Course abstract
This course explanations and expositions of stochastic processes concepts which they need for their experiments and research. It also covers theoretical concepts pertaining to handling various stochastic modeling. This course provides classification and properties of stochastic processes, discrete and continuous time Markov chains, simple Markovian queueing models, applications of CTMC, martingales, Brownian motion, renewal processes, branching processes, stationary and autoregressive processes.
Course Instructor
Prof. Dharmaraja
Prof.S. Dharmaraja earned his M.Sc. degree in Applied Mathematics from Anna University, Madras, India, in 1994 and Ph.D. degree in Mathematics from the Indian Institute of Technology Madras, in 1999. From 1999 to 2002, he was a post-doctoral fellow at the Department of Electrical and Computer Engineering, Duke University, USA. From 2002 to 2003, he was a research associate at the TRLabs, Winnipeg, Canada.More info
Teaching Assistant(s)
Course Duration : Jan-Apr 2017
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Syllabus
Enrollment : 01-Jan-2017 to 23-Jan-2017
Exam registration : 15-Feb-2017 to 27-Mar-2017
Exam Date : 23-Apr-2017
Enrolled
742
Registered
6
Certificate Eligible
4
Certified Category Count
Gold
0
Elite
0
Successfully completed
4
Participation
0
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 8 out of 12 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Stochastic Processes - Toppers list
Enrollment Statistics
Total Enrollment: 742
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