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Fuzzy Logic: Quick Start Guide

Artificial Intelligence & Soft Computing with MATLAB
4.1
☆☆☆☆☆ 4.1/5
(91 reviews)
406 students
Created by
Dr. Jignesh Makwana

8.7

CourseMarks Score®

8.1

Freshness

8.5

Feedback

8.9

Content

Detailed Analysis »

Artificial Intelligence & Soft Computing with MATLAB
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Platform: Udemy
Price: check current price
Video: 3h 48m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

8.7 / 10

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

Freshness Score

8.1 / 10
This course was last updated on 10/2020.

Course content can become outdated quite quickly.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

8.5 / 10
We analyzed factors such as the rating (4.1/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

8.9 / 10
Video Score: 8.1 / 10
The course includes 3h 48m 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.
The average video length is 2 hours 12 minutes of 3 Fuzzy Logic courses on Udemy.
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: 9.5 / 10

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

This course contains:

0 article.
11 resources.
0 exercise.
0 test.

Table of contents

Description

  What you'll learn
  Requirements
  Who this course is for
FAQ
  Price
  Refund policy
  Scholarships
Instructor
Recommended courses

Description

About Course:
Course is designed to understand concept of Fuzzy Logic & its implementation in MATLAB
Introduction:
Fuzzy Logic & ANN (Artificial Neural Network) are two most important tools of Artificial Intelligence & Machine Learning. This course is design to explain Fuzzy Logic Controller in most simplified way. Course flow is specially designed for quick start straight through applications & implementation. It mainly focuses on implementation of Fuzzy Logic with MATLAB toolbox and its interface in Simulink environment.
What’s unique in this course?
•Course contents & it’s flow are designed to understand concept of fuzzy logic in most simplified manner
•It is designed and executed to get quick hands-on practices on various real life examples with MATLAB Fuzzy Logic Tool Box and its interface with Simulink.
•Course is designed to cover all branches and filed including engineering & science, medical, finance, management and more.
•Course will be updates continuously as much as possible with new applications and implementation of Fuzzy Logic.

You will learn

✓ You will have clear idea about ‘what fuzzy logic is?’
✓ You will be able to apply fuzzy logic to different applications of your relevant field.
✓ You will have skill to develop fuzzy logic system for various applications in MATLAB fuzzy logic tool box.
✓ You will be able to interface fuzzy logic system in MATLAB Simulink environment.

Requirements

• There is no prerequisites, anyone can understand the concept of fuzzy logic

This course is for

• Course is highly recommended to engineering UG/PG students of any branch to apply power of artificial intelligence and soft computing in your relevant field.
• Course will provide new area of research and publication possibilities for research scholars of various field.
• Course is recommended to all enthusiastic school students from age of 12 and above.
• Course is for all who are curious to understand soft computing, artificial intelligence and fuzzy logic system.

How much does the Fuzzy Logic: Quick Start Guide course cost? Is it worth it?

The course costs $14.99. And currently there is a 73% discount on the original price of the course, which was $54.99. So you save $40 if you enroll the course now.
The average price is $15.3 of 3 Fuzzy Logic courses. So this course is 2% cheaper than the average Fuzzy Logic course on Udemy.

Does the Fuzzy Logic: Quick Start Guide course have a money back guarantee or refund policy?

YES, Fuzzy Logic: Quick Start Guide 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 Fuzzy Logic: Quick Start Guide course, but there is a $40 discount from the original price ($54.99). So the current price is just $14.99.

Who is the instructor? Is Dr. Jignesh Makwana a SCAM or a TRUSTED instructor?

Dr. Jignesh Makwana has created 14 courses that got 784 reviews which are generally positive. Dr. Jignesh Makwana has taught 10,126 students and received a 4.1 average review out of 784 reviews. Depending on the information available, Dr. Jignesh Makwana is a TRUSTED instructor.

More info about the instructor,

Dr. Jignesh Makwana

Associate Professor
Dr. Jignesh Makwana started his academic career in 2004. He received a Phd degree in Electrical Engineering with the specialization in power electronics & drive from Indian Institute of Technology Roorkee in 2013. His interest and enthusiasm for teaching & learning, research & development and innovations in all fields lead him as a good contributor in the academic & industrial field. He has vast academic experience with various reputed universities & institutes. Dr. Jignesh Makwana has international exposure of visiting several countries and representing expertise in the field of power electronics converters, artificial intelligence, renewable energy, etc. He published a number of research papers in international and national conferences and reputed journals. He guided a number of UG and PG students for their dissertation and project works. He is former head of the department of Electrical Engineering Department at Marwadi University, Rajkot, Gujarat. He is founder & director of RhyMak Electronics which involves in design and development of electrical vehicles & accessories and electronic products. He provided consultancy service to several industries for the design of power electronics and special motors. He is also founder and active online instructor at Rhyni – Tech Skills & Fundamentals, hub of online self paced courses, with 3500+ students from 120+ countries.
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Go to class »

8.7

CourseMarks Score®

8.1

Freshness

8.5

Feedback

8.9

Content

Detailed Analysis »

Artificial Intelligence & Soft Computing with MATLAB
Go to class »
Platform: Udemy
Price: check current price
Video: 3h 48m
Language: English
Next start: On Demand

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