Course Information


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
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

Weekly Topics (Content)
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)

Sources Used in This Course
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.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4
PY150000
PY250000
PY350000
PY450000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

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