This course explanations and expositions of probability and stochastic processes concepts
which they need for their experiments and research. It also covers theoretical concepts of
probability and stochastic processes pertaining to handling various stochastic modeling. This
course provides random variable, distributions, moments, modes of convergences, classification
and properties of stochastic processes, stationary processes, discrete and continuous time
Markov chains and simple Markovian queueing models.
Important For Certification/Credit Transfer:
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Final Exam (in-person, invigilated, currently conducted in India) is mandatory for Certification and has INR Rs. 1100 as exam fee.
INTENDED AUDIENCE:Under-graduate students of electrical
engineering, computer engineering, mechanical
engineering, civil engineering and mathematics
and computing
CORE/ELECTIVE: Core
UG/PG: UG
PREREQUISITES: A basic course on Calculus and Linear Algebra
INDUSTRY SUPPORT: Fractal Analytics, Genpact, Goldman Sachs,
FinMechanics, Deutsche Bank and other finance
companies.