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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of CIVIL ENGINEERING
Masters with Thesis
Course Catalog
www.ktu.edu.tr/fakulte/mmf/engineering.html
Phone: +90 0462 3772606
FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of CIVIL ENGINEERING / Masters with Thesis
Katalog Ana Sayfa
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INSL5728Statistics Methods In Civil Engineering3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseSecond Cycle
Status Elective
DepartmentDEPARTMENT of CIVIL ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Ömer YÜKSEK
Co-Lecturer
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
Teaching the basics of statistics science and applying theme into various divisions.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Will learn the importance of statistical science for Civil Engineering.
PO - 2 : Will learn the basics of probability theory and its applications in Engineering.
PO - 3 : Will learn various distribution used in Civil Engineering and their applications.
PO - 4 : Will learn basics and applications. of sampling distributions, hypothesis tests and regression analysis.
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
Reliability in Hydrosystems. Basic Concepts of Statistics. Important Probability Functions. Sampling Distributions. Statistical Hypothesis. Regression Analysis.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Reliability in Hydrosystems
 Week 2Reliability in Hydrosystems
 Week 3Basic Concepts of Statistics
 Week 4Basic Concepts of Statistics
 Week 5Important Probability Functions
 Week 6Important Probability Functions
 Week 7Important Probability Functions
 Week 8Sampling Distributions
 Week 9Mid-Term Exam
 Week 10Sampling Distributions
 Week 11Statistical Hypothesis
 Week 12Statistical Hypothesis
 Week 13Regression Analysis
 Week 14Regression Analysis
 Week 15Regression Analysis
 
Textbook / Material
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 30
In-term studies (second mid-term exam) 14 20
End-of-term exam 16 2.0 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 12 36
Sınıf dışı çalışma 1 14 14
Arasınav için hazırlık 6 1 6
Arasınav 6 1 6
Ödev 2 3 6
Dönem sonu sınavı için hazırlık 10 1 10
Dönem sonu sınavı 8 1 8
Total work load86