COURSE UNIT TITLE

: GEOSPATIAL STATISTICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 5008 GEOSPATIAL STATISTICS ELECTIVE 2 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR OKAN FISTIKOĞLU

Offered to

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

Course Objective

The objective of the course is to introduce the probability concept, probability distributions of random discrete and continuous variables, parameter estimation, test of hypotheses, linear regression and correlation and multiple regression topics in the GIS analyses and RS applications. The statistical analyses of spatial data construct the main frame of the course.

Learning Outcomes of the Course Unit

1   To classify geospatial data.
2   To compare geosptial data.
3   To choose best geospatial data model for a specific map design.
4   To interpret the role of the geospatial statistics
5   To relate theoritical knowledge to geospatial maps.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Probability
2 Random Variables
3 Probability Distributions of Random Variables
4 Common Probability Distribution Functions
5 Parameter Estimation
6 Test of Hypothesis
7 Simple Linear Regression and Correlation
8 Mid-Term Examination I
9 Multiple Regression
10 Non-parametric Statistics
11 Geospatial Statistics I - II
12 Risk and Reliability
13 Mid-Term Examination II
14 Statistical Decision Theory

Recomended or Required Reading

Textbook(s): Probability and Statistics in Engineering and Management Science. Hines, W., W. (1990). John Wiley & Sons
Supplementary Book(s): Mühensiler Için Istatistik. Mehmetçik Beyazıt. ITÜ Yayınları, 2000.
Probability Concepts in Engineering Planning and Design. Alfredo H. S., Wilson, H. T. 1975. John Wiley & Sons
Probability, Statistics and Decision for Civil Engineers. Benjamin, J. R., Cornel, C. A. 1970. McGraw-Hill Book Comp.

Planned Learning Activities and Teaching Methods

Midterms, final exams.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE 1 MIDTERM EXAM 1
2 MTE 2 MIDTERM EXAM 2
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE 1 * 0.25 + MTE 2 * 0.25 + FCG * 0.5
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE 1 * 0.25 + MTE 2 * 0.25 + RST * 0.50


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

Further Notes About Assessment Methods

to be announced.

Assessment Criteria

to be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

okan.fistikoglu@deu.edu.tr, 0.232.3017026

Office Hours

to be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 28 1 28
Preparation for midterm exam 2 18 36
Preparation for final exam 1 36 36
Preparations before/after weekly lectures 14 4 56
Final 1 4 4
Midterm 1 4 4
TOTAL WORKLOAD (hours) 164

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.131222322243
LO.252353445454
LO.324541534433
LO.443134413315
LO.551152151233