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FACULTY of ENGINEERING / DEPARTMENT of INDUSTRIAL ENGINEERING

Course Catalog
http://www.ktu.edu.tr/endustri
Phone: +90 0462 3773824
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FACULTY of ENGINEERING / DEPARTMENT of INDUSTRIAL ENGINEERING /
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 
END2022Statistics3+0+0ECTS:4
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of INDUSTRIAL ENGINEERING
Prerequisites and co-requisitesDC must have been achieved from END2019-Possibility
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDr. Öğr. Üyesi Fatma Betül YENİ
Co-LecturerNone
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The main objective of this course is to develop a thorough understanding of the methods of probability and statistics which are used to model engineering problems and develop the necessary skills to implement and analyze basic statistical models
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : Define and axplain basic statistical rules1,2,4,12
LO - 2 : Implement descriptive statistical methods1,2,4,12
LO - 3 : Apply some single variable statistical tests1,2,4,12
LO - 4 : Measure the linear relationship between two variables1
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
Basic concepts, data analysis, probability theory, probability distributions , sampling and hypothesis testing, Estimation theory , Correlation analysis
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Basic terminology
 Week 2Data analysis
 Week 3Measures of central tendency
 Week 4Measures of dispersion
 Week 5Probability, Random variables
 Week 6Probability distributions
 Week 7Probability distributions
 Week 8Probability distributions
 Week 9Midterm exam
 Week 10Sampling and hypothesis testing
 Week 11Hypothesis testing
 Week 12Hypothesis testing
 Week 13Statistical prediction
 Week 14Correlation
 Week 15Correlation
 Week 16Final exam
 
Textbook / Material
1Gamgam Hamza vd., Temel İstatistik Yöntemler, Seçkin Yayınları
 
Recommended Reading
 
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 2 14 28
Sınıf dışı çalışma 1 14 14
Arasınav için hazırlık 5 1 5
Arasınav 2 1 2
Dönem sonu sınavı için hazırlık 5 1 5
Dönem sonu sınavı 2 1 2
Total work load56