1. THIRD CYCLE - DOCTORATE DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. CIVIL ENGINEERING DEPARTMENT
  4. 1625 Civil Engineering PhD
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
INS 518DATA PROCESSING METHODS3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective To provide information about data and data treatment methods related to civil engineering .
Course Content Statistical Data Analysis. Parameter Estimation. Frequency Analysis. Confidence Interval. Hypothesis Testing. Probability Distribution Functions. Analysis of Variance. Correlation. Simple Linear Regression. Alternative Regression Methods. Quality Control. Sampling by Quality and Variables. Statistical Analysis of Time Series. Modelling. Synthetic Series Generation. Multivariable Models. Forecasting Definition Of Risk. Return Period Analysis. Extreme Value Distributions. Distributions Used in Risk Analysis. Direct Integration Method. Monte-Carlo Simulation Method. Reliability Index Method. First-Order Second-Moment Method. Mean Value First-Order Second-Moment Method. Advanced First-Order Second-Moment Method. Linear Performance Functions. Nonlinear Performance Functions. Distribution Transformation of Basic Variables. Application To Engineering Problems. .
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Will be able to know data types.
2Will be able to determine data parameters by using statistical analysis.
3Will be able to know probability concept.
4Will be able to know probability distribution models.
5Will be able to know regression analysis.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 0014 32 12  4 
LO 0024 32 12  4 
LO 0034 32 12  4 
LO 0044 32 12  4 
LO 0054 32 12  4 
Sub Total20 1510 510  20 
Contribution40320120040

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments23060
Mid-terms12525
Final examination12626
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes