Course Name: Introduction to Fuzzy Set Theory, Arithmetic and Logic

Course abstract

The primary purpose of this course is to introduce students to the important areas of fuzzy set theory and fuzzy logic. No previous knowledge is needed regarding fuzzy set theory or fuzzy logic. But familiarity with classical set theory, and two-valued logic will be helpful. In most real-life applications of any decision making one needs to face many types on uncertainty. While as humans we can deal with this uncertainty with our reasoning prowess it is not clear how to deal with this uncertainty in a system. Fuzzy sets and fuzzy logic gives us one way of representing this uncertainty and reasoning with them. This course is aimed at providing a strong background for the subject. This course will be useful as an elective course for senior undergraduates, and master degree students. Weekly assignments will be provided and their solutions will be given in the following week to help students to solve the problems.


Course Instructor

Media Object

Prof. Nilladri Chaterjee

Prof. Niladri Chatterjee is a professor of Department of Mathematics, IIT Delhi. He is B.Stat and M.Stat from Indian Statistical Institute Kolkata. He is an M.Tech in Computer Science and PhD in Computer science from University College London. His major research interests are Artificial Intelligence, Machine Learning, Natural Language Processing, Statistical Modeling among others. He has more than 30 years of research and teaching experience. He is also member of several Government committees related to AI and Machine Learning.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jul-Oct 2021

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 Syllabus

 Enrollment : 20-May-2021 to 02-Aug-2021

 Exam registration : 17-Jun-2021 to 17-Sep-2021

 Exam Date : 23-Oct-2021

Enrolled

1130

Registered

91

Certificate Eligible

9

Certified Category Count

Gold

0

Silver

0

Elite

0

Successfully completed

9

Participation

70

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 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
    Note:We have taken best assignment score from both July 2020 and July 2021 courses
Introduction to Fuzzy Set Theory, Arithmetic and Logic - Toppers list

Enrollment Statistics

Total Enrollment: 1130

Registration Statistics

Total Registration : 91

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.