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  Course Description
Course Name : Geographic Information System Project Design

Course Code : UA-511

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Asst.Prof.Dr. TOLGA ÇAN

Learning Outcomes of the Course : At the end of the course, the students create models of remote sensing 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.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : To gain necessary skills and knowledge on Geographic Information System based project management and assessment.

Course Contents : 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.

Language of Instruction : Turkish

Work Place : Faculty classromm


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 History, databases and data structures of Geographic Information Systems, (GIS). Review of the literature presentation
2 Knowledge of maps, with specific reference to their importance, history, scale, and purpose. Also, map types according to their purpose and construction, digital maps, symbols and edge information. Review of the literature presentation
3 Map projections, geoid and ellipsoid models of the world, geodetic datum, criteria for map projection and datum selection, parameters related to projection systems, shape, pitch, distance and direction properties of projection systems. Review of the literature presentation
4 General information and terminology on the installation, operation, and use of GIS software. The rectification of maps and images in Geographic Information Systems Review of the literature presentation
5 Raster data base creation and re-classification Review of the literature presentation
6 Applications related to spatial analysis Review of the literature presentation
7 Geoprocessing applications Review of the literature presentation
8 midterm exam Preparation for the exam written
9 Overall assessment of the project results, report writing and presentation Review of the literature presentation
10 Overall assessment of the project results, report writing and presentation Review of the literature Sunum
11 Overall assessment of the project results, report writing and presentation Review of the literature application
12 Overall assessment of the project results, report writing and presentation Review of the literature application
13 Overall assessment of the project results, report writing and presentation Review of the literature application
14 Overall assessment of the project results, report writing and presentation Review of the literature application
15 Overall assessment of the project results, report writing and presentation Review of the literature application
16/17 Final Preparation for the exam written


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  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.
 Cxampagna M., 2006 GIS for sustainable development, CRC Press
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 1 40
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 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. 4
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. 4
3 The students generate information using remotely sensed data and GIS together with database management skills. 4
4 The students gain knowledge to use current data and methods for multi-disciplinary research. 4
5 The students gain technical competence and skills in using recent GIS and remote sensing software. 5
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
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
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
9 At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory. 3
10 The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. 4
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
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. 4
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).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 5 70
    Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
    Homeworks, Projects, Others 1 5 5
    Mid-term Exams (Written, Oral, etc.) 1 6 6
    Final Exam 1 6 6
Total Workload: 157
Total Workload / 25 (h): 6.28
ECTS Credit: 6