Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
CLIMATOLOGICAL DATA ASSESSMENT UCOG146 2. Semester 2 + 0 2.0 3.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Elective
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals Climatological Data Evaluation
Course Content Climatological data compilation and analysis of spatial-temporal
Learning Outcomes 1) Climatological data organizes depending on the purpose.
2) Organizes climatological data with graphs and interpret
3) Makes the spatial distribution of climatological data and comments.
4) Exposes the climate types in a local station and comments

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Observation and types of observation Lecture

Presentation (Including Preparation Time)
2. Week Climatological data compilation Lecture

Project (Including Preparation and presentation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
3. Week Climatological data tables Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
4. Week Analysis of continentality of precipitation and temperature Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
5. Week Analysis of the temperature regime Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
6. Week Analysis of precipitation regime Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
7. Week Wind direction and frequency analysis Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
8. Week correlation analysis of climatological data Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
9. Week Regression analysis of climatological data Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
10. Week Spatial analysis of temperature data Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
11. Week Spatial anaysis of precipitation data Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
12. Week De Martonne indices and climogram Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
13. Week Analysis of Erinç precipitation effeciency indice Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
14. Week Thorntwaite formula and the calculation of the water balance sheet Lecture

Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)

Sources Used in This Course
Recommended Sources
A.S. Fotheringham, C. Brunsdon, M. Charlton (2007) Qulitative Geography Perspectives on Spatial Data Analysis
L. O’Brien (1992)Introducing quantitative geography: measurement, methods, and generalised linear models
P. Rogerson (2001) Statistical Methods for Geography

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
. 14 2
Course Duration (Total weeks*Hours per week) 14 2
Work Hour outside Classroom (Preparation, strengthening) 12 2
Homework 6 1
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 4 1
Midterm Exam 1 2
Time to prepare for Midterm Exam 1 1
Final Exam 1 2
Time to prepare for Final Exam 1 2
1 2
1 2
6 1
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course