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| INS1006 | Statistic | 3+0+0 | ECTS:4 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of CIVIL ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Temel TÜRKER | | Co-Lecturer | DOCTOR LECTURER Evrim CÜRE,DOCTOR LECTURER Emel TÜRKER, | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To solve problems related to civil engineering with applied statistics science |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | can be able to explain the basic concepts of statistics | 1,5 | 1 | | LO - 2 : | can be able to edit the compiled data and graphically display it | 1,5 | 1 | | LO - 3 : | can be able to calculate and explain mean, variability and dispersion measures | 1,5 | 1 | | LO - 4 : | can be able to make basic statistical calculations | 1,5 | 1 | | 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 | | |
| 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. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction (Definition of Statistic, Purpose of Statistic, Some Basic Concepts) | | | Week 2 | Data collection and arrangement (the collection of data, organizing data, arranged in a series of statistical data, graphical presentation of the data) | | | Week 3 | Measures of central tendency (Arithmetic, geometric and harmonic mean, median, mode (peak value), properties of measurements and comparisons) | | | Week 4 | Distribution, slope and kurtosis measures (change interval, coefficient of variation, standard deviation, skewness coefficient, kurtosis coefficient) | | | Week 5 | Probability (Concept of probability, Basic probability rules, Conditional probability) | | | Week 6 | Probability distribution functions (intermittent variables, continuous variables) | | | Week 7 | Sampling distributions (Sampling distribution concept, estimation of population parameters) | | | Week 8 | Sampling distributions (Sampling distribution concept, estimation of population parameters) | | | Week 9 | Midterm Exam | | | Week 10 | Hypothesis testing (tests related to parameters, tests on probability distribution) | | | Week 11 | Regression analysis (Correlation, Simple linear regression) | | | Week 12 | Regression analysis (Simple linear regression, Multivariable linear regression) | | | Week 13 | Regression analysis (Multivariable linear regression, nonlinear regression) | | | Week 14 | Analysis of variance | | | Week 15 | Analysis of variance | | | Week 16 | Final exam | | | |
| 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 | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | | 50 | | End-of-term exam | 16 | | | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (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 load | | | 120 |
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