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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YBS 4009 SPATIAL DATA ANALYSIS ELECTIVE 2 2 0 4

Offered By

Management Information Systems

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR VAHAP TECIM

Offered to

Management Information Systems

Course Objective

Giving competence to students data management and analysis collected and used as spatial-based.

Learning Outcomes of the Course Unit

1   Being able to use spatial data analysis methods, 2   Being able to spatial query methods, 3   Being able to evaluate methods,tools and technologies used in projects including spatial data with critical thinking.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction-What is Data Management and Analysis 2 Storing Spatial Data in Database Management Systems (Spatial Data Servers Tables where data is stored Methods for Storing Spatial Data) 3 Spatial Data Softwares (Arcsde Arc Spatial Database Engine) Spatial Data Query Language Operators(basic operator:IsEmpty,Envelope;topological operator:Disjoint,Contains and spatial analysis operator:Distance,Intersection and SymmDiff) 4 Presentation of Spatial Data (Object-Oriented Modelling Space-Based Modelling) and Spatial Data Geometry(Spaghetti model,Network model,Topological model) 5 Logical Models and Query Languages 6 Constraint Data Model (Linear Constraint Model,Object-Oriented Modelling) 7 Numeric Geometry(Spatial Data Management Algorithm) 8 Mid-Term 9 Mid-Term 10 Query and Analysis I (Spatial Combination,Complex Query,Artificial Intelligence) 11 Query and Analysis II (Spatial Point Distribution Analysis,Interpolation and Spatial Statistics) 12 Spatial Data Indices (R-tree,B-tree) 13 Spatial Data Indices (Grid) 14 Econometric Approach in Spatial Data Management

Recomended or Required Reading

Main Reference: Spatial Databases with Application to GIS (2002) Philippe Rigaux,Michel Scholl ve Anges Voisard,Elsevier,ISBN:978 1 55860 588 6 Subsidiary Reference: Spatial Database Systems Design,Implementation and Project Management (2007) Albert K.W.Yeung ve G.Brent Hall (Printed in:Springer),ISBN: 10 1 4020 5393 2 Applied Spatial Data Analysis with R (2008) Roger S.Bivand,Edzer J. Pebesma ve Virgilio Gomez-Rubio,ISBN:978 0 387 78170 9

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

Students will undergo two exams, one mid-term and one final.

Assessment Criteria

Students will undergo two exams, one mid-term and one final.

Language of Instruction

Turkish

Course Policies and Rules

The rules applied by the department is valid.

Contact Details for the Lecturer(s)

will be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 2 24 Case study 12 2 24 Preparations before/after weekly lectures 12 2 24 Preparation for midterm exam 1 10 10 Preparation for final exam 1 15 15 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 99

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 5 5 5 5 5 5 5 5 LO.2 5 5 5 5 5 5 5 5 LO.3 5 5 5 5 5