to access the Course Page.
Step 2 – Sign Up or Log In
Click on the “Sign Up” or “Log In” button located at the top-right corner of the page. You can register using your email address, Google account, or Facebook account.
Step 3 – Enroll for FREE
Once you’re logged in, select the “Enroll Now” option to gain access to the course materials.
Step 4 – Begin Your Learning Journey: After clicking “Start Learning,” you will be seamlessly redirected to your personalized dashboard, where you can embark on your course at your own pace !
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