COURSE UNIT TITLE

: GEOGRAPHICAL INFORMATION SYSTEMS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ERA 3701 GEOGRAPHICAL INFORMATION SYSTEMS ELECTIVE 3 0 0 5

Offered By

Management Information Systems

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR VAHAP TECIM

Offered to

Management Information Systems

Course Objective

The course aims to teach students to transfer spatial into database structures, design spatial database, query and management of spatial databases.

Learning Outcomes of the Course Unit

1   Understanding spatial data types of Spatial Information Systems.
2   Managing data in Spatial Information Systems.
3   Using spatial data analysis and query methods.
4   Modelling spatial data.
5   Evaluating methods, tools and technologies used in projects which contains spatial data critically.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction: Space and Spatial Data / The Concept of Information Infrastructure
2 What is Spatial Information System Metadata Use, Sharing and Management
3 Spatial Positioning: World Coordinate System, Three Dimensional Systems, Map Projections
4 Spatial Positioning: World Coordinate System, Three Dimensional Systems, Map Projections
5 Spatial Database Management System II (Data Normalization)
6 Presentation and Organization of Spatial Data
7 Integrated Analysis of Spatial and Attribute Data
8 Mid-Term
9 Mid-Term
10 Query of Spatial and Attribute Data
11 Visualization of Multi-Dimensional Digital spatial Data, Web Publishing, Sharing and Management
12 Semantic Internet Technologies, Semantic Interoperability, Ontology, Web Services, Web Mining, Decision-Making, Service based Architecture Concepts
13 Tracing of Spatial Data Standards, Adapting and Proposing New Standards
14 Tracing of Spatial Data Standards, Adapting and Proposing New Standards

Recomended or Required Reading

Main Textbook: Spatial Data Analysis Theory and Practice (2003) Robert Haining (Printed in: University of Cambridge), ISBN: 0 521 77437 3
Spatial Data Anaylsis An Introduction for GIS Users (2010) Chistopher D. Lyod (Printed in: Oxford University Press), ISBN: 978 0 19 955432 4
Help book: The Geospatial Web- How Geobrowsers, Social Software and the Web 2.0 are Shaping the Network Society (2007) Arno Scharl ve Klaus Tochtermann (Printed in: Spinger), ISBN: 978 1 84628 826 5

Planned Learning Activities and Teaching Methods

Activities are given in detail in the Assessment Methods and Total Workload sections.

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

Assessment criteria will be announced later.

Language of Instruction

English

Course Policies and Rules

The rules applied by the department are valid.

Contact Details for the Lecturer(s)

Contact details will be announced later.

Office Hours

Office hours will be announced later.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 12 3 36
Preparation for midterm exam 1 15 15
Preparation for final exam 1 25 25
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 114

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.155
LO.2555555
LO.355555
LO.455555
LO.55555555