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

Learning outcomes

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

1. In environmental engineering and environmental management, learns the importance of geographical knowledge in the context of important GIS applications made up to now. At the end of the course, students will have basic knowledge about geographical data collection methods and tools and will acquire the necessary skills to use these tools in practice.

   Contribution to Program Outcomes

   1. Define and manipulate advanced concepts of Environmental Engineering in a specialized way
   2. Pick out and validate problems relevant to his/her field,
   3. Gain original, independent and critical thinking, and develop theoretical concepts and tools,
   4. Understand relevant research methodologies and techniques and their appropriate application within his/her research field,
   5. Acquire scientific knowledge
   6. Design and conduct research projects independently
   7. Work effectively in multi-disciplinary research teams
   8. Develop an awareness of continuous learning in relation with modern technology
   9. Find out new methods to improve his/her knowledge
   10. Support his/her ideas with various arguments and present them clearly to a range of audience, formally and informally through a variety of techniques

   Method of assessment

   1. Written exam
   2. Seminar/presentation
2. Have basic knowledge of GIS data analysis and visualization tools in environmental and water management and will gain basic skills in using these tools.

   Contribution to Program Outcomes

   1. Define and manipulate advanced concepts of Environmental Engineering in a specialized way
   2. Gain original, independent and critical thinking, and develop theoretical concepts and tools,
   3. Understand relevant research methodologies and techniques and their appropriate application within his/her research field,
   4. Formulate, construct and use methods and experiments at advanced level to solve environmental problems and interpret and synthesize their results
   5. Acquire scientific knowledge
   6. Design and conduct research projects independently
   7. Develop an awareness of continuous learning in relation with modern technology
   8. Find out new methods to improve his/her knowledge
   9. Support his/her ideas with various arguments and present them clearly to a range of audience, formally and informally through a variety of techniques

   Method of assessment

   1. Written exam
3. Waste management and watershed management will be implemented in the GIS platform to improve the basic skills for the use of GIS in environmental management.

   Contribution to Program Outcomes

   1. Define and manipulate advanced concepts of Environmental Engineering in a specialized way
   2. Pick out and validate problems relevant to his/her field,
   3. Gain original, independent and critical thinking, and develop theoretical concepts and tools,
   4. Understand relevant research methodologies and techniques and their appropriate application within his/her research field,
   5. Formulate, construct and use methods and experiments at advanced level to solve environmental problems and interpret and synthesize their results
   6. Demonstrate awareness for the social impacts of solutions to advanced problems
   7. Acquire scientific knowledge
   8. Design and conduct research projects independently
   9. Work effectively in multi-disciplinary research teams
   10. Develop an awareness of continuous learning in relation with modern technology
   11. Find out new methods to improve his/her knowledge
   12. Support his/her ideas with various arguments and present them clearly to a range of audience, formally and informally through a variety of techniques

   Method of assessment

   1. Written exam

Contents
Week 1:	Geographic Data, geographic information and mapping concept
Week 2:	Coordinate Systems and Datum
Week 3:	GIS Data Management – Data Collection Methods (Applied course)
Week 4:	GIS Data Management – Data Models (Applied course)
Week 5:	GIS Data Management – Data Processing and Spatial Analysis (Applied course)
Week 6:	GIS Data Management – Data Processing and Spatial Analysis (Applied course)
Week 7:	GIS Data Management – Data visualization (Applied course)
Week 8:	mid-term exam
Week 9:	Sample GIS application in the Environmental Management – Waste Management
Week 10:	Sample GIS application in the Environmental Management – Waste Management (Applied course)
Week 11:	Student Presentations
Week 12:	Sample GIS application in the Environmental Management – Watershed Management – Water Framework Directive (WFD)
Week 13:	Sample GIS application in the Environmental Management – Watershed Management – Water Framework Directive (WFD) (Applied course)
Week 14:	Sample GIS application in the Environmental Management – Data Modelling
Week 15*:	General review
Week 16*:	Final exam
Textbooks and materials:
Recommended readings:	Önerilen kaynaklar: 1. Tchobanoglous, G.,Theisen, H., Eliassen, R., Integrated Solid Waste Management, Engineering, Principels and Management Issues , Mc.Graw Hill, 1993. 2. LaGrega, M.D., Buckingham, P.L., Evans, J.C., "Hazardous Waste Management", Mc Graw-Hill, N.Y.,1994. 3. White, P., Franke, M., Hindle, P., Integrated Solid Waste Management: A lifecycle Inventory , London, Chapman & Hall,1995 4. Metcalf and Eddy, Wastewater engineering: treatment, disposal and reuse, McGraw Hill, 1991
	* 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	30
Other in-term studies:		0
Project:	11	10
Homework:	1-4-6-9-12	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:	3	14
Practice, Recitation:	0	0
Homework:	5	10
Term project:	8	3
Term project presentation:	3	1
Quiz:	0	0
Own study for mid-term exam:	10	1
Mid-term:	2	1
Personal studies for final exam:	10	1
Final exam:	2	1
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)