Course abstract
This is a PG level course on discrete stochastic processes and queuing, aimed at students working in areas such as communication networks, operations research, and machine learning. It covers Poisson processes, renewal processes, renewal reward theory, queuing models and analyses, Markov chains in discrete as well as continuous time (countable state-space only). A graduate level probability background will be assumed.
Course Instructor
Prof. Krishna Jagannathan
Krishna Jagannathan obtained his B. Tech. in Electrical Engineering from IIT Madras in 2004, and the S.M. and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) in 2006 and 2010 respectively.More info
Teaching Assistant(s)
No teaching assistant data available for this course yetCourse 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 : 24-Oct-2021
Enrolled
385
Registered
10
Certificate Eligible
3
Certified Category Count
Gold
0
Silver
0
Elite
1
Successfully completed
2
Participation
2
Success
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Category : Successfully Completed
Elite
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Category : Elite
Silver
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Category : Silver
Gold
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Category : Gold
Legend
AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40BASED 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
Stochastic Modeling and the Theory of Queues - Toppers list
Enrollment Statistics
Total Enrollment: 385
Registration Statistics
Total Registration : 9
Assignment Statistics
Assignment
Exam score
Final score
Exam score
Final score