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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Master of Science in Engineering (With Thesis)
Course Catalog
http://eee.ktu.edu.tr/eng/default_eng.aspx
Phone: +90 0462 3253154 , 3772906
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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING / Master of Science in Engineering (With Thesis)
Katalog Ana Sayfa
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ELK5920Stochastic Processes in Engineering3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseSecond Cycle
Status Elective
DepartmentDEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
Lecturer--
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
learn the basic probability theory, and random process. Understand how the probability and random process in some engineering problems use.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : learn the probability theory
PO - 2 : learn the analysis of non-deterministics problems
PO - 3 : learn the stochastics events
PO - 4 : learn the analysis of stochastics problems
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Probability, conditional probability, Bayesian theory, random variables, probabistics models; Binomial, umiform, Gaussian, exponential, Rayleigh, Rician distributions, Charactersitics functions, transforms, probability distributions for more than one random variable, estimation theory and applicatoins, engineering decisions, reliability, random process, random process through systems
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Fundemental Concepts of probability
 Week 2single Random Variables and Probability Distributions
 Week 3Binom, uniform and gauss distributions and applications
 Week 4exponential, rayleigh and rician distributions and applications
 Week 5Characteristics functions and specifiacations
 Week 6Transforms
 Week 7estimation theory
 Week 8engineering decisions
 Week 9arasınav
 Week 10reliability
 Week 11introduction to random process
 Week 12random process through systems
 Week 13exam
 Week 14projects presenations and discuss
 
Textbook / Material
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 2 30
In-term studies (second mid-term exam) 12 2 10
Project 14 5
Oral exam 14 5
End-of-term exam 15 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 2 10 20
Arasınav için hazırlık 5 5 25
Arasınav 2 2 4
Proje 2 10 20
Dönem sonu sınavı için hazırlık 5 6 30
Dönem sonu sınavı 2 1 2
Total work load143