PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ENM 611	STOCHASTIC PROCESSES	3 + 0	1st Semester	7,5

COURSE DESCRIPTION

Course Level	Doctorate Degree
Course Type	Compulsory
Course Objective	*To teach 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, Renewal theory
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

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

COURSE'S CONTRIBUTION TO PROGRAM

Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Mid-terms	1	60	60
Final examination	1	93	93
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

This course is not available in selected semester.

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

Prospective Student