Course Name: Introduction to Stochastic Processes

Course abstract

Random is a common thing that we came across in our daily life. Questions like how much traffic will be on my route today? how much I need to wait to catch a bus to my workplace? will I gain or lose money in stock market? may not have fixed answer as they are associated with random events. In this course we will learn various probability techniques to model a random events and study how to analyze them.


Course Instructor

Media Object

Prof. Manjesh hanawal

Manjesh K. Hanawal received the M.S. degree in ECE from the Indian Institute of Science, Bangalore, India, in 2009, and the Ph.D. degree from INRIA, Sophia Antipolis, France, and the University of Avignon, Avignon, France, in 2013. After two years of postdoc at Boston University, he is now an Assistant Professor in Industrial Engineering and Operations Research at the Indian Institute of Technology Bombay, Mumbai, India. His research interests include performance evaluation, machine learning and network economics. He is a recipient of Inspire Faculty Award from DST and Early Career Research Award from SERB.
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Teaching Assistant(s)

Kapsikar Suyog Pramod

ME/M.Tech

Fehmina Malik

P.hD

Aman

ME/M.Tech

Khushboo Agarwal

M.Sc-PhD Dual degree

 Course Duration : Jan-Apr 2020
  View Course
 Enrollment : 18-Nov-2019 to 03-Feb-2020
 Exam registration : 16-Dec-2019 to 20-Mar-2020
 Exam Date : 25-Apr-2020

Enrolled

699

Registered

4

Certificate Eligible

1

Certified Category Count

Gold

0

Silver

1

Elite

0

Successfully completed

0

Participation

1

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
Introduction to Stochastic Processes - Toppers list

SURESH CHALLIYIL 77%

Enrollment Statistics

Total Enrollment: 699

Registration Statistics

Total Registration : 28

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.