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INS7642 | Water Resources System Engineering | 3+0+0 | ECTS:7.5 | Year / Semester | Spring Semester | Level of Course | Third Cycle | Status | Elective | Department | DEPARTMENT of CIVIL ENGINEERING | Prerequisites and co-requisites | None | Mode of Delivery | Face to face | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | -- | Co-Lecturer | None | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | To introduce main concepts of water resource systems. |
Programme Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | describe hydrological models and simulation. | 1,4,5 | 1.6 | PO - 2 : | employ statistical techniques on various kinds of hydrological data. | 1,2,4,5,11 | 1.6 | PO - 3 : | interprete hydrological variables. | 1,2,5,11 | 1.6 | PO - 4 : | employ water resources systems. | 1,2,4,5,11 | 1.6 | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | |
The nature of hydrological data. Hydrological models and simulation: Classification of mathematical models. Generation of squences of a single hydrological variables: Internally independent random squences, sequences with internal persistence, the Thomas-Fiering model, generation of data sequences for daily and shorter time intervals. Generation of sequences for daily and shorter time intervals. Generation of sequences of several hydrological variables. Hydrological models: The API-Model, the USDAHL-70 model, the Stanford watershed model IV, urban runoff. Water resources systems. Time series. |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | The nature of hydrological data. | | Week 2 | The nature of hydrological data. | | Week 3 | Hydrological models and simulation. | | Week 4 | Hydrological models and simulation. | | Week 5 | Classification of mathematical models. | | Week 6 | Classification of mathematical models. | | Week 7 | Practice. | | Week 8 | Mid-term exam | | Week 9 | Generation of squences of a single hydrological variables. | | Week 10 | Generation of squences of a single hydrological variables. | | Week 11 | Generation of sequences of several hydrological variables. | | Week 12 | Generation of sequences of several hydrological variables. | | Week 13 | Hydrological models: The API-Model, the USDAHL-70 model, the Stanford watershed model IV, urban runoff. | | Week 14 | Hydrological models: The API-Model, the USDAHL-70 model, the Stanford watershed model IV, urban runoff. | | Week 15 | Time series. | | Week 16 | End-of-term exam | | |
1 | Ü., ÖZİŞ, 1978, Su Yapıları, İZMİR. | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 8 | 10/11/2009 | 2 | 30 | In-term studies (second mid-term exam) | 12 | 13/11/2009 | 2 | 20 | End-of-term exam | 16 | 05/01/2010 | 2 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 14 | 42 | Laboratuar çalışması | 4 | 10 | 40 | Arasınav için hazırlık | 10 | 1 | 10 | Arasınav | 2 | 1 | 2 | Uygulama | 3 | 14 | 42 | Ödev | 3 | 14 | 42 | Kısa sınav | 1 | 4 | 4 | Dönem sonu sınavı için hazırlık | 14 | 1 | 14 | Dönem sonu sınavı | 2 | 1 | 2 | Total work load | | | 198 |
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