
Description of Individual Course UnitsCourse Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  180102004100  PROBABILITY AND STATISTICS  Compulsory  2  4  4 
 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 explain the basic concepts of statistics  3  Can be able to edit the compiled data and graphically display it  4  Can be able to edit the compiled data and graphically display it  5  Can be able to calculate and explain mean, variability and dispersion measures  6  Can be able to calculate and explain mean, variability and dispersion measures  7  Can be able to make basic statistical calculations  8  Can be able to make basic statistical calculations 
 Mode of Delivery  Daytime Class  Prerequisites and corequisities  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  7  98  Individual Study for Mid term Examination  1  7  7  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  LO5             LO6             LO7             LO8            
 * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High 



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