COURSE UNIT TITLE

: SPATIAL TEMPORAL DATA MODELLING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 6010 SPATIAL TEMPORAL DATA MODELLING ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

GEOGRAPHICAL INFORMATION SYSTEMS - NON THESIS (EVENING PROGRAM)
GEOGRAPHICAL INFORMATION SYSTEMS
GEOGRAPHIC INFORMATION SYSTEMS
Geographical Information Systems (Non-Thesis)

Course Objective

In this course, it will be explained a comprehensive survey covering aspects from fundamental user requirements for spatiotemporal applications, spatiotemporal object
modeling, object storage structures and techniques for manipulation of spatiotemporal objects such as multidimensional indexing, data structures, query evaluation strategies and
architectures for Spatiotemporal Database Management Systems (TDBMS).

Learning Outcomes of the Course Unit

1   The students should have the ability to design appropriate spatio-temporal database structures for GIS analysis
2   Usages of Models for Spatio-temporal Applications
3   Manipulate data within and between internal and external databases

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Ontology for Spatio-temporal Databases
3 Model of Information Systems
4 Conceptual Models for Spatio-temporal Applications
5 Spatio-temporal Unified Modeling Language
6 Spatio-Temporal Models and Languages
7 Data Structures for Moving Objects Databases
8 Representing Spatio-temporal Information Using Constraints
9 Mid-term Examination
10 Access Methods and Query Processing Techniques
11 Data Structures and Algorithms For The Discrete Models
12 Composing Interactive Spatio-temporal Documents
13 Interactive Presentations and Spatio-temporal Databases
14 Modeling of Spatio-temporal Behaviour

Recomended or Required Reading

1. O Sullivan and David J. Unwin Geographic Information Analysis Hoboken, NJ: Wiley 2003 (referred to as O&U)
2. Zeiler, Modeling our World: The ESRI Guide to Database Design ESRI: Redlands, CA (as used in GISC 6383 GIS Management and Implementation)

Planned Learning Activities and Teaching Methods

The course is taught in a lecture with application hours. All students are expected to attend lectures.
Presentations of the students take an important role in the lectures.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.40 + FIN * 0.30
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + MAKRASG * 0.40 + MAKRRST * 0.30


*** 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

English

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 14 3 42
Preparation for midterm exam 1 5 5
Preparation for final exam 1 10 10
Preparing assignments 5 10 50
Design Project 1 30 30
Midterm 1 5 5
Final 1 10 10
TOTAL WORKLOAD (hours) 194

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.153434334433
LO.234334443344
LO.344443334334

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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