COURSE UNIT TITLE

: HYDROMETRIC DATA EVALUATION

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CIE 5113 HYDROMETRIC DATA EVALUATION ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR OKAN FISTIKOĞLU

Offered to

HYDRAULIC ENGINEERING AND WATER RESOURCES
HYDRAULIC ENGINEERING AND WATER RESOURCES
HYDRAULIC ENGINEERING AND WATER RESOURCES

Course Objective

Hydrometric data, such as precipitation, stream flow, lake levels, and various water quality variables, consists of hydrologic and meteorological observations recorded in time at sites spatially distributed over geographic regions. These data may contain systematic and/or random errors in addition to sampling variations. Therefore, the main objective of this lecture is to learn about traditional probabilistic models and statistical procedures which can account for uncertainty in estimation of design event magnitudes and models that are commonly used in water resources engineering.

Learning Outcomes of the Course Unit

1   To be able to collect, interpret, apply, and evaluate the data.
2   To be able to solve the problems by using appropriate research methods.
3   To be able to solve the problems by using appropriate research methods.
4   To be able to have a systematic way to export the current developments and his/her work to the groups in and out of the field as written, oral and visual communication effectively.
5   To be able to gain high-level skills in using research methods.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Characterıstic of Hydrologic Phenomena
2 Random Variables and Their Distributions
3 Various Probability Topics Applied to Hydrology
4 Parameters As Descriptors of Distributions
5 Methods of Parameter Estimation
6 Frequency Analysis of Hydrologic Data
7 (Cont.)
8 (Cont.)
9 Sampling Theory
10 Testing Hypotheses
11 Regression Analysis
12 (Cont.)
13 Information Transfer
14 Midterm Exam

Recomended or Required Reading

Yevjevich, V. M.: Probability and Statistics in Hydrology. WRP, Colorado, 1972.
Kite, G. W.: Frequency and Risk Analyses in Hydrology. WRP, Colorado, 1988.
Helsel, D. M.; Hirsch, R. M.: Statistical Methods in Water Resources. Elsevier, 1992.
Bayazıt. M.: Inşaat Mühendisliğinde Olasılık Yöntemleri. ITÜ Inşaat Fakültesi Matbaası, Sayı:1573, Istanbul, 1996.
Bayazıt, M.: Hidrolojik Modeller. ITÜ Inşaat Fakültesi Matbaası, Sayı:1602, Istanbul, 1998.
Bayazıt. M.; Önöz, B: Taşkın ve Kuraklık Hidrolojisi. Nobel Yayın Basım, Istanbul, 2008.

Planned Learning Activities and Teaching Methods

Lecture + Assignment + Translation + Presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.25 + ASG *0.25 +FIN *0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG *0.25 +RST *0.50


Further Notes About Assessment Methods

None

Assessment Criteria

LO1 and LO 2 : Mid Term and Final Exam
LO 3 and LO 4: Assignment and Presentation
LO 5: Final Exam and Presentation

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

turkay.baran@deu.edu.tr, 0.232.3017030

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 42 1 42
Tutorials 14 1 14
Preparations before/after weekly lectures 14 4 56
Preparation for midterm exam 1 12 12
Preparation for final exam 1 18 18
Preparing assignments 1 30 30
Preparing presentations 1 10 10
Final 1 3 3
Midterm 1 3 3
Quiz etc. 1 3 3
TOTAL WORKLOAD (hours) 191

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1553323
LO.2555552
LO.355532
LO.45452
LO.5555553555