STATISTICAL METHODS IN CIVIL ENGINEERING

CE504

Course Code: CE504
Semester: -
Theory+Practice: 3 + 0
ECTS: 10

Course Type

Elective Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Analyze civil engineering data using appropriate statistical distributions,
Develop and interpret regression, variance analysis and prediction models for complex engineering problems,
Perform classification and clustering analyses using computer-based statistical tools.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

Introduction to statistical methods in civil engineering, computer aided research in statistical applications, statistical data and data collection methods, descriptive statistics, commonly used distributions in civil engineering, analysis of variance, correlation, estimation models, regression analysis, discrimination, classification and clustering.

Course Contents

WEEK	TOPICS
1^st Week	Introduction to statistics in civil engineering
2^nd Week	Data types and data collection methods
3^rd Week	Descriptive statistics
4^th Week	Probability concepts and basic distributions
5^th Week	Normal, lognormal and extreme value distributions
6^th Week	Common distributions in civil engineering
7^th Week	Regression analysis (simple)
8^th Week	Midterm
9^th Week	Correlation analysis
10^th Week	Multiple regression and prediction models
11^th Week	Analysis of variance (ANOVA)
12^th Week	Discriminant analysis
13^th Week	Classification methods
14^th Week	Clustering techniques
15^th Week	Applications and general evaluation

Recommended or Required Reading

1. Walpole R.E., Myers R.H. Myers Sh. L. Ye K. Probability and Statistics or Engineers and Scientists Prentice Hall. 7th edition.
2. Washington S. P., Karlaftis M. G., Mannering F. L., Statistical and Econometric Methods for Transportation Data Analysis, Second Edition, CRC Press, Taylor and Francis Group, 201.
3. Ang, A.H-S. and W.H. Tang, Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering, 2nd edition, John Wiley & Sons, 2007.
4. Hinton, P.R., Brownlow, C., Mac Murray, I., Cozens, B., 2004; SPSS Explained, Routledge.

Planned Learning Activities and Teaching Methods

Lecture
Questions/Answers
Presentation

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Assignment	1	10
Quiz	1	20
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz	1	50	50
Individual or group work	14	3	42
Preparation for Final exam	1	80	80
Course hours	14	3	42
Preparation for Midterm exam	1	60	60
Laboratory (including preparation)
Final exam	1	2	2
Homework	1	20	20
Quiz	1	2	2
Total Work Load			300
Total Work Load / 30 (h)			10
ECTS Credit of the Course			10

Language of Instruction

English

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3
K1	X	X	X
K2		X
K3		X
K4	X	X	X
K5
K6
K7
K8			X
K9
K10
K11	X		X