Akademik Dersler - Tanıtım


Code - Course Title	UCS1004 - Statistics and Data Analysis
Course Type	Required Courses
Language of Instruction	Türkçe
Laboratory + Practice	2+1
ECTS	3.0
Course Instructor(s)	ÖĞRETİM GÖREVLİSİ DOKTOR GÖKBEN ADANA KARAAĞAÇ
Mode of Delivery	Face to Face
Prerequisites	There are no prerequisites or co-requisites for this course.
Courses Recomended	-
Required or Recommended Resources	- Presentations and notes prepared by the lecturer.
Recommended Reading List	- https://desktop.arcgis.com/en/arcmap/latest/tools/spatial-statistics-toolbox/an-overview-of-the-spatial-statistics-toolbox.htm- https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/an-overview-of-the-spatial-statistics-toolbox.htm
Assessment methods and criteria	1 Midterm Exam and 1 Final Exam
Work Placement	- The program includes compulsory internship training.- Within the scope of the course, graph creation applications are carried out using Excel, and spatial statistics analyses are performed using GIS software.
Sustainability Development Goals	Health and Quality of Life , Quality Education , Industry, Innovation and Infrastructure , Sustainable Cities and Communities , Climate Action

Weeks	Topics
Week - 1	Definition of statistics, places of use, data collection methods
Week - 2	Basic statistical concepts
Week - 3	Graphical representation of data, understanding and interpretation of graphs and tables
Week - 4	Simple linear regression and correlation
Week - 5	Introduction to Spatial Statistics
Week - 6	Spatial Centralized Measurement Statistics
Week - 7	Dot Pattern Analysis
Week - 8	Applications 1
Week - 9	Spatial Autocorrelation
Week - 10	Regional Measures of Spatial Autocorrelation
Week - 11	Applications 2
Week - 12	Local Measurements of Spatial Autocorrelation
Week - 13	Classical Regression Model and Spatial Alternatives
Week - 14	Applications 3

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	40
Final Exam	1	60
Toplam (%)		100