COURSE INFORMATION Course Title: MODELLING IN HYDROLOGY

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CE 520	C	3	3	0	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:	Compulsory
Classroom and Meeting Time:
Course Description:	-
Course Objectives:	The course aims to introduce students to advanced techniques of hydrological analysis that are of particular relevance to engineering and environmental design, planning and management. The course will be prepared mainly to address the computational emphasis of advanced hydrology at a post-graduate level, and to provide an approach to important applications in hydrologic engineering and science. Fundamental mechanisms of hydrologic cycle with the probabilistic approaches will be discussed. A number of selected numerical problems will be solved to illustrate the concepts.

COURSE OUTLINE

Week	Topics
1	Hydrologic Principles - hydrologic cycles and weather, hydrologic losses;
2	Philosophy of Mathematical Models of Watershed Hydrology
3	Hydrologic Analysis - watershed concepts, rainfall-runoff, hydrograph analysis, unit hydrograph theory,
4	Hydrologic Analysis (contd.) -linear and kinematic wave model, and overland flow models;
5	Routing - lumped flow, distributed flow, dynamic wave routing and Muskingum method;
6	Saint - Venant Equations - Reynold's transport theorem, continuity equation, momentum equation, and energy equation;
7	Hydrologic Statistics - statistical parameter estimation, probability distribution, goodness of fit, concepts of probability weighted moments & L-moments,
8	Hydrologic Statistics Contd.)- frequency analysis, Markov process, Markov chain and reliability analysis;
9	Hydrologic Simulation Models - steps in watershed modeling, major hydrologic models
10	Project
11	Hydrologic Statistics (contd.) - frequency analysis, Markov process, Markov chain, reliability analysis.
12	Hydrologic Simulation Models - steps in watershed modeling, major hydrologic models.
13	Review
14	Project presentation

Prerequisite(s):	CE -240- Engineerings Hydrology CE- 452- Statistical Techniques in Hydrology
Textbook:	Bras, R. L., and Rodriguez-Iturbe, 1994, "Random Functions and Hydrology", Dover Publications, New York. 2. Chow, V. T., D. R. Maidment, and L. W. Mays; "Applied Hydrology", McGraw Hill International Editions. 3. Haan, C. T., 2002, "Statistical Methods in Hydrology", 2nd ed., Blackwell Publishing, Ames, IA. 4. Hoskings, J. R. M. and J. R. Wallis, 1997, "Regional Frequency Analysis, An Approach Based on L-Moments", Cambridge University Press, New York. 5. Viessman Jr., W., and G. L. Lewis, "Introduction to Hydrology", 4th ed., Harper-Collins, New York, 1996.
Other References:
Laboratory Work:
Computer Usage:
Others:	No

COURSE LEARNING OUTCOMES

1	The students will gain an understanding of advanced hydrological processes and techniques necessary for tackling engineering and environmental problems,
2	the calculation methods of runoff generation, flow routing
3	will be able to apply advanced computer models for hydrological prediction.
4	The course aims to introduce students to basic aspects and techniques of hydrology that are of particular relevance to engineering and environmental design, planning and management.
5	will be able to use hydrological models in climate change and land-use change studies,
6	will be able on predicting design floods and assessing the impact of human influences on inland water bodies.
7	will be able to build your own simple model, calibrate the parameters of your own model

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

No	Program Competencies	Cont.
MSc in Civil Engineering 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	4
3	an ability to function on multidisciplinary teams	3
4	an ability to identify, formulate, and solve engineering problems	4
5	an understanding of professional and ethical responsibility	4
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	4
11	skills in project management and recognition of international standards and methodologies	2

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Presentation	1	20
Project	1	30
Case Study	1
Final Exam	1	40
Attendance		10
Other	1
	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	3	48
Hours for off-the-classroom study (Pre-study, practice)	16	5	80
Mid-terms			0
Assignments	2	3	6
Final examination	1	3.5	3.5
Other	2	25	50
Total Work Load:			187.5
Total Work Load/25(h):			7.5
ECTS Credit of the Course:			7.5