• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Learning outcomes

Upon successful completion of this course, students will be able to:

1. Visulating and analyzing existing databases in GIS environment,

   Contribution to Program Outcomes

   1. To know the application domain of Earth-Marine Science
   2. To understand the interdisciplinary structure of Earth-Marine Science and to associate it with other disciplines
   3. To be able to interpret the produced data in terms of complex processes occurring in nature by processing with different software
   4. To be aware of and follow the rapid technological and scientific change in the field of Earth and Marine science

   Method of assessment

   1. Homework assignment
   2. Term paper
2. Creating a database of different medias (topography, geology, plant, soil, etc.),

   Contribution to Program Outcomes

   1. To know the application domain of Earth-Marine Science
   2. To understand the interdisciplinary structure of Earth-Marine Science and to associate it with other disciplines
   3. To be able to interpret the produced data in terms of complex processes occurring in nature by processing with different software
   4. To be aware of and follow the rapid technological and scientific change in the field of Earth and Marine science
   5. Adopting an open approach to continuous learning and following up-to-date and reliable sources of information

   Method of assessment

   1. Written exam
   2. Homework assignment
   3. Term paper
3. Calculating TIN, slope, aspect, shading, visibility, area and volume from surface analysis,

   Contribution to Program Outcomes

   1. To know the application domain of Earth-Marine Science
   2. To understand the interdisciplinary structure of Earth-Marine Science and to associate it with other disciplines
   3. To be able to design and conduct experimental studies in the field of Earth Science and/or Marine Science that he/she specializes in and to be able to interpret the relevant physical, chemical, biological occurring in nature
   4. To be able to interpret the produced data in terms of complex processes occurring in nature by processing with different software

   Method of assessment

   1. Written exam
   2. Homework assignment
   3. Term paper
4. Define the most suitable location from spatial analysis, applying interpolation, raster analysis.

   Contribution to Program Outcomes

   1. Mastering Basic Earth / Marine Science Concepts by Specialization
   2. To know the application domain of Earth-Marine Science
   3. To understand the interdisciplinary structure of Earth-Marine Science and to associate it with other disciplines
   4. To be able to interpret the produced data in terms of complex processes occurring in nature by processing with different software

   Method of assessment

   1. Written exam
   2. Homework assignment
   3. Term paper

Contents
Week 1:	Data Models - Vector and Raster data
Week 2:	Spatial analysis-1 (Selection, Classification, Proximity and Buffer field functions) and Earth Science application
Week 3:	Spatial analysis-2 -Overlap analysis and Earth Science application
Week 4:	Spatial analysis-3 Network analysis and Earth Science application
Week 5:	Interpolation techniques (Kriging, IDW)
Week 6:	Spatial analysis in GIS
Week 7:	Examination of data quality in GIS
Week 8:	Mid Term Exam – Open Data sources
Week 9:	Natural resource management with GIS
Week 10:	Environmental pollution data management
Week 11:	Creating environmental risk maps
Week 12:	Land use / land cover change analysis
Week 13:	Application Examples- Project Presentations
Week 14:	Application Examples- Project Presentations
Week 15*:	.
Week 16*:	Final exam
Textbooks and materials:	De BY, R.A., 2004, Principles of Geographic Information Systems, ITC Educational Textbook Series, International Institute for Geo-Information Science and Earth Observation (ITC), Enschede, The Netherlands. ESRI, 2004, ArcGIS 9: Using ArcGIS Desktop, USA. ESRI, 2004, ArcGIS 9: Using ArcGIS 3D Analyst, USA. ESRI, 2004, ArcGIS 9: Using ArcGIS Spatial Analyst, USA.
Recommended readings:	Innovations in GIS, Representing, Modeling, and Visualizing the Natural Environment, Edited by Nick Mount, Gemma Harvey, Paul Aplin, Gary Priestnall, CRC Press.
	* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

Assessment
Method of assessment	Week number	Weight (%)
Mid-terms:	8	20
Other in-term studies:		0
Project:	14	20
Homework:	5,10	20
Quiz:		0
Final exam:	16	40
	Total weight:	(%)

Workload
Activity	Duration (Hours per week)	Total number of weeks	Total hours in term
Courses (Face-to-face teaching):	3	14
Own studies outside class:	4	14
Practice, Recitation:	0	0
Homework:	3	4
Term project:	4	4
Term project presentation:	3	2
Quiz:	0	0
Own study for mid-term exam:	3	8
Mid-term:	2	1
Personal studies for final exam:	3	10
Final exam:	2	1
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)