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Description of Individual Course Units| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | 20150102004100 | PROBABILITY AND STATISTICS | Compulsory | 2 | 4 | 3 |
| | 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 | | 1 | Can be able to explain the basic concepts of statistics | | 2 | Can be able to edit the compiled data and graphically display it | | 3 | Can be able to calculate and explain mean, variability and dispersion measures | | 4 | Can 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 | |
| 1 | Introduction (Definition of Statistic, Purpose of Statistic, Some Basic Concepts) | | | | 2 | Data collection and arrangement (the collection of data, organizing data, arranged in a series of statistical data, graphical presentation of the data) | | | | 3 | Measures of central tendency (Arithmetic, geometric and harmonic mean, median, mode (peak value), properties of measurements and comparisons) | | | | 4 | Distribution, slope and kurtosis measures (change interval, coefficient of variation, standard deviation, skewness coefficient, kurtosis coefficient) | | | | 5 | Probability (Concept of probability, Basic probability rules, Conditional probability) | | | | 6 | Probability distribution functions (intermittent variables, continuous variables) | | | | 7 | Sampling distributions (Sampling distribution concept, estimation of population parameters) | | | | 8 | Midterm Exam | | | | 9 | Sampling distributions (Sampling distribution concept, estimation of population parameters) | | | | 10 | Hypothesis testing (tests related to parameters, tests on probability distribution) | | | | 11 | Regression analysis (Correlation, Simple linear regression) | | | | 12 | Regression analysis (Simple linear regression, Multivariable linear regression) | | | | 13 | Regression analysis (Multivariable linear regression, nonlinear regression) | | | | 14 | Analysis 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 | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
| | Workload Calculation | |
| Midterm Examination | 1 | 1 | 1 | | Final Examination | 1 | 2 | 2 | | Self Study | 14 | 5 | 70 | | Individual Study for Mid term Examination | 1 | 5 | 5 | | Individual Study for Final Examination | 1 | 10 | 10 | |
| Contribution of Learning Outcomes to Programme Outcomes | | LO1 | 3 | 4 | 3 | 3 | 2 | 3 | 1 | 5 | 4 | 5 | 3 | | LO2 | 4 | 2 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 4 | 4 | | LO3 | 2 | 3 | 3 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 3 | | LO4 | 5 | 4 | 4 | 4 | 5 | 4 | 4 | 2 | 4 | 3 | 5 |
| | * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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