Course abstract
With the advent of machine learning, data mining, and many other modern applications of computer science, we are increasingly seeing the influence of probability theory on computer science. This course is aimed at providing a brief introduction to probability theory to CS students so that they can grasp recent CS trends more easily.
Course Instructor
Prof. John Augustine
John Augustine earned his PhD in theoretical computer science in 2006 from the Donald Bren School of Information and Computer Science, University of California, Irvine, USA. Since then, his career has spanned both academia and industry. In 2011, he joined the Department of Computer Science and Engineering at IIT Madras, where he is currently an associate professor. His research interests are in designing and analyzing algorithms for foundational problems. In the last few years, he has been interested in designing randomized algorithms for distributed computing environments and employing probabilistic techniques to analyze them.
Teaching Assistant(s)
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
4127
Registered
64
Certificate Eligible
37
Certified Category Count
Gold
0
Silver
0
Elite
16
Successfully completed
21
Participation
8
Success
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Category : Successfully Completed
Elite
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Category : Elite
Gold
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Category : Gold
Legend
>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate
Final Score Calculation Logic
- Assignment Score = Average of best 3 out of 4 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Enrollment Statistics
Total Enrollment: 4127
Assignment Statistics
Feedback Videos
Exam score
Final score