Gatech Matlab Course: A Comprehensive Guide to Optimization Modeling

The Georgia Tech Gatech MATLAB course is an exciting opportunity for students to learn the fundamentals of optimization modeling and its applications in modern data analytics. This article will provide a detailed overview of what you can expect from this course, including the key concepts, models, and algorithms covered.

Throughout this course, you'll learn about the basic concepts and models in linear optimization, integer optimization, and convex optimization. You'll start with an introduction to optimization theory, covering topics such as duality theory and convexity theory, which will give you a deeper understanding of how to formulate an optimization model and why.

Linear Optimization Module

The second module covers linear optimization, where you'll learn about modeling techniques, basic polyhedral theory, simplex method, and duality theory. This is an essential topic in optimization, allowing you to solve linear programming problems efficiently.

Nonlinear Optimization and Convex Conic Optimization Module

In the third module, you'll delve into nonlinear optimization and convex conic optimization, which is a significant generalization of linear optimization. You'll learn about modeling techniques and algorithms for solving these types of problems.

Integer Optimization Module

The fourth and final module focuses on integer optimization, where you'll learn about the flexibility of integer decision variables and how to apply them to various analytics problems.

Tools and Software

To complete this course, you'll need access to specific software tools. These include Adobe Acrobat PDF reader, Python programming language, CVX in MATLAB (CVX software), CVXOPT, CVXPY software for Python, PuLP optimization software, and an internet connection.

Course Structure

The Gatech MATLAB course is structured into four modules, each covering a specific area of optimization modeling. The first module provides a general overview of key concepts in optimization and associated mathematical background. The second module covers linear optimization, the third module nonlinear optimization and convex conic optimization, and the fourth module integer optimization.

Instructional Team

The course is taught by Santanu Dey, an experienced instructor with a strong background in optimization modeling and analytics.

In conclusion, the Gatech MATLAB course offers students a comprehensive education in optimization modeling and its applications in modern data analytics. With its focus on key concepts, models, and algorithms, this course provides a solid foundation for those looking to develop computational skills in implementing and solving optimization problems using modern optimization modeling languages and solvers.

Gatech matlab course