COURSE UNIT TITLE

: SPATIAL DATA MANAGEMENT

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 6003 SPATIAL DATA MANAGEMENT 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

PROFESSOR DOCTOR VAHAP TECIM

Offered to

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

Course Objective

It has been estimated that some 80% of the data used for environmental, business and policy oriented decision making is geographical in nature. These data require a structured approach to their management if the maximum benefit is to be derived from their analysis. This course aims to give you a solid introduction to the issues concerning the management of spatial information, taking the view that contemporary GIS is a specialised branch of mainstream IT.

Learning Outcomes of the Course Unit

1   The students should have the ability to Design appropriate database structures for GIS analysis
2   Appreciate International standards for spatial data description and interchange
3   Manipulate data within and between internal and external databases
4   Establish protocols for data management

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Managing Spatial Data
3 Data Model
4 Creating An Enabled Database
5 Insert Coordinates Using SQL
6 Uploading Flat File GIS Data
7 Using Spatial Operators
8 Creating Spatial Index
9 Mid-term Examination
10 Creating Maps with SQL Data Using UMN Map Server
11 Online Demonstration of a Web GIS Application
12 Managing Data Representation
13 Advanced Managing Spatial Data
14 Presentation of Students Term Projects

Recomended or Required Reading

Textbook: There is no text. Required readings are assigned from the literature. All readings are (or will be) available for download from the Lecturer s web site for this course.

Reference Book: - Shashi Shekhar and Sanjay Chawla: Spatial Databases A Tour. Prentice Hall, 2003

Planned Learning Activities and Teaching Methods

Fieldwork reports
Laboratory reports
Project report
Oral presentation
Written examination

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 MTE MIDTERM EXAM
3 PRJ PROJECT
4 FCG FINAL COURSE GRADE ASG * 0.30 + MTE * 0.40 + PRJ * 0.30


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

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.

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
Preparation for midterm exam 1 40 40
Preparations before/after weekly lectures 14 4,5 63
Preparing assignments 1 50 50
Midterm 1 3 3
TOTAL WORKLOAD (hours) 198

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.12434344343333
LO.24243343443223
LO.32442442434244
LO.42324424324342

CONTACT INFORMATION
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