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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS VYA 5020 SPATIAL DATA ANALYSIS ELECTIVE 3 0 0 4

Offered By

DATA MANAGEMENT AND ANALYSIS

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÖZLEM KIREN GÜRLER

Offered to

DATA MANAGEMENT AND ANALYSIS

Course Objective

The main aim of this course to be able to apply traditional statistical methods in spatial dimensions such as lenght, area, proximity and orientation

Learning Outcomes of the Course Unit

1   To be able to understand differences between of visual analysis of spatial data and statistical analysis 2   The ability to sort data types 3   Statistical methods to analyze data 4   To be able to compare different methods of analysis, 5   To be able to find for solving the problem in any spatial data collection and analysis methods

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic definitions and data types 2 Spatial data analysis 3 Analysis of data points 4 Analysis of data points 5 Analysis of data points:Application 6 Continuous data and analysis 7 Continuous data and analysis 8 Applications 9 Article discussions 10 Continuous data and analysis:Application 11 Spatial data analysis 12 Spatial data analysis 13 Spatial data analysis:Application 14 Spatial Interaction Analysis

Recomended or Required Reading

Bailey, T. and Gatrell, T., Interactive Spatial Data Analysis, Prentice Hall, 1996

Planned Learning Activities and Teaching Methods

Discussing, Problem solving, Lecture Method, Question-Answer Method

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 10 2 20 Preparation for midterm exam 1 10 10 Preparation for final exam 1 10 10 Preparing assignments 5 3 15 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 103

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 LO.1 1 1 LO.2 1 1 LO.3 1 1 LO.4 LO.5 1 1 1 1 1 1