CE472 STATISTICAL TECHNIQUES IN HYDROLOGY

Course Code:5620472
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:5.0
Department:Civil Engineering
Language of Instruction:English
Level of Study:Undergraduate
Course Coordinator:Prof.Dr. İSMAİL YÜCEL
Offered Semester:Fall or Spring Semesters.

Course Objectives

The aim of this course is to introduce the basic tools of statistical techniques in planning, analysis and design of water structures related to hydrology and water resources engineering. The course materials enable the senior CE students to introduce the knowledge of the commonly used methods into hydro system enginneering.


Course Content

Introduction to role of probability, statistics and uncertainty. Random variables for analytical modeling, parameter estimation techniques. Discrete and continuous probability distribution functions. Point and regional frequency analysis using L-moment ratio. Testing statistical hypothesis with applications.


Course Learning Outcomes

This course is planned to fill the gap between statistics, engineering hydrology and water resources engineering and other technical elective courses offered in the field of hydrosystems with real world data exercises and examples.


Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3An ability to communicate effectively with a range of audiences
4An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7An ability to acquire and apply new knowledge as needed, using appropriate learning strategies
8An ability to use techniques, skills, and engineering tools necessary for engineering practice