COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 413STOCHASTIC PROCESSES3 + 05th Semester5

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 prerequisites.
Corequisite No corequisites.
Mode of Delivery Face to face

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

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 01  4         
LO 02444444      
Sub Total448444      
Contribution224222000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration14342
Hours for off-the-classroom study (Pre-study, practice)13339
Assignments11010
Mid-terms11313
Final examination12626
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