|
| Course Description |
|
| Course Name |
: |
Pre-Statistical Analysis in Hydrology |
|
| Course Code |
: |
TS-545 |
|
| 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 |
: |
At the end of the lecture, student learns about basic hydrological concepts and separates components of hydrological cycle.
Students can acquire data accurately either by monitoring or testing and present the subject.
Students may also determine the cause and effect relationship.
Students may interprete a hydrological paper.
They may prepare data as graphics or tables, and also critisize the different solutions applying new methods.
|
|
| 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 |
: |
Determination of statistical suitability of hydrometerological data, Trend analysis, homogeneity analysis, Run test, k sample test, Correlation test, turning point test, stationary test of variance and mean, regional Mann-Kendall test, Application of all test in real hydrometerological data and its interpretation. |
|
| 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 |
Determination of statistical suitability of hydrometerological data |
Power point presentation |
Documents |
|
2 |
Trend analysis, homogeneity analysis, |
Power point presentation |
Documents |
|
3 |
Trend analysis, homogeneity analysis, |
Power point presentation |
Documents |
|
4 |
Trend analysis, homogeneity analysis, |
Power point presentation |
Documents |
|
5 |
Run test, k sample test |
Power point presentation |
Documents |
|
6 |
Run test, k sample test |
Power point presentation |
Documents |
|
7 |
Run test, k sample test |
Power point presentation |
Documents |
|
8 |
Run test, k sample test |
Power point presentation |
Documents |
|
9 |
Correlation test, turning point test, stationary test of variance and mean |
Power point presentation |
Documents |
|
10 |
Correlation test, turning point test, stationary test of variance and mean |
Power point presentation |
Documents |
|
11 |
Correlation test, turning point test, stationary test of variance and mean |
Power point presentation |
Documents |
|
12 |
1st exam |
|
|
|
13 |
Regional Mann-Kendall test |
Power point presentation |
Documents |
|
14 |
Application of all test in real hydrometerological data and its interpretation. |
Power point presentation |
Documents |
|
15 |
Application of all test in real hydrometerological data and its interpretation. |
Power point presentation |
Documents |
|
16/17 |
Final Exam |
|
|
|
|
|
Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Siegel, S., 1956. Nonparametric Statistics for the Behavioral Sciences, McGraw-Hill Kogakusha Ltd., Japan, 312p.
|
| |
| Required Course Material(s) |
Topaloğlu, F., “Regional Trend Detection of Turkish River Flows”, Nordic Hydrology, 37 (2), 165-182, 2006.
Topaloğlu, F., “Trend Detection of Streamflow Variables in Turkey”, Fresenius Environmental Bulletin, Vol. 15 (7), 644-653, 2006.
Topaloğlu, F., İrvem, A., Özfidaner, M. “Re-evaluation of Trends in Annual Streamflows of Turkish Rivers for the period 1968-2007”, Fresenius Environmental Bulletin, Vol. 21 (8), 2043-2050, 2012.
Topaloğlu, F., Özfidaner, M. “Regional Trends of Precipitation in Turkey”, Fresenius Environmental Bulletin, Vol. 21 (10), 2908-2915, 2012.
İrvem, A., Topaloğlu, F., Özfidaner, M. “Trends in Turkish Monthly Mean Streamflows”, Journal of Food, Agriculture and Environment, Vol. 10 (3&4), 900-904, 2012.
Topaloğlu, F., Özfidaner, M., Aydın, F. “Regional Trends in Turkish Pan Evaporation”, Journal of Food, Agriculture and Environment, Vol. 10 (3&4), 960-962, 2012.
Yücel, A., Topaloğlu, F., ve Tülücü, K., “Trend Detection of Rainfall Data for Adana”, TÜBİTAK Türk Tarım ve Ormancılık Dergisi, Cilt 23, Ek Sayı 1, Mart, 179-185, 1999.
Topaloğlu, F., Yücel, A., Tülücü, K., ve Çetin, M., “Usage of Instantaneous Maximum Flows in Flood Frequency Analysis”, TÜBİTAK Türk Tarım ve Ormancılık Dergisi, Cilt 23, Ek Sayı 1, Mart, 187-192, 1999.
Topaloğlu, F., “Trend Analysis of Turkish River Flows”, Çukurova Üniversitesi Bilimsel Araştırma Projeleri, ZF2005BAP15 Nolu Münferit Proje, 31s., Adana, 2006.
|
|
|
|
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 |
3 |
|
2 |
Has the ability to understand the interaction between irrigation and agricultural structures and related disciplines |
3 |
|
3 |
Qualified in devising projects in agricultural structures and irrigation systems. |
0 |
|
4 |
Conducts land applications,supervises them and assures of development |
0 |
|
5 |
Has the ability to apply theoretical and practical knowledge in the field of agricultural structures and irrigation department |
3 |
|
6 |
Has the ability to support his specilist knowledge with qualitative and quantitative data. Can work in different disciplines. |
4 |
|
7 |
Solves problems by establishing cause and effect relationship |
4 |
|
8 |
Able to carry out a study independently on a subject. |
4 |
|
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. |
4 |
|
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 |
|
|
|