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OPTIMIZATION BASICS

Course introduces students to optimization techniques.
0.0
0.0/5
(0 reviews)
2 students
Created by

9.1

CourseMarks Score®

10.0

Freshness

N/A

Feedback

7.8

Content

Platform: Udemy
Video: 7h 10m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.1 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 5/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

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Content Score

7.8 / 10
Video Score: 8.7 / 10
The course includes 7h 10m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.1 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

This course introduces students to optimization techniques. The course exposes students to basic concepts about the implementation of numerical optimization techniques, assuming that the student does or does not have any kind of idea on these topics. The approach used for teaching this optimization course is based on students having a basic understanding of optimization problem formulations, the important aspects of various optimization algorithms, also about the knowledge of how to use programming to solve optimization problems. The lectures in this course cover Graphical Approaches for Optimization Problems,  Notations and Classification of Optimization, Unconstrained Optimization, and Constrained Optimization. Various algorithms such as Golden Section, Gradient Descent, Newton’s Methods, Augmented Lagrangian, and Sequential Quadratic Programming (SQP). This course will be beneficial to students who are interested in learning about the basics of optimization methods. Operation researchers, engineers, and data science and machine learning students will find this course useful. This course is taught by professor Rahul Rai who joined the Department of Automotive Engineering in 2020 as Dean’s Distinguished Professor in the Clemson University International Centre for Automotive Research (CU-ICAR). Previously, he served on the Mechanical and Aerospace Engineering faculty at the University at Buffalo-SUNY (2012-2020) and has experience in industrial research center experiences at United Technology Research Centre (UTRC) and Palo Alto Research Centre called as (PARC).

You will learn

✓ Defines and introduces students to optimization techniques
✓ This course introduces students to optimization techniques
✓ optimization problem formulations
✓ important aspects of various optimization algorithms
✓ to use programming to solve optimization problems

Requirements

• No prerequisites required.

This course is for

• Operations researcher, data science and machine learning, optimization

How much does the OPTIMIZATION BASICS course cost? Is it worth it?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $59. So you save $44 if you enroll the course now.

Does the OPTIMIZATION BASICS course have a money back guarantee or refund policy?

YES, OPTIMIZATION BASICS has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the OPTIMIZATION BASICS course, but there is a $44 discount from the original price ($59). So the current price is just $14.99.

Who is the instructor? Is RAHUL RAI a SCAM or a TRUSTED instructor?

RAHUL RAI has created 1 courses that got — reviews which are generally positive. RAHUL RAI has taught 2 students and received a — average review out of — reviews. Depending on the information available, RAHUL RAI is a TRUSTED instructor.
Professor at Clemson University
I am Dr. Rahul Rai. I joined the Department of Automotive Engineering in 2020 as Dean Distinguished Professor in the Clemson University International Center for Automotive Research. I also have industrial research center experiences at United Technology Research Center and Palo Alto Research Center. I am the Founder and CEO of AI Brilliance, a company focused on empowering people to learn about data science, machine learning, and AI concepts.

9.1

CourseMarks Score®

10.0

Freshness

N/A

Feedback

7.8

Content

Platform: Udemy
Video: 7h 10m
Language: English
Next start: On Demand

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