OPTIMIZATION BASICS

Course Headline: 🚀 Master the Art of Optimization with "Optimization Basics"!

Course Title: OPTIMIZATION BASICS with Professor Rahul Rai

Course Description:

Embark on a journey through the realm of optimization with our comprehensive online course, Optimization Basics. Designed to cater to students from diverse backgrounds, this course provides an accessible entry point into the world of numerical optimization techniques. Whether you're new to these concepts or looking to solidify your existing knowledge, this course will equip you with a robust understanding of optimization strategies.

Why Take This Course? 🎓

• Foundational Knowledge: Gain insights into optimization problem formulations and the essential aspects of various optimization algorithms.
• Programming Skills: Learn to apply programming tools to solve real-world optimization problems.
• Versatile Approach: Tailored for students with or without prior knowledge in optimization, this course covers a wide range of topics including Graphical Approaches for Optimization Problems, Notations and Classification of Optimization, Unconstrained and Constrained Optimization, and much more.
• Diverse Algorithms: Dive into the mechanics of algorithms such as Golden Section, Gradient Descent, Newton's Methods, Augmented Lagrangian, and Sequential Quadratic Programming (SQP).
• Real-World Application: Aimed at students interested in fields like operation research, engineering, data science, and machine learning, this course offers practical skills that can be applied across industries.

Course Outline:

• Graphical Approaches for Optimization Problems: Visualize solutions with tools and techniques that bring clarity to complex problems.
• Notations and Classification of Optimization: Understand the language and frameworks that structure optimization challenges.
• Unconstrained Optimization: Explore methods to optimize without constraints, learning how to find global minima efficiently.
• Constrained Optimization: Discover methods for dealing with real-world constraints that define practical problem settings.
• Optimization Algorithms: Master algorithms including Golden Section, Gradient Descent, Newton's Methods, Augmented Lagrangian, and Sequential Quadratic Programming (SQP) through engaging lectures and hands-on practice.

Your Instructor: 👨‍🏫 Professor Rahul Rai A renowned expert in the field of optimization, Professor Rahul Rai brings a wealth of knowledge and experience to the course. As Dean’s Distinguished Professor at Clemson University International Centre for Automotive Research (CU-ICAR), he has been instrumental in advancing research in automotive engineering and beyond.

Professor Rahul Rai's Background:

• Joined the Department of Automotive Engineering at Clemson University in 2020.
• Former faculty member at the University at Buffalo-SUNY (2012-2020).
• Has held research positions at esteemed centers such as United Technology Research Centre (UTRC) and Palo Alto Research Centre (PARC).

Who Should Take This Course?

• Aspiring operation researchers, engineers, and data scientists.
• Students in data science and machine learning who wish to enhance their problem-solving capabilities with optimization techniques.
• Anyone interested in gaining a solid foundation in numerical optimization for practical applications.

Ready to optimize your skills and unlock new possibilities? 🌟 Enroll in Optimization Basics today and start your journey with Professor Rahul Rai, a pioneer in the field of automotive engineering and optimization!