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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
IENG 332STOCHASTIC MODELS3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To teach the fundamentals of the stochastic processes theory and its applications.
Course Content Probability spaces, Random variables, Expectations, Independence, Bernoulli processes, Poisson processes, Markov chains, Queuing theory, Markov processes, Birth-and-death processes, Applications of stochastic process in manufacturing and service systems.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1The student can identify required stochastic models.
2The student can analyze a given stochastic model.
3The student can make appropriate and reasonable proves for important theoretical results.
4The student can employ stochastic processes for real life problems.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001124524523452
LO 002212452345234
LO 003124523452345
LO 004231242234525
Sub Total6811161311141414141416
Contribution223433444444

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments21020
Mid-terms11010
Final examination11616
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes