Soft computing is characterized as a gathering of computational methods dependent on artificial intelligence which is a human like choice and common determination that gives brisk and savvy answers for complex issues for which analytical hard computing details don't exist.
What is Introduction to Soft Computing course about?
Soft computing is an arising way to deal with registering which equal the wonderful capacity of the human psyche to reason and learn in a climate of vulnerability and imprecision. Soft computing depends on some organic propelled strategies, for example, hereditary qualities, advancement, insect's practices, particles amassing, human sensory systems, and so on.
Presently, soft computing is the solitary arrangement. For instance, when we don't have any numerical demonstrating of critical thinking (i.e., algorithm), need an answer for an intricate issue progressively, simple to adjust with changed situation and can be actualized with equal figuring.
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What is the application of Soft Computing?
Soft computing has a very large number of applications in many application areas. For example, pattern recognition, machine intelligence, medical diagnosis, computer vision, VLSI design, handwritten character reconditions, weather forecasting, network optimization, etc.
Who is this course for?
This course is basically an interdisciplinary nature. Students related to CSE, IT, EE, and ECE can take it. Moreover, students from CE and ME can also enroll in this course.
What is the Course Layout?
This course has been divided into 8 modules. That is 1 module per week. In each week you will be covering different topics. Let us look at the different topics that will be covered in the 8 weeks duration:
Week 1: Introduction to Soft Computing, Introduction to Fuzzy rationale, Fuzzy participation capacities, Operations on Fuzzy sets
Week 2: Fuzzy relations, Fuzzy propositions, Fuzzy implications, Fuzzy inferences
Week 3: Defuzzification Techniques-I, Defuzzification Techniques-II, Fuzzy logic controller-I, Fuzzy logic controller-II
Week 4: GA Operators: Encoding, Concept of GA, Solving improvement issues, GA Operators: Selection-I
Week 5: GA Operators: Selection-II, GA Operators: Crossover-I, GA Operators: Crossover-II, GA Operators: Mutation
Week 6: MOEA Approaches: Non-Pareto, Introduction to EC-I, Introduction to EC-II, MOEA Approaches: Pareto-I
Week 7: MOEA Approaches: Pareto-II, Introduction to ANN, ANN Architecture
Week 8: ANN Training-I, ANN Training-II, ANN Training-III, Applications of ANN.
Level
The level for this course is both Undergraduate and Postgraduate.
Important dates to remember
This is an elective 8 week course. The start date for this course is 8 Jan 2021. The end date is 12 March 2021. The exam is date is 21st March 2021. The last date for enrollment into this course is 1st Feb 2021.
Who is the Instructor?
The instructor for this course is Debasis Samanta. He has a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Kharagpur. His examination advantages and work experience traverse the zones of Computational Intelligence, Data Analytics, Human Computer Interaction, Brain Computing, and Biometric Systems. Dr. Samanta at present functions as an employee at the Department of Computer Science and Engineering at IIT Kharagpur.
Course Certification
The course is free to gain information from. However, in the event that you need a certification, you need to enroll and compose the delegated test led by us face to face at any of the assigned test habitats. The test is optional for a charge of Rs 1000/ -.
Registration URL declarations will be made when the enrollment structure is open for enlistments. The online enrollment structure must be filled and the accreditation test charge should be paid. More nuances will be made available when the test enlistment structure is appropriated. In the event that there are any changes, it will be referenced at that point.
You can check the form for additional subtleties on the urban areas where the tests will be held, the conditions you consent to when you fill the form, and so forth.
Criteria to get a Certificate
Average task score = 25% of normal of best 6 tasks out of them all out 8 tasks given in the course.
Test score = 75% of the administered certificate test score out of 100
Last score = Average task score + Test score
In order for you to gain a certificate it is important that you have them:
Task score at least 10/25 and,
The test score to be 30/75.
If any of the above mentioned criteria are not fulfilled then you will not be able to gain the certificate.
Final Thoughts
So, this was a review for Soft Computing Course We hope that you are properly prepared to enroll for this course. Stay safe, and keep learning.