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| Course Description |
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| Course Name |
: |
Water Resources Systems Planning |
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| Course Code |
: |
İM-556 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Spring (16 Weeks) |
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| ECTS |
: |
6 |
|
| Name of Lecturer(s) |
: |
Asst.Prof.Dr. HATİCE ÖZMEN ÇAĞATAY
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| Learning Outcomes of the Course |
: |
Knows optimization of water resources
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| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
To gain optimum benefit from water resources |
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| Course Contents |
: |
General knowledge about water resources
Determination of objectives, objective function
Benefit-cost analysis
Optimization |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Introduction to Planning |
None |
Give a lecture |
|
2 |
Required data for planning |
None |
Give a lecture |
|
3 |
Classification of water resources |
None |
Give a lecture |
|
4 |
Planning stages |
None |
Give a lecture |
|
5 |
System Analysis |
None |
Give a lecture |
|
6 |
Determination objectives, objective function |
None |
Give a lecture |
|
7 |
Benefit-cost analysis |
None |
Give a lecture |
|
8 |
Benefit-cost analysis |
None |
Give a lecture |
|
9 |
Mid-term exam |
None |
|
|
10 |
Application |
None |
Give a lecture |
|
11 |
Optimization
Production function, objective function |
None |
Give a lecture |
|
12 |
Optimization
Optimality conditions |
None |
Give a lecture |
|
13 |
Classification of optimization |
None |
Give a lecture |
|
14 |
Mathematical optimization methods |
None |
Give a lecture |
|
15 |
Linear optimization
Application |
None |
Give a lecture |
|
16/17 |
Final exam |
None |
Exam |
|
|
|
Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 System analysis techniques in water resources management, M.L. Kansal, 2005.
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| |
| Required Course Material(s) | |
|
|
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
40 |
|
Homeworks/Projects/Others |
3 |
60 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
|
Final Assessments
|
100 |
|
Rate of Final Assessments to Success
|
60 |
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Total |
100 |
|
|
| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
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. |
4 |
|
2 |
Gain required knowledge through scientific research in the field of engineering, evaluate, interpret and apply data. |
4 |
|
3 |
Be aware of new and emerging applications,examine and learn where necessary. |
3 |
|
4 |
Construct engineering problems, develop strategies to solve them, and apply innovative methods for solutions. |
5 |
|
5 |
Design and implement analytical modeling and experimental research and solve complex situations encountered in this process |
3 |
|
6 |
Develop new and / or original ideas and methods; develop innovative solutions for the system, part, and process design. |
4 |
|
7 |
Have learning skills |
3 |
|
8 |
Be aware of innovative developments in the field of civil engineering, and analyse and learn them when needed. |
3 |
|
9 |
Transfer process and results of the projects in the field of civil engineering or on national and international platforms in written or oral form. |
0 |
|
10 |
Have knowledge in current techniques and methods applied in civil engineering. |
4 |
|
11 |
Use computer software as well as information and communication technologies at the level required in the field of civil engineering |
4 |
|
12 |
Oversee social, scientific and ethical values in all professional platforms. |
2 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
|
Class Time (Exam weeks are excluded) |
14 |
4 |
56 |
|
Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
3 |
8 |
24 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
8 |
8 |
|
Final Exam |
1 |
10 |
10 |
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Total Workload: | 140 |
| Total Workload / 25 (h): | 5.6 |
| ECTS Credit: | 6 |
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