Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
180102004100PROBABILITY AND STATISTICSCompulsory124
Level of Course Unit
First Cycle
Objectives of the Course
To solve problems related to civil engineering with applied statistics science
Name of Lecturer(s)
Prof. Dr. Ecevit EYDURAN
Learning Outcomes
1Can be able to explain the basic concepts of statistics
2Can be able to explain the basic concepts of statistics
3Can be able to edit the compiled data and graphically display it
4Can be able to edit the compiled data and graphically display it
5Can be able to calculate and explain mean, variability and dispersion measures
6Can be able to calculate and explain mean, variability and dispersion measures
7Can be able to make basic statistical calculations
8Can be able to make basic statistical calculations
Mode of Delivery
Daytime Class
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
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.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction (Definition of Statistic, Purpose of Statistic, Some Basic Concepts)
2Data collection and arrangement (the collection of data, organizing data, arranged in a series of statistical data, graphical presentation of the data)
3Measures of central tendency (Arithmetic, geometric and harmonic mean, median, mode (peak value), properties of measurements and comparisons)
4Distribution, slope and kurtosis measures (change interval, coefficient of variation, standard deviation, skewness coefficient, kurtosis coefficient)
5Probability (Concept of probability, Basic probability rules, Conditional probability)
6Probability distribution functions (intermittent variables, continuous variables)
7Sampling distributions (Sampling distribution concept, estimation of population parameters)
8Midterm Exam
9Sampling distributions (Sampling distribution concept, estimation of population parameters)
10Hypothesis testing (tests related to parameters, tests on probability distribution)
11Regression analysis (Correlation, Simple linear regression)
12Regression analysis (Simple linear regression, Multivariable linear regression)
13Regression analysis (Multivariable linear regression, nonlinear regression)
14Analysis of variance
Recommended or Required Reading
1 Bayazıt, M., Oğuz B. 2013 Mühendisler için İstatistik, Birsen Yayınevi, İstanbul 2 Köseoğlu M., Yamak R. 2015 "Uygulamalı İstatistik", Celepler Matbaacılık Yayıncılık ve Dağıtım, Trabzon
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination122
Self Study14798
Individual Study for Mid term Examination177
Individual Study for Final Examination11010
TOTAL WORKLOAD (hours)118
Contribution of Learning Outcomes to Programme Outcomes
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476 226 13 14 • e-mail: info@igdir.edu.tr