Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Fuzzy Logic and Neural Networks certification is a multidisciplinary course which can be pursued by graduate or postgraduate students. Students who decide to pursue this course will get to know about fuzzy clustering, fuzzy reasoning, neural network, etc. The programme does not have any limitations regarding the admission process and can be joined by the interested students throughout the year without having to pay any amount. The course is provided as well as mentored by the Indian Institute of Technology, Kharagpur. The teachings of the course are in online mode throughout the Fuzzy Logic and Neural Networks certification syllabus of the course.
The Fuzzy Logic and Neural Networks programme is conducted by the platform of Swayam which is a government-initiated platform and gives free courses to all the students across the country. The duration which is needed to complete the course is 2 months. Candidates can learn from the programme as per their schedules since this is a self-paced course. The online training authorizes the students to be a certified user of the programme by obtaining the certificate through the mode of an exam fee followed by the offline exam. The Fuzzy Logic and Neural Networks online course also provides interactive sessions through case studies and discussions which can be done through the discussion groups created for the user of the course.
The Highlights
- Discussion group
- Online programme
- Free of cost learning
- E-certificate obtainable after passing the exam
- Study material obtainable without any payment
- Throughout access to the course
- Provided by IIT, Kharagpur
- Self-paced training
Programme Offerings
- tests
- assignments
- Discussion platforms
- quizzes
- Modules
- Case studies Video lectures
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Kharagpur |
- Applicants can apply for the Fuzzy Logic and Neural Networks programme and get access to the programme at zero cost.
- Applicants who want to achieve the certificate for the training can pay the quoted amount as Fuzzy Logic and Neural Networks fees.
Fuzzy Logic and Neural Networks fees details
Heads | Amount in Rupees |
Exam fees | Rs.1,000 |
Eligibility Criteria
Certification Qualifying Details
In order to get a certificate, candidates must appear for an offline exam. A minimum of 40% marks has to be secured in the infla exam in order to get the certificate for the Fuzzy Logic and Neural Networks course. A total of 40 marks has to be scored out of which 30 marks must be secured in the exam while 10 marks must be secured as assignment score.
What you will learn
When the course is completed by the student successfully, he or she will be able to gain the following learnings-
- Candidates will come to know about the fundamentals of the fuzzy sets and different terminologies used in the subject.
- Students will gain insights on the difference between crisp sets and fuzzy sets in the Fuzzy Logic and Neural Networks training.
- Learners will acquire information about the working principles of various applications of fuzzy sets.
- Candidates will learn about neural networks and its working in the programme.
- Participants will come to know about the methods through which the optimization of fuzzy reasoning tools can be evolved.
- Students will gain information on radial basis function networks in the course.
- Participants will be equipped with the knowledge of self-organizing maps through the Fuzzy Logic and Neural Networks certification course.
- Candidates will get to know about soft computing and computational intelligence.
Who it is for
The Fuzzy Logic and Neural Networks certification course is suitable for the following participants-
- Candidates who belong to any discipline of engineering.
- Researchers in the same field
- Engineering professionals
Admission Details
Participants can follow the given instructions to get admitted into the course-
Step 1- Candidates can go to the official page of the course via the link- https://onlinecourses.nptel.ac.in/noc22_ge04/preview
Note- Candidates need to wait for the admission process to restart since the official website lacks the availability of the join course option.
The Syllabus
- Introduction to Fuzzy Sets
- Introduction to Fuzzy Sets (contd.)
- Fuzzy reasoning
- Fuzzy reasoning (contd.)
- Fuzzy clustering
- Fuzzy clustering (contd.)
- Fundamentals of Neural Networks
- Multi-layer Feed-Forward Neural Network
- Radial Basis FunctionNetwork
- Self-Organizing Map
- Counter-Propagation Neural Network
- Recurrent Neural Networks
- Deep Learning Neural Network
- Genetic-Fuzzy system
- Genetic-Neural System
- Neuro-Fuzzy System
- Concepts of Soft Computing and Computational Intelligence
- Summary of the Course
Instructors
IIT Kharagpur Frequently Asked Questions (FAQ's)
Students willing to apply for this course can go to the official website of the course and proceed further.
Yes, the course includes case studies for the practical exposure of the candidates.
Candidates do not need to spare any specific hours to pursue the course. The course is a self-paced learning programme and can be pursued whenever the candidates want to do so.
Candidates can take leave whenever they want. Students are allowed to pursue the course according to their schedules.
Candidates need to provide their personal details like email or contact number so that the platform can notify the candidate in case of any announcement.
No, candidates can only avail the certificate if they pass the offline exam.
Candidates can pay the exam fees at the time of the registration process for the exam.
The amount that needs to be paid as the exam registration fee is Rs. 1,000.
Candidates who belong to any engineering discipline who are interested in the subject can apply for the programme.
Candidates can verify the certification for the programme on nptel.ac.in/noc.