Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
FMA653STOCHASTIC PROCESSES Compulsory116
Level of Course Unit
Second Cycle
Objectives of the Course
• to learn the basic concepts of probability theory and stochastic processes is to be ready to scientific studies.
Name of Lecturer(s)
DOÇ. DR. SELAHATTİN MADEN
Learning Outcomes
1To have the ability and knowledge of the advanced level of related to the field and use it in real learning environments.
Mode of Delivery
Formal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
• Probability spaces and random variables • Expected value and independence • Bernoulli processes • Poisson processes • Markov chains • The limit behavior of Markov chains and their applications • Markov processes • Renewal theory • Types of binary and random walk processes • The distribution of step heights and the Wiener-Hopf factorization • Wiener-Hopf integral equation and its applications • A combinatorial helping theorem • The distribution of step moments • The arc-sin theory
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Probability spaces and random variables
2Probability spaces and random variables
3Bernoulli processes
4Bernoulli processes
5Poisson processes
6Markov chains, Markov processes
7The limit behavior of Markov chains and their applications
8Midterm exam
9Renewal theory
10Types of binary and random walk processes
11The distribution of step heights and the Wiener-Hopf factorization
12Wiener-Hopf integral equation and its applications
13A combinatorial helping theorem
14The distribution of step moments
15The arc-sin theory
16Final exam
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
Yarıyıl (Yıl) İçi Etkinlikleri40
Yarıyıl (Yıl) Sonu Etkinlikleri60
SUM100
Language of Instruction
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Quiz10110
Attending Lectures14342
Self Study14228
Individual Study for Homework Problems148112
Individual Study for Mid term Examination12020
Individual Study for Final Examination12020
TOTAL WORKLOAD (hours)236
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
LO15      
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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