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

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

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

Textbook / Material

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