Course Name: Probability for Computer Science

Course abstract

Probability is one of the most important ideas in human knowledge. This is a crash course to introduce the concept of probability formally; and exhibit its applications in computer science, combinatorics, and algorithms. The course will be different from a typical mathematics course in the coverage and focus of examples. After finishing this course a student will have a good understanding of both theory and practice of probability in diverse areas.


Course Instructor

Media Object

Prof. Nitin Saxena

I completed my Bachelors in Computer Science from the Indian Institute of Technology, Kanpur in 2002 and completed my PhD under Manindra Agrawal in 2006. I am broadly interested in Computational Complexity Theory, Algebra, Geometry and Number Theory. I have been a visiting graduate student in Princeton University (2003-2004) and National University of Singapore (2004-2005); a postdoc at CWI, Amsterdam (2006-2008) and a Bonn Junior Fellow (W2 Professor) at Hausdorff Center for Mathematics, Bonn (2008-2013). Since April 2013, I have a faculty position in the department of CSE, IIT Kanpur.

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Aug-Oct 2021
  View Course
 Syllabus
 Enrollment : 20-May-2021 to 02-Aug-2021
 Exam registration : 17-Jun-2021 to 17-Sep-2021
 Exam Date : 23-Oct-2021

Enrolled

4524

Registered

186

Certificate Eligible

80

Certified Category Count

Gold

0

Silver

12

Elite

28

Successfully completed

40

Participation

36

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
Probability for Computer Science - Toppers list

SHASHANK S 83%

BMS College of Engineering

SHAURYA BHATNAGAR 82%

VAISH COLLEGE OF ENGINEERING,ROHTAK

DUSHYANT RAI TARA 82%

Walmart

D KARTHIK 80%

SRI SIVASUBRAMANIYA NADAR COLLEGE OF ENGINEERING

ASTIKA ANAND 80%

INDIRA GANDHI DELHI TECHNICAL UNIVERSITY FOR WOMEN

SHAMAPARVEEN MAHMADASRAF MULLA 80%

SARVAJANIK COLLEGE OF ENGINEERING & TECHNOLOGY

Enrollment Statistics

Total Enrollment: 4524

Registration Statistics

Total Registration : 185

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.