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Course Description |
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Course Name |
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Geographic Information System Project Design Practices |
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Course Code |
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UA-510 |
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Course Type |
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Optional |
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Level of Course |
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Second Cycle |
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Year of Study |
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1 |
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Course Semester |
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Spring (16 Weeks) |
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ECTS |
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6 |
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Name of Lecturer(s) |
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Asst.Prof.Dr. TOLGA ÇAN |
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Learning Outcomes of the Course |
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At the end of the course, the students create three-dimensional model of the geological structure in Geographic Information Systems environments. gain the necessary skills for the collection, storage, analysis and evaluation of Geoscience spatial data. produce GIS-based modeling projects for the configuration and solution of engineering problems
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Mode of Delivery |
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Face-to-Face |
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Prerequisites and Co-Prerequisites |
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None |
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Recommended Optional Programme Components |
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None |
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Aim(s) of Course |
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To gain the necessary skills and knowledge on Geographic Information System based project management and assessment |
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Course Contents |
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The content of the course includes the basic concepts and principles of Geographic Information Systems and the effective use of Geographic Information Systems technology and remote detection technologies in geological applications. |
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Language of Instruction |
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Turkish |
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Work Place |
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Faculty classromm |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Elements and functions of GIS |
review of the literature |
PRESENTATION |
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2 |
Principles of geographic information system-based project |
review of the literature |
PRESENTATION |
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3 |
The integration of data types, conversion, accuracy and precision of data. |
review of the literature |
PRESENTATION |
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4 |
Satellite images of the sensor systems, Systems of camera and scanner |
review of the literature |
PRESENTATION |
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5 |
Electromagnetic emission, electromagnetic spectrum and its properties, the factors that prevent remote sensing, characteristics and factors affecting the images. |
review of the literature |
PRESENTATION |
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6 |
Uncontrolled classification of remote sensing |
review of the literature |
PRESENTATION |
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7 |
Controlled classification of remote sensing. |
review of the literature |
PRESENTATION |
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8 |
midterm exam |
preparation for the exam |
WRITTEN |
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9 |
Acquisition of three-dimensional images and digital elevation model creation |
review of the literature |
PRESENTATION |
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10 |
Examples of the applications made through remote sensing techniques. |
review of the literature |
PRESENTATION |
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11 |
Examples of the applications made through remote sensing techniques. |
review of the literature |
PRESENTATION |
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12 |
Change detection on satellite images |
review of the literature |
PRESENTATION |
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13 |
Introduction to the Envi software program |
review of the literature |
PRESENTATION |
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14 |
application |
review of the literature |
application |
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15 |
application |
review of the literature |
application |
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16/17 |
Final |
preparation for the exam |
written of application |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
Cxampagna M., 2006 GIS for sustainable development, CRC Press
Unpublished Lecture Notes
Gretchen N. Peterson, 2009 GIS Cartography, CRC Press,Taylor & Francis Group
John P. Wilson and A. Stewart Fotheringham 2008, The Handbook of Geographic Information Science, 634p, Blackwell Publishing Ltd.
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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 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
60 |
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Homeworks/Projects/Others |
1 |
40 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
The students acquire knowledge on potential practical fields of use of remotely sensed data, and use their theoretical and practical knowledge for problem solution in the related professional disciplines. |
5 |
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2 |
The students identify, describe, formulate and solve problems in engineering, and for this purpose, they are able to select appropriate techniques and apply analytical methods and models. |
3 |
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3 |
The students generate information using remotely sensed data and GIS together with database management skills. |
5 |
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4 |
The students gain knowledge to use current data and methods for multi-disciplinary research. |
5 |
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5 |
The students gain technical competence and skills in using recent GIS and remote sensing software. |
5 |
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6 |
The students have basic information about data collection, management, and analysis through integrating GIS and remote sensing, and are able to solve engineering problems using modern tools and technologies. |
5 |
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7 |
The students develop an understanding of sustainable resource management and planning to meet human needs by taking ecological factors into consideration in light of the current research data. |
5 |
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8 |
The students acquire the necessary knowledge and skills to understand a system, a system component or process for planning purposes, using modern techniques and methods. |
5 |
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9 |
At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory. |
4 |
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10 |
The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. |
4 |
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11 |
The students gain knowledge on temporal, radiometrici, spatial and spectral characteristics of remotely sensed data, as well as optic and active remote sensing systems and their interpretation. |
5 |
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12 |
The students develop the necessary skills for selecting and using appropriate techniques and tools for engineering practices, using information technologies effectively, and collecting, analysing and interpreting data. |
5 |
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13 |
The students gain the necessary skills to access information, review the literature, use databases and other sources of information, as well as lifelong learning awareness and the skills to follow scientific and technological developments for personal improvement. |
4 |
| * 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 |
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Class Time (Exam weeks are excluded) |
14 |
5 |
70 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
4 |
56 |
| Assesment Related Works |
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Homeworks, Projects, Others |
1 |
5 |
5 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
5 |
5 |
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Final Exam |
1 |
5 |
5 |
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Total Workload: | 141 |
| Total Workload / 25 (h): | 5.64 |
| ECTS Credit: | 6 |
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