Information Package / Course Catalogue
Stochastic Hydrology
Course Code: ZTY521
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

To teach basic concepts of hydrological processes, methods used to determine persistence and the most widely used stochastic models in streamflow series.

Course Content

Hydrological stochastic processes and time series, autoregressive (AR) models, moving-average (MA) models, autoregressive moving-average (ARMA) models,

Name of Lecturer(s)
Learning Outcomes
1.Being able to comprehend the aim and structure of stochastic hydrology
2.Being able to generate synthetic series for hydrologic variables
3.Being able to use appropriate methods to determine persistence in stochastic processes
4.Being able to construct mathematical models appropriate to stochastic processes
5.To able to apply stocahstic processes in hydrology
Recommended or Required Reading
1.Bayazıt, M., (1981) Statistical Methods in Hydrology (Hidrolojide İstatistik Yöntemler). İTÜ İnşaat Fakültesi, İstanbul
2.Bayazıt, M. (1996) Probabilistic Methods in Civil Engineering (İnşaat Mühendisliğinde Olasılık Yöntemleri). İTÜ İnşaat Fakültesi, İstanbul
3.Chow, V.T. (1964) Handbook of Applied Hydrology, Mc Graw-Hill.
Weekly Detailed Course Contents
Week 1 - Theoretical
Stochastic processes and time series
Week 2 - Theoretical
General characteristics of hydrological series
Week 3 - Theoretical
Statistical techniques and principles in modelling time series
Week 4 - Theoretical
Estimation of periodic parameters
Week 5 - Theoretical
Autoregressive (AR) modelling of annual time series
Week 6 - Theoretical
Autoregressive (AR) modelling of periodic time series
Week 7 - Theoretical
Practical applications of Autoregressive (AR) models
Week 8 - Theoretical
Moving-average (MA) models, Mid Term Exam
Week 9 - Theoretical
Practical applications of moving-average (MA) models
Week 10 - Theoretical
Autoregressive moving-average (ARMA) modelling-1
Week 11 - Theoretical
Autoregressive moving-average (ARMA) modelling-2
Week 12 - Theoretical
ARMA modelling of periodic time series
Week 13 - Theoretical
Generating annual synthetic series-1
Week 14 - Theoretical
Generating annual synthetic series-2
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment1%5
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Assignment117017
Midterm Examination129231
Final Examination130232
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
OÇ-1
5
4
4
3
3
4
2
2
OÇ-2
5
4
4
2
3
4
1
1
OÇ-3
5
4
4
2
3
3
1
1
OÇ-4
5
4
4
2
3
3
1
1
OÇ-5
4
5
3
2
3
4
5
2
Adnan Menderes University - Information Package / Course Catalogue
2026