COURSE INFORMATION Course Title: STATISTICAL TECHNIQUES IN HYDROLOGY

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CE 452	B	3	2	2	0	3	7.5

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Mirjam Ndini
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:
Course Description:	Introduction to probability and statistics applications in hydrology: random variables and their statistical properties, commonly used probability distributions in hydrology. Statistical analysis of hydrologic data: frequency analysis, hypothesis testing, analysis of variance. Hydrologic time series analysis and forecasting.
Course Objectives:	This course introduces the hydrological cycle and examines the influence of climate, geology, and human activity on this cycle. The components comprising this cycle will be examined and include: precipitation; evapotranspiration; surface and groundwater flow; storage in natural reservoirs. In this course will emphasize surface processes and watershed responses. Engineering hydrology relates to using scientific knowledge as the basis for making informed decisions concerning water allocation and protection of natural resources. Because the data are the foundations on which all hydrologic analysis, design, and management decisions rest, this course introduces the fundamental concepts and techniques of hydrologic measurements, the various data that are used in the field of hydrology including precipitation, streamflow, ground water, water quality, evaporation, temperature, humidity, and their interpretation. Hydrology is the science which deals with terrestrial waters, their occurrence, circulation and distribution on our planet, their physical and chemical properties and their interaction with the physical and biological environment, including the effect on them of the activity of man. The course is quantitative, with an emphasis on calculating how perturbations such as climate change and land use affect the hydrological cycle. Discussion of these topics in threaded discussions as well as problem sets using the primary literature will highlight applications and areas of current engineering hydrology.

COURSE OUTLINE

Week	Topics
1	Introduction: HYDROLOGY AS A SCIENCE 78 6 STREAMFLOW ANALYSIS AND MODELLING 101 7 WATER QUALITY 125 8 WATER RESOURCE MANAGEMENT IN A CHANGING WORLD
2	PRECIPITATION, Quantitative description of rainfall. Rainfall measurements
3	Rainfall assessment
4	ABSTRACTION- EVAPORATION
5	Catchment Properties
6	RUNOFF -Overland flow-Subsurface flow-Groundwater contribution to stormflow-Baseflow
7	Midterm
8	CHANNEL FLOW-MEASURING STREAMFLOW
9	ESTIMATING STREAMFLOW
10	FLOODS-types of floods-Influences on flood size
11	STREAMFLOW ANALYSIS-HYDROGRAPH ANALYSIS
12	THE UNIT HYDROGRAPH
13	FLOW DURATION CURVES
14	Overwiew

Prerequisite(s):	MTH 205 Probability and Statistics for Engineers
Textbook:	1.FUNDAMENTALS OF HYDROLOGY-Tim Davie
Other References:	2.Engineering hydrology, principles and practices -Victor Ponce; 3. Engineering hydrology- Nurunnisa Usul;
Laboratory Work:
Computer Usage:	yes. applications
Others:	No

COURSE LEARNING OUTCOMES

1	Outline the physical processes of hydrology, including the hydrological cycle in general, and rainfall, loss and groundwater transport mechanisms..Basic understanding of hydrologic cycle and its components.
2	Basic knowledge of the hydrologic measurements, analysis and design. Knowledge of the methods that can be used to measure rainfall and flow, as well as their relative advantages and disadvantages;
3	Determination of design rainfall intensity and hyetographs, peak flow estimation, design hydrograph estimation, groundwater process
4	Basic knowledge of the hydrologic modeling and its engineering applications

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
MSc in Civil Engineering, Profile: Construction Management Program
1	an ability to apply knowledge of mathematics, science, and engineering	4
2	an ability to design a system, component, or process to meet desired needs	3
3	an ability to function on multidisciplinary teams	3
4	an ability to identify, formulate, and solve engineering problems	3
5	an understanding of professional and ethical responsibility	3
6	an ability to communicate effectively	3
7	the broad education necessary to understand the impact of engineering solutions in a global and societal context	4
8	a recognition of the need for, and an ability to engage in life long learning	4
9	a knowledge of contemporary issues	4
10	an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice	3
11	skills in project management and recognition of international standards and methodologies	3

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	30
Quiz	2	10
Case Study	1	10
Final Exam	1	40
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	4	64
Hours for off-the-classroom study (Pre-study, practice)	16	2	32
Mid-terms	1	1	1
Assignments	1	1	1
Final examination	1	2	2
Other			0
Total Work Load:			100
Total Work Load/25(h):			4
ECTS Credit of the Course:			7.5