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Course Catalog
https://ofinaf.ktu.edu.tr/ofehm
Phone: +90 0462
OFTF
OF FACULTY of TECHNOLOGY / DEPARTMENT of ELECTRONICS and COMMUNICATION ENGINEERING /
Katalog Ana Sayfa
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EHM2007Probability and Statistics in Engineering3+0+0ECTS:3
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of ELECTRONICS and COMMUNICATION ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDoç. Dr. Zeynep HASIRCI TUĞCU
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The objective of this course is to provide electronics and communications engineering students the basic probability concepts and theory.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : Learn basic probabilistics principals.1,2,4,51,
LO - 2 : Gain probablity distribution and models1,2,4,51
LO - 3 : Learn to solve based probabity theory some problems in Electronics and Communications Engineering1,2,4,51
LO - 4 : Gain probablity applications on Electronics and Communications Engineering1,2,4,51,
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), LO : Learning Outcome

 
Contents of the Course
Axiomatic approaches of Probability, Axioms of Probability, Set Theory, Conditional Probabilities and Statistical Independence, Single Random Variables and Probability Distributions, Averages and Standard deviation, Variance, Common random Variables: Binomial, Gauss, Uniform, Rayleigh, Rician, Exponential, Gamma distributions and their models, Characteristics Function, Transforms techniques on Probability functions, Probability Distributions for more than one random Variables, Introduction to random Process, Correlation functions and their applications
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Fundemantals of probability, axioms of probbaility
 Week 2Set concepts and set theory
 Week 3Conditional probability and total probability, examples
 Week 4Statistical indepence and Bayes' theory
 Week 5Random variables, Probablity density function
 Week 6Probablity distribution function
 Week 7Probablistic models, binomial distribution
 Week 8Gaussian, exponential and rayleigh distribution
 Week 9Midterm exam
 Week 10Poission distribution and examples related distribution models
 Week 11 Multiple random variables and functions
 Week 12 Multiple distribution functions, correlation and covariance
 Week 13Correlation coefficient and regression analysis
 Week 14Stochastic process
 Week 15Probablistic applications in engineering problems
 Week 16Final exam
 
Textbook / Material
1Ziemer R.E, 1997; Elements of Engineering Probability and Statistics, Prentice-Hall, USA
 
Recommended Reading
1Akdeniz F, 1996; Olasılık ve İstatistik, Baki Kitabevi, Adana
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 2 50
End-of-term exam 16 2 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 14 28
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 4 2 8
Arasınav 2 1 2
Uygulama 0 0 0
Klinik Uygulama 0 0 0
Ödev 0 0 0
Proje 0 0 0
Kısa sınav 0 0 0
Dönem sonu sınavı için hazırlık 4 2 8
Dönem sonu sınavı 2 1 2
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load90