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

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.


Teaching Assistant(s)

S. R. SREEJA

PhD., Computer Science and Engineering

Tauheed Ahmed

PhD., Subir Chowdhury School of Quality and Reliability

 Course Duration : Feb-Mar 2018

  View Course

 Enrollment : 20-Nov-2017 to 05-Feb-2018

 Exam registration : 08-Jan-2018 to 07-Mar-2018

 Exam Date : 28-Apr-2018

Enrolled

3907

Registered

250

Certificate Eligible

196

Certified Category Count

Gold

8

Silver

0

Elite

118

Successfully completed

70

Participation

20

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

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
Introduction to Soft Computing - Toppers list
Top 1 % of Certified Candidates

ANAND CHINTAMANI SABNE 93%

COLLEGE OF ENGINEERING, PUNE

PRATHAMESH KALYAN MANDKE 91%

COLLEGE OF ENGINEERING, PUNE


Top 2 % of Certified Candidates

SHAH AKIB SHABBIR 90%

College of Engineering, Pune

HRISHIKESH KALE 90%

COLLEGE OF ENGINEERING PUNE

SIMRAN KHARPUDE 90%

COLLEGE OF ENGINEERING, PUNE (COEP)

PANDA ABRUTI ADIREKHA ASHOK KUMAR 90%

COLLEGE OF ENGINEERING, PUNE

MOHAMMAD YASIN 90%

AL-KABIR POLYTECHNIC

RAVI DOMALA 90%

GOVERNMENT OF INDIA, MINISTRY OF DEFENCE, R & D ORGANISATION


Top 5 % of Certified Candidates

HRISHIKESH SHRINIVAS MAHAJAN 88%

COLLEGE OF ENGINEERING PUNE

KULKARNI ABHISHEK SATISH 87%

COLLEGE OF ENGINEERING, PUNE.

VAISHNAVI SUSHRUT HARDIKAR 87%

COLLEGE OF ENGINEERING,PUNE

Enrollment Statistics

Total Enrollment: 3907

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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.