• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Learning outcomes

Upon successful completion of this course, students will be able to:

1. Type English text

   Contribution to Program Outcomes

   1. To know the application domain of Earth-Marine Science
   2. To be able to design and conduct experimental studies in the field of Earth Science and/or Marine Science that he/she specializes in and to be able to interpret the relevant physical, chemical, biological occurring in nature
   3. To be able to interpret the produced data in terms of complex processes occurring in nature by processing with different software
   4. Adopting an open approach to continuous learning and following up-to-date and reliable sources of information
   5. To follow natural disasters around the world and to develop recommendations on minimizing the damage caused by natural disasters at the national level

   Method of assessment

   1. Written exam
   2. Term paper
2. Type English text

   Contribution to Program Outcomes

   1. To know the application domain of Earth-Marine Science
   2. To be able to design and conduct experimental studies in the field of Earth Science and/or Marine Science that he/she specializes in and to be able to interpret the relevant physical, chemical, biological occurring in nature
   3. To be able to interpret the produced data in terms of complex processes occurring in nature by processing with different software
   4. To be aware of and follow the rapid technological and scientific change in the field of Earth and Marine science
   5. To follow natural disasters around the world and to develop recommendations on minimizing the damage caused by natural disasters at the national level

   Method of assessment

   1. Written exam
   2. Term paper
3. Type English text

   Contribution to Program Outcomes

   1. To know the application domain of Earth-Marine Science
   2. To be able to design and conduct experimental studies in the field of Earth Science and/or Marine Science that he/she specializes in and to be able to interpret the relevant physical, chemical, biological occurring in nature
   3. To be able to interpret the produced data in terms of complex processes occurring in nature by processing with different software
   4. To have a good command of Turkish and English terms related to Earth and Marine Sciences and to be able to express ideas effectively in both languages orally and in writing
   5. To follow natural disasters around the world and to develop recommendations on minimizing the damage caused by natural disasters at the national level

   Method of assessment

   1. Written exam
   2. Term paper

Contents
Week 1:	Introduction to Watershed Modeling
Week 2:	Water Resource Management and Planning
Week 3:	Rainfall-Runoff Modelling
Week 4:	Physically-based Modelling
Week 5:	Estimation of Pollution Loads
Week 6:	Water Quality Simulations
Week 7:	Model Calibration and Evaluation
Week 8:	Midterm Exam, Data Sources
Week 9:	Data Acquisition and Preprocessing
Week 10:	Water Resource Systems Modeling
Week 11:	Integrated Modeling
Week 12:	Environmental Change Analysis
Week 13:	Special Topics in Watershed Modeling
Week 14:	Case Studies and Applications, Term Project Submission
Week 15*:	-
Week 16*:	Final Exam
Textbooks and materials:	DP Loucks, E Van Beek, 2017. “Water Resource Systems Planning and Management: An Introduction to Methods, Models, and Application”, Springer. Chapra, S.C., 2008. "Surface Water-Quality Modelling", Waveland Press. Thomann, R.V., Mueller, J.A., 1987. "Principles of Surface Water Quality - Modeling and Control", Harper and Row Publishers.
Recommended readings:	Seppelt, R., 2003, “Computer Based Environmental Management”, Wiley-VCH. Ven Te Chow, David R. Maidment, Larry W. Mays, 2010,“Applied Hydrology”, McGraw-Hill International Editions. V.P. Singh, D. K. Frevert, 2010, "Watershed Models", CRC Press.
	* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

Assessment
Method of assessment	Week number	Weight (%)
Mid-terms:	8	25
Other in-term studies:		0
Project:	14	35
Homework:		0
Quiz:		0
Final exam:	16	40
	Total weight:	(%)

Workload
Activity	Duration (Hours per week)	Total number of weeks	Total hours in term
Courses (Face-to-face teaching):	3	14
Own studies outside class:	1.5	14
Practice, Recitation:	0	0
Homework:	0	0
Term project:	5	12
Term project presentation:	1	1
Quiz:	0	0
Own study for mid-term exam:	5	6
Mid-term:	2	1
Personal studies for final exam:	5	6
Final exam:	3	1
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)