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| Course Description |
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| Course Name |
: |
Geographical Information Systems and Remote Sensing For Marine and Water Research |
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| Course Code |
: |
SUF416 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
First Cycle |
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| Year of Study |
: |
4 |
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| Course Semester |
: |
Spring (16 Weeks) |
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| ECTS |
: |
3 |
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| Name of Lecturer(s) |
: |
Assoc.Prof.Dr. TUNCAY KULELİ
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| Learning Outcomes of the Course |
: |
Definition of remote sensing technology.
Explanation of data extracting for using remote sensing technology.
Data interpretation from remote sensing.
Definition of geographical information systems.
Data collecting and analyzing by using GIS
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|
| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
FIELD OPTIONAL COURSES
25119 Oceans and Life
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
Explanation and definition of remote sensing and geographical information systems for marine and inland water researches. |
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| Course Contents |
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Introduction to remote sensing (RS), concepts of RS, sensor types, perseption types, RS platforms, RS image specifications, image interpretation. Introduction to geographical information systems (GIS), concepts of GIS, data acquiring methods, data visualisations and symbology, topology, query and raporting. |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Classroom, Informatics Lab. |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Introduction of GIS |
Reading related chapter |
Lecture |
|
2 |
Introduction of RS |
Reading related chapter |
Lecture |
|
3 |
Concepts of RS |
Reading related chapter |
Lecture |
|
4 |
Sensor types |
Reading related chapter |
Lecture |
|
5 |
RS types |
Reading related chapter |
Lecture |
|
6 |
RS platforms |
Reading related chapter |
Lecture |
|
7 |
Image specification |
Reading related chapter |
Lecture |
|
8 |
Image interpretation |
Reading related chapter |
Lecture |
|
9 |
Visa exam |
Reading related chapter |
Test |
|
10 |
Fundamentals of GIS |
Reading related chapter |
Lecture |
|
11 |
GIS technology |
Reading related chapter |
Lecture |
|
12 |
Data capture methods |
Reading related chapter |
Lecture |
|
13 |
Data visualisation |
Reading related chapter |
Lecture |
|
14 |
Topology |
Reading related chapter |
Lecture |
|
15 |
Query and reports |
Reading related chapter |
Lecture |
|
16/17 |
Final exam |
Reading related chapter |
Test |
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|
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Yomralıoğlu, T., (2000), “Coğrafi Bilgi Sistemleri: Temel Kavramlar ve Uygulamalar”, 2.Baskı (2002), 3.Baskı (2005), s.480, ISBN 975-97369-0-X, İstanbul. / DERS NOTLARI
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| |
| Required Course Material(s) |
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|
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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 |
60 |
|
Homeworks/Projects/Others |
1 |
40 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
|
Final Assessments
|
100 |
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Rate of Final Assessments to Success
|
60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Using the informatics and communicating technology |
4 |
|
2 |
Gaining competence to determine the current status of aquatic resources and its sustainable use, water pollution and control, and biotechnology areas. |
0 |
|
3 |
Ability to act in accordance with the regulation, social, scientific, cultural, and ethical values on fisheries field |
0 |
|
4 |
Having knowledge on “natural and applied sciences” and “basic engineering”; combination of their theoretical and practical knowledge on fisheries engineering applications. |
0 |
|
5 |
assessment of data scientifically on fisheries engineering, determining and solving the problems |
5 |
|
6 |
Uses theoretical and practical knowledge in the field of fisheries to design; investigates and interprets events and phenomena usig scientific methods and techniques. |
4 |
|
7 |
Collecting data in fisheries science, making the basic experimental studies, evaluating the results, identifying the problems and developing methods of solution |
5 |
|
8 |
Having plan any study related to fisheries science as an individually, managing and consulting |
0 |
|
9 |
Learning the knowledge by the determining learning needs; developing positive attitude towards lifelong learning |
0 |
|
10 |
Communicating oral and written in expertise field, monitoring the seminars and meeting in expertise field, following the foreign language publication |
0 |
|
11 |
Improving life-long learning attitude and using the information to the public interest. |
0 |
|
12 |
Having skills to apply modern techniques and computational tools necessary for engineering applications. |
0 |
|
13 |
Having ability to promote the study about aquaculture techniques by saving the natural environment, fishery diseases, fishing and processing technology, structure of fishery sector, problems and solution of their expertise field |
0 |
|
14 |
Having ability to promote the study about aquaculture techniques by saving the natural environment, fishery diseases, fishing and processing technology, structure of fishery sector, problems and solution of their expertise field |
0 |
|
15 |
Improves constantly itself , as well as professional development scientific, social, cultural and artistic fields according to his/her interests and abilities identifying needs of learning. |
0 |
| * 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 |
2 |
28 |
|
Out of Class Study (Preliminary Work, Practice) |
14 |
2 |
28 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
1 |
4 |
4 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
2 |
2 |
|
Final Exam |
1 |
4 |
4 |
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Total Workload: | 66 |
| Total Workload / 25 (h): | 2.64 |
| ECTS Credit: | 3 |
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