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  Course Description
Course Name : Risk Analysis of Water Resources Planning

Course Code : TS-529

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. FATİH TOPALOĞLU

Learning Outcomes of the Course : Students learn about the concept of planning and its steps
Students may define the management of integrated water resources planning, and produce alternative solutions.
Students may also determine the cause and effect relationship.
They can prepare and evaluate projects on water resources planning.
They may develope alternative projects. They may also integrate the methods learned to be able to make future projections.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : Acquisition, analysing and interpreting of hydrometeorological data.

Course Contents : Statistic, probability, time series analysis, risk and uncertainties, data progress, data prediction, Hydrological analysis in water constructions

Language of Instruction : Turkish

Work Place : 3C


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Statistic Power point presentations Documents
2 Probability Power point presentations Documents
3 Probability Power point presentations Documents
4 Probability Power point presentations Documents
5 Time Series Power point presentations Documents
6 Time Series Power point presentations Documents
7 Risk and uncertainties Power point presentations Documents
8 Risk and uncertainties Power point presentations Documents
9 Data progress Power point presentations Documents
10 Data progress Power point presentations Documents
11 Data prediction Power point presentations Documents
12 Data prediction Power point presentations Documents
13 1st exam
14 Hydrological analysis in water constructions Power point presentations Documents
15 Hydrological analysis in water constructions Power point presentations Documents
16/17 Final exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Sneyers, R. 1990. On the statistical analysis of series of observations. World Meteorological Organization. WMO-No: 415
 Tülücü, Kazım. 2012. Water Resources Planning. Ç.Ü. Ziraat Fak. Ders Kitapları No:53, 341s.
 Tülücü, Kazım. 2002. Applied Hydrology. Ç.Ü. Ziraat Fak. Ders Kitapları No:A-43, 315s.
Required Course Material(s)  Fujihara, Y., Simonovic, S.P., Topaloğlu, F., Tanaka, K., Watanabe, T., “An Inverse Modeling Approach to Assess the Impacts of Climate Change in Seyhan River Basin, Turkey”, Hydrological Sciences Journal, Vol. 53 (6), 1121-1136, 2008
 İrvem, A., Topaloğlu, F., “Identification of Flood Risk Area in the Orontes River Basin, Turkey, Using Multi-Criteria Decision Analyses”, Journal of Food, Agriculture and Environment, Vol. 10 (3&4), 895-899, 2012.
 Yücel, A., ve Topaloğlu, F., “Adana İli Uzun Yıllık (1929-1990) Günlük Minimum, Ortalama ve Maksimum Sıcaklık Verilerinin Zaman Serisi Analizi İle İncelenmesi”, TÜBİTAK Türk Tarım ve Ormancılık Dergisi, Cilt 23, Ek Sayı 4, Eylül, 863-868, 1999.
 Çetin, M., Topaloğlu, F., ve Tülücü, K., “Doğu Akdeniz Bölgesinde Aylık Alansal Yağışların Jeoistatistiksel Yöntemle Saptanması ve Stokastik Olarak Modellenmesi”, TÜBİTAK Türk Tarım ve Ormancılık Dergisi, Cilt 23, Ek Sayı 3, Temmuz, 691-698, 1999
 Topaloğlu, F., “Estimation Of Instantaneous Peak Flows In Seyhan River Basin Using Regional Regression Procedures”, Turkish Journal of Agriculture and Forestry, Vol. 26, Number 1, 47-55, 2002.
 Topaloğlu, F., “Determining Suitable Probability Distribution Models for Flow and Precipitation Series of the Seyhan River Basin”, Turkish Journal of Agriculture and Forestry, Vol. 26, Number 4, 187-194, 2002.
 Topaloğlu, F., “Regional Flood Frequency Analysis of the Basins of the East Mediterranean Region”, Turkish Journal of Agriculture and Forestry, Vol. 29, Number 4, 287-295, 2005.
 Topaloğlu, F., “Modeling Turkish Streamflows By Using Probability Distributions”, Fresenius Environmental Bulletin, Vol. 15 (5), 385-392, 2006.
 İrvem, A., Topaloğlu, F., and Uygur, V., “Estimating Spatial Distribution of Soil Loss over Seyhan River Basin in Turkey”, Journal of Hydrology, Vol. 336, 30-37, 2007.


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 50
    Homeworks/Projects/Others 6 50
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 Has the ability to develop and deepen the level of expertise degree qualifications based on the knowledge acquired in the field of agriculture and irrigation structures 2
2 Has the ability to understand the interaction between irrigation and agricultural structures and related disciplines 2
3 Qualified in devising projects in agricultural structures and irrigation systems. 5
4 Conducts land applications,supervises them and assures of development 3
5 Has the ability to apply theoretical and practical knowledge in the field of agricultural structures and irrigation department 0
6 Has the ability to support his specilist knowledge with qualitative and quantitative data. Can work in different disciplines. 0
7 Solves problems by establishing cause and effect relationship 0
8 Able to carry out a study independently on a subject. 0
9 Has the ability to design and apply analytical, modelling and experimental researches, to analyze and interpret complex issues occuring in these processes. 4
10 Can access resources on his speciality, makes good use of them and updates his knowledge constantly. 0
11 Has the ability to use computer software in agricultural structures and irrigation; can use informatics and communications technology at an advanced level. 0
* 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) 16 3 48
    Out of Class Study (Preliminary Work, Practice) 16 3 48
Assesment Related Works
    Homeworks, Projects, Others 6 6 36
    Mid-term Exams (Written, Oral, etc.) 1 15 15
    Final Exam 1 15 15
Total Workload: 162
Total Workload / 25 (h): 6.48
ECTS Credit: 6