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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 05
LO 00155555
LO 00244444
LO 00354544
LO 00454554
LO 00555555
Sub Total2422242322
Contribution54554

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)13565
Hours for off-the-classroom study (Pre-study, practice)13226
Mid-terms13452
Final examination11313
Total Work Load

ECTS Credit of the Course






156

6
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes