İM0015 Statistical Methods in Hydrology

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code İM0015
Name Statistical Methods in Hydrology
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

To teach the Fundamentals of Probability and Statistics, Gaining basic knowledge and skills about the use of Statistical Methods in Hydrology

Course Content

Introduction, Frequency Analysis, Probability, Probability Distributions, Sampling Distributions, Hypothesis Tests, Regression Analysis, Flood Frequency Analysis, Hydrological Time Series Analysis

Course Precondition

None

Resources

Lecture Notes and Presentations

Notes

Hidrolojide İstatistik Yöntemler - Mehmetçik Bayazıt


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns the definition, importance, basic concepts and applications of statistics in hydrology.
LO02 Learn Probability Distributions and applications.
LO03 Learn Extreme Value Distributions and Engineering Applications.
LO04 Learns the Flood Frequency Distribution applications.
LO05 Learns hydrological time series analysis.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal 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. 1
PLO02 Bilgi - Kuramsal, Olgusal Gain required knowledge through scientific research in the field of engineering, evaluate, interpret and apply data. 3
PLO03 Yetkinlikler - Öğrenme Yetkinliği Be aware of new and emerging applications,examine and learn where necessary.
PLO04 Yetkinlikler - Öğrenme Yetkinliği Construct engineering problems, develop strategies to solve them, and apply innovative methods for solutions. 4
PLO05 Yetkinlikler - Öğrenme Yetkinliği Design and implement analytical modeling and experimental research and solve complex situations encountered in this process.
PLO06 Yetkinlikler - Öğrenme Yetkinliği Develop new and / or original ideas and methods; develop innovative solutions for the system, part, and process design.
PLO07 Beceriler - Bilişsel, Uygulamalı Have learning skills. 2
PLO08 Beceriler - Bilişsel, Uygulamalı Be aware of innovative developments in the field of civil engineering, and analyse and learn them when needed.
PLO09 Beceriler - Bilişsel, Uygulamalı ransfer process and results of the projects in the field of civil engineering or on national and international platforms in written or oral form.
PLO10 Beceriler - Bilişsel, Uygulamalı Have knowledge in current techniques and methods applied in civil engineering. 4
PLO11 Beceriler - Bilişsel, Uygulamalı Use computer software as well as information and communication technologies at the level required in the field of civil engineering. 5
PLO12 Bilgi - Kuramsal, Olgusal Oversee social, scientific and ethical values in all professional platforms.


Week Plan

Week Topic Preparation Methods
1 Introduction: Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Basic Concepts and definitions Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Probability and Distribıtions Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Parameter Estimation Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Important Probability Dsitributions Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Extreme Value Distributions Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Extreme Value Distribution and applications Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
8 Mid-Term Exam None Ölçme Yöntemleri:
Yazılı Sınav
9 Sampling Distribution Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Statistical Hypotesis Testing Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Regression Analysis Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Variance Analysis Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Time Series Analysis Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
14 Flood Frequency Analysis Applications Repeat the previous lesson Öğretim Yöntemleri:
Alıştırma ve Uygulama
15 Time Series Applications Repeat the previous lesson Öğretim Yöntemleri:
Alıştırma ve Uygulama
16 Term Exams (Homework) None Ölçme Yöntemleri:
Ödev
17 Term Exams None Ölçme Yöntemleri:
Proje / Tasarım


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 5 10 50
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 15 15
Total Workload (Hour) 150
Total Workload / 25 (h) 6,00
ECTS 6 ECTS

Update Time: 03.10.2024 07:52