Course Name: Introduction to Soft Computing

Course abstract

Soft computing is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in an environment of uncertainty and imprecision. Soft computing is based on some biological inspired methodologies such as genetics, evolution, ant’s behaviors, particles swarming, human nervous systems, etc. Now, soft computing is the only solution when we don’t have any mathematical modeling of problem solving (i.e., algorithm), need a solution to a complex problem in real time, easy to adapt with changed scenario and can be implemented with parallel computing. It has enormous applications in many application areas such as medical diagnosis, computer vision, hand written character recondition, pattern recognition, machine intelligence, weather forecasting, network optimization, VLSI design, etc.


Course Instructor

Media Object

Prof. Debasis Samanta

Dr. Debasis Samanta holds a Ph.D. in Computer Science and Engineering from Indian Institute of Technology Kharagpur. His research interests and work experience spans the areas of Computational Intelligence, Data Analytics, Human Computer Interaction, Brain Computing and Biometric Systems. Dr. Samanta currently works as a faculty member at the Department of Computer Science & Engineering at IIT Kharagpur
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Mar 2021

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 Syllabus

 Enrollment : 18-Nov-2020 to 25-Jan-2021

 Exam registration : 15-Jan-2021 to 12-Feb-2021

 Exam Date : 21-Mar-2021

Enrolled

1865

Registered

211

Certificate Eligible

166

Certified Category Count

Gold

2

Silver

51

Elite

78

Successfully completed

35

Participation

32

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments. Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
    Note:
    We have taken best assignment score from both Jan 2020 and Jan2021 course
Introduction to Soft Computing - Toppers list
Top 1 % of Certified Candidates

USHNISH SARKAR 90%

HOMI BHABHA NATIONAL INSTITUTE

AKSHAY KUMAR MISHRA 90%

MAULANA AZAD NATIONAL INSTITUTE OF TECHNOLOGY, BHOPAL


Top 2 % of Certified Candidates

RANIT KUMAR DEY 88%

INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY, SHIBPUR

PRAGATI HARESHKUMAR SHARMA 88%

GOVERNMENT COLLEGE OF ENGINEERING,KARAD


Top 5 % of Certified Candidates

ANITHA SANDEEP 87%

R V COLLEGE OF ENGINEERING

VINEET KUMAR RAKESH 86%

Homi Bhabha National Institute

SANA SAMSHER SANADI 85%

GOVERNMENT COLLEGE OF ENGINEERING,KARAD

SABA SAREEN 85%

BANARAS HINDU UNIVERSITY

Enrollment Statistics

Total Enrollment: 1865

Registration Statistics

Total Registration : 211

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.