PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKNM 413	STOCHASTIC PROCESSES	3 + 0	5th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	To teach stocastic process
Course Content	Definition of stochastic process. Stationary Process; Definition of Marcov Chain; Marcov Chain with discrete variable; Trasition probability; probability vecto and matrix. Relation between first and n steps probability vectors; Marcov Chaing with two state; Classification of states and Limit Theories; Propagator functions, limit theorms; Closed sets, İrreducible markov chains; Equilibrum Distributions, Eigenvalues and eigenvectors of Transition Matrix, Reducible Markov Chain,
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	To be able to use stochastic process.
2	To be able to think analytically.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08
LO 001	3	3	3	3	3	3	3	3
LO 002	3	3	3	3	3	3	3	3
Sub Total	6	6	6	6	6	6	6	6
Contribution	3	3	3	3	3	3	3	3

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
Hours for off-the-classroom study (Pre-study, practice)	14	5	70
Mid-terms	1	4	4
Final examination	1	14	14
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

Prospective Student