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FACULTY of ENGINEERING / DEPARTMENT of CIVIL ENGINEERING

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FACULTY of ENGINEERING / DEPARTMENT of CIVIL ENGINEERING /
Katalog Ana Sayfa
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INS1006Statistic3+0+0ECTS:4
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of CIVIL ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Temel TÜRKER
Co-LecturerDOCTOR LECTURER Evrim CÜRE,DOCTOR LECTURER Emel TÜRKER,
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To solve problems related to civil engineering with applied statistics science
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : can be able to explain the basic concepts of statistics1,51
LO - 2 : can be able to edit the compiled data and graphically display it1,51
LO - 3 : can be able to calculate and explain mean, variability and dispersion measures1,51
LO - 4 : can be able to make basic statistical calculations1,51
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
Definition of statistic, Collection and arrangement of data, Measures of central tendency, Measures of distribution, skewness and kurtosis, Probability, Sampling distributions, Hypothesis tests, Regression analysis, Analysis of variance.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction (Definition of Statistic, Purpose of Statistic, Some Basic Concepts)
 Week 2Data collection and arrangement (the collection of data, organizing data, arranged in a series of statistical data, graphical presentation of the data)
 Week 3Measures of central tendency (Arithmetic, geometric and harmonic mean, median, mode (peak value), properties of measurements and comparisons)
 Week 4Distribution, slope and kurtosis measures (change interval, coefficient of variation, standard deviation, skewness coefficient, kurtosis coefficient)
 Week 5Probability (Concept of probability, Basic probability rules, Conditional probability)
 Week 6Probability distribution functions (intermittent variables, continuous variables)
 Week 7Sampling distributions (Sampling distribution concept, estimation of population parameters)
 Week 8Sampling distributions (Sampling distribution concept, estimation of population parameters)
 Week 9Midterm Exam
 Week 10Hypothesis testing (tests related to parameters, tests on probability distribution)
 Week 11Regression analysis (Correlation, Simple linear regression)
 Week 12Regression analysis (Simple linear regression, Multivariable linear regression)
 Week 13Regression analysis (Multivariable linear regression, nonlinear regression)
 Week 14Analysis of variance
 Week 15Analysis of variance
 Week 16Final exam
 
Textbook / Material
1Bayazıt, M., Oğuz B. 2013 “Mühendisler için İstatistik”, Birsen Yayınevi, İstanbul
2Köseoğlu M., Yamak R. 2015 "Uygulamalı İstatistik", Celepler Matbaacılık Yayıncılık ve Dağıtım, Trabzon
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 50
End-of-term exam 16 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 0 0 0
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 12 2 24
Arasınav 3 1 3
Uygulama 9 1 9
Klinik Uygulama 0 0 0
Ödev 0 0 0
Proje 0 0 0
Kısa sınav 3 1 3
Dönem sonu sınavı için hazırlık 12 3 36
Dönem sonu sınavı 3 1 3
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load120