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Course Description Course Name : Statistical Methods in Hydrology Course Code : İM-515 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. RECEP YURTAL Learning Outcomes of the Course : Uses Probability and Statistical Methods for modeling and analyzing of Hydrologic Data Learns Flood Frequency Analysis and DEstimation of Flood Discharge Analyzes Hydrologic Time Series Uses Statistical Models in Hydrology Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Using Statistical Methods on Hydrology and Application on Designing of Hydraulic Structures Course Contents : 1) Using Probability and Statistical Methods for modeling and analyzing of Hydrologic Data 2) Flood Frequency Analysis and DEstimation of Flood Discharge 3) Analysis of Hydrologic Time Series 4) Using Statistical Models in Hydrology Language of Instruction : Turkish Work Place : Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Basic Statistical Definitions Handouts, Presentations and Textbooks Presentations and Examples 2 Measurement and Evaluation of Hydrological Data Handouts, Presentations and Textbooks Presentations and Examples 3 Probability Distribution Handouts, Presentations and Textbooks Presentations and Examples 4 Probability Distribution Handouts, Presentations and Textbooks Presentations and Examples 5 Risk and Recurrence Period Handouts, Presentations and Textbooks Presentations and Examples 6 Flood Frequency Analysis Handouts, Presentations and Textbooks Presentations and Examples 7 Flood Frequency Analysis Handouts, Presentations and Textbooks Presentations and Examples 8 Flood Frequency Analysis Handouts, Presentations and Textbooks Presentations and Examples 9 Hypohtesis Tests Handouts, Presentations and Textbooks Presentations and Examples 10 Mid-Term Exam Revision Exam 11 Rainfall - Runoff Relationships Handouts, Presentations and Textbooks Presentations and Examples 12 Rainfall - Runoff Relationships Handouts, Presentations and Textbooks Presentations and Examples 13 Analsysis of Hydrological Time Series Handouts, Presentations and Textbooks Presentations and Examples 14 Analsysis of Hydrological Time Series Handouts, Presentations and Textbooks Presentations and Examples 15 Analysis of Hyrologic Time Series using Computer Parograms Handouts, Presentations and Textbooks Presentations and Examples 16/17 Final Exam Revision Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Statistical Methods in Water Resources, U.S. Geological Survey, Techniques of Water-Resources Investigations Book 4, Chapter A3, by D.R. Helsel and R.M. Hirsch (http://pubs.usgs.gov/twri/twri4a3/pdf/twri4a3-new.pdf)  Statistical Methods in Hydrology, by Leo B. Reard. ( http://water.usgs.gov/osw/bulletin17b/Corps_Beard_1962.pdf)   Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 3 40 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Have knowledge and understanding at advanced level providing required basis for original projects in the field of civil engineering based on qualifications gained at undergraduate level. 4 2 Gain required knowledge through scientific research in the field of engineering, evaluate, interpret and apply data. 5 3 Be aware of new and emerging applications,examine and learn where necessary. 4 4 Construct engineering problems, develop strategies to solve them, and apply innovative methods for solutions. 4 5 Design and implement analytical modeling and experimental research and solve complex situations encountered in this process 5 6 Develop new and / or original ideas and methods; develop innovative solutions for the system, part, and process design. 4 7 Have learning skills 5 8 Be aware of innovative developments in the field of civil engineering, and analyse and learn them when needed. 4 9 Transfer process and results of the projects in the field of civil engineering or on national and international platforms in written or oral form. 2 10 Have knowledge in current techniques and methods applied in civil engineering. 4 11 Use computer software as well as information and communication technologies at the level required in the field of civil engineering 5 12 Oversee social, scientific and ethical values in all professional platforms. 5 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 5 70 Assesment Related Works     Homeworks, Projects, Others 3 5 15     Mid-term Exams (Written, Oral, etc.) 1 6 6     Final Exam 1 8 8 Total Workload: 141 Total Workload / 25 (h): 5.64 ECTS Credit: 6