PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
INS 518	DATA PROCESSING METHODS	3 + 0	1st Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Compulsory
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.

COURSE LEARNING OUTCOMES

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

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11
LO 001	4		3	2		1	2			4
LO 002	4		3	2		1	2			4
LO 003	4		3	2		1	2			4
LO 004	4		3	2		1	2			4
LO 005	4		3	2		1	2			4
Sub Total	20		15	10		5	10			20
Contribution	4	0	3	2	0	1	2	0	0	4	0

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Assignments	2	30	60
Mid-terms	1	25	25
Final examination	1	26	26
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2025-2026 Fall	1	ABDULLAH CEM KOÇ
Details	2025-2026 Fall	2	FATİH DİKBAŞ

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester	Mode of Delivery
INS 518	DATA PROCESSING METHODS	3 + 0	1	Turkish	2025-2026 Fall	Face to Face

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. ABDULLAH CEM KOÇ	a_c_koc@pau.edu.tr		MUH B0110	%70

Goals		To provide information about data and data treatment methods related to civil engineering .
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. .

Topics

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student