Hydrologic Analysis and Statistical Methods

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Course Title

HYDROLOGIC ANALYSIS AND

STATISTICAL METHODS

Department

COURSE INFORMATON

Code

İNŞ582

Civil Engineering Program

Year Semester

Fall/Spring

T+P+L

(Hour/Week)

Credits ECTS

3+0+0 3 8

Course Level

Language of Instruction

Second Cycle, Third Cycle (M. Sc., Ph. D.)

Turkish

Course Type

Mode of Delivery

Elective

Face-To-Face

None Prerequisites and co-requisites

Recommended Optional

Programme Components

Name of Lecturer

Co-Lecturer

Work Placement

Teaching Methods

Objectives of the Course

Learning Outcomes

Course Content

None

Assoc. Prof. Dr. Osman YILDIZ

None

None

Lecturing. Problem solving. Computer applications.

To teach applications of probability nad statistical methods in hydrology.

To learn about applications of probability nad statistical methods in hydrology.

Probability and statictical methods. Importance of statistical methods and probability theory in hydrology. Parameter estimation of probability distributions. Probability distributions of discrete and continuous variables. Flood and drought frequency analysis. Project period and risk analysis. Sampling distributions. Statistical hypothesis.

Correlation and regression. Hydrologic processes. Time series analysis. Synthetic series generation. Regional analysis.

COURSE CONTENT (SYLLABUS)

Week Topics

1 Probability and statictical methods.

2 Importance of statistical methods and probability theory in hydrology.

3 Parameter estimation of probability distributions.

4 Probability distributions of discrete and continuous variables.

5 Flood and drought frequency analysis.

6 Project period and risk analysis.

Study Materials

1

7 MİDTERM EXAM

8 Sampling distributins.

9

Statistical hypothesis.

10

Correlation and regression.

11

Hydrologic processes.

12

Time series analysis.

13

Synthetic series generation.

14

Regional analysis.

RECOMMENDED SOURCES

Textbook

Additional Resources

Mühendisler İçin İstatistik, Bayazıt, M., Birsen Yayınevi.

Hydrology For Engineers, Linsley, R.K.

, McGraw-Hill ,1982.

Engineering hydrology,Usul, N., Metu Press , 2005.

Hidroloji, Bayazıt, M. İTÜ Yayınları, 1991.

Statistical Methods In Hydrology, Haan, C.T., Iowa State Press, 2002.

MATERIAL SHARING

Documents

Assignments

Exams

8 homeworks.

Midterm, Final.

ASSESSMENT

EXAMS

Contribution of Midterm Examination to Overall Grade

Contribution of Final Examination to Overall Grade

TOTAL

QUANTITY

1

1

2

PERCENTAGE

30

70

100

COURSE'S CONTRIBUTION TO PROGRAMME

1

2

3

Contribution

Nr. Programme Learning Outcomes

1 2 3 4 5

To gain the ability to apply knowledge of mathematics, science, and engineering to civil engineering problems.

To be able to identify, model and solve civil engineering problems in consideration with safety, economy, aesthetics and environmental factors.

To get familiar with modern techniques and computation methods in civil engineering.

X

X

X

4

To learn measurement and evaluation methods and techniques in civil engineering.

X

2

5

To gain the responsibility for work and labor safety in all civil engineering applications.

10

To take initiative and responsibility, to work independently, and to innovate.

6

To be able to identify, analyze, and synthesize civil engineering problems and applications.

X

7

To have enough knowledge about construction materials.

X

8

To be able to conduct laboratory and site experiments, to evaluate, and to interpret experimental data. X

9

To be able to work together with other people, to adapt teamwork.

X

11

To gain the ability for effective written and oral communication in Turkish and English.

12

To recognize the need for, and to gain the ability to engage in life-long learning.

X

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities

Course Duration (Including the exam week: 16x Total course hours)

Hours for off-the-classroom study (Pre-study, practice)

Quantity

16

16

Duration

(Hour)

3

3

Assignments

Presentation / Preparing Seminar

Mid-term

Final examination

8

4

1

1

6

12

24

24

Total Work Load

Total Work Load / 30 (h)

ECTS Credit of the Course

Total Workload

(Hour)

48

48

48

48

24

24

240

8

8

3

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