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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ISY 504STOCHASTIC PROCESSES3 + 02nd Semester6

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective The purpose of this course, students may face certain or uncertain, the resulting problems of quantitative techniques in the face of events that teaches how to solve the
Course Content Basic probability concept, classification of stochastic process, transformation of stochastic process, stochastic differential equations, stochastic integral, average time, correlation and linear systems, Hilbert transformations, least square periods and Fourier series, harmonic analysis of stochastic process, Markov chains, classification of homogen Markov chains, Markov decision process, restructuring theory.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Probability distributions and learns that the properties of the contours
2Deterministic and stochastic processes, identify and isolate
3Business management purposes is the most appropriate marketing-sales system and processes to receive the task in designing the
4Regarding the planning of the business from the past can make the data
5Based on the analysis of business process and the time can work

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06
LO 001435543
LO 002353534
LO 003534354
LO 004543535
LO 005355353
Sub Total202020212019
Contribution444444

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-terms11212
Final examination12020
Presentation / Seminar Preparation21020
Total Work Load

ECTS Credit of the Course






156

6
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2009-2010 Spring1ARZU ORGAN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ISY 504 STOCHASTIC PROCESSES 3 + 0 1 Turkish 2009-2010 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. ARZU ORGAN aorgan@pau.edu.tr Course location is not specified. %
Goals The purpose of this course, students may face certain or uncertain, the resulting problems of quantitative techniques in the face of events that teaches how to solve the
Content Basic probability concept, classification of stochastic process, transformation of stochastic process, stochastic differential equations, stochastic integral, average time, correlation and linear systems, Hilbert transformations, least square periods and Fourier series, harmonic analysis of stochastic process, Markov chains, classification of homogen Markov chains, Markov decision process, restructuring theory.
Topics
Materials
Materials are not specified.
Resources
Course Assessment
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes