Course Information

Course Title	Code	Semester	L+U Hour	Credits	ECTS
PHYSİCAL GEOGRAPHY RESEARCH METHODS	UCOG373	5. Semester	2 + 0	2.0	4.0

Prerequisites

None

Language of Instruction	Turkish
Course Level	Bachelor's Degree
Course Type	Compulsory
Mode of delivery
Course Coordinator
Instructors	Serdar YEŞİLYURT
Assistants
Goals	Kantitatif geleneklerden, özel araştırma yöntemlerinin pratik uygulamasına katılmanıza yardımcı olmak.
Course Content	To assist you in engaging with the practical application of specific research methods, from quantitative traditions.
Learning Outcomes	1) Discuss the role of advanced statistical methods, programming, and modelling in geographical research and evaluate the key concepts and principles underpinning these methods 2) Identify a research problem and be able to apply knowledge and understanding of statistical, programming, and modelling theory in a practical context 3) Explain the significance of statistical, programming, and modelling methods in the generation of new knowledges 4) Discuss the significance of data type and scale and appreciate the range of techniques available for analysing big data

Week	Topics	Teaching and Learning Methods and Techniques	Study Materials
1. Week	Context of Geographical Research	Lecture	Presentation (Including Preparation Time)
2. Week	Investigating the Physical Environment	Lecture	Presentation (Including Preparation Time)
3. Week	Fieldwork Skills	Lecture	Presentation (Including Preparation Time)
4. Week	Investigating Weather and Climate	Lecture	Presentation (Including Preparation Time)
5. Week	Investigating Landforms and Landscapes	Lecture	Presentation (Including Preparation Time)
6. Week	Investigation of hydrography	Lecture	Presentation (Including Preparation Time)
7. Week	Investigating Landforms and Landscapes	Lecture	Presentation (Including Preparation Time)
8. Week	Investigating Ecology and Habitats	Lecture	Presentation (Including Preparation Time)
9. Week	Palaeoecological Methods	Lecture	Presentation (Including Preparation Time)
10. Week	Environmental Impact Assessment	Lecture	Presentation (Including Preparation Time)
11. Week	Using Quantitative Statistical Methods	Lecture	Presentation (Including Preparation Time)
12. Week	Using GIS	Lecture	Presentation (Including Preparation Time)
13. Week	Drawing Effective Maps and Diagrams	Lecture	Presentation (Including Preparation Time)
14. Week	Constructing a Research Report or Dissertation	Lecture	Presentation (Including Preparation Time)

Recommended Sources

Barnsley, M.J. 2007. Environmental modelling: a practical introduction. CRC Press, London.

Clifford, N., French, S. and Valentine, G., (2010) Key Methods in Geography, 2nd Edition. Sage

Harris, R. (2011) Statistics in Geography and Environmental Science. Prentice Hall.

Wheeler, D. Shaw, G. and Barr, S. (2004) Statistical Techniques in Geographical Analysis, 3rd Edition. David Fulton.

Event	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Total weeks*Hours per week)	14	2	28
Work Hour outside Classroom (Preparation, strengthening)	14	5	70
Homework	1	12	12
Midterm Exam	1	1	1
Time to prepare for Midterm Exam	1	4	4
Final Exam	1	1	1
Time to prepare for Final Exam	1	6	6
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course			30