Türkçe | English
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
PhD in Electrical Engineering
Course Catalog
http://eee.ktu.edu.tr/eng/default_eng.aspx
Phone: +90 0462 3253154 , 3772906
FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING / PhD in Electrical Engineering
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 

ELKL7300Multivariate Data Analysis3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face, Group study
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDoç. Dr. Yusuf SEVİM
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The visual display of multivariate data and more meaningful information extraction
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
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
The organization of Data. Data displays and pictorial representations. Distance measure methods. Random vectors and matrices. Mean vector, covariance matrices, random samples and expected values of the sample mean and covariance matrix. Sample mean, covariance and correlation as matrix operations. The multivariate normal density and its properties. Detecting outliers and cleaning data. Linear regression. Principal componen analysis algorithm. Factor analysis algorithm. Canonical correlation algorithm. EM algorithm. Linear discriminant analysis algorithm.
 
Textbook / Material
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)

    

    

    

    

    

 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Laboratuar çalışması 0 0 0
Klinik Uygulama 0 0 0
Kısa sınav 0 0 0
Dönem sonu sınavı için hazırlık 5 10 50
Dönem sonu sınavı 2 1 2
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load52