COURSE UNIT TITLE

: APPLIED STATISTICS FOR PLANNERS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PLN 5051 APPLIED STATISTICS FOR PLANNERS ELECTIVE 2 2 0 6

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR EBRU ÇUBUKÇU

Offered to

M.Sc. City and Regional Planning
City and Regional Planning (Non-Thesis)
City and Regional Planning
City and Regional Planning

Course Objective

This course describes the basic concepts of statistics and how to analyse a collected data to explain a hypothesis via various statistical analyses. Computer applications will be thought via related software such as SPSS and SYSTAT.

Learning Outcomes of the Course Unit

1   Performs descriptive statistical analyses
2   Performs inferential statistical analyses

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic concepts (population, sample, variable, quantitative data, qualitative data, sample size selection)
2 Graphical description of data (bar graph, stem and leaf graph, histogram, box plot etc.)
3 Numerical description of data (mean, median, mode, standard deviation, quartiles)
4 Normal Curve
5 Non-Parametric Test (Chi-Square test)
6 Relation between variables (scatter plot, correlation)
7 Compare means (t-test, F test)
8 Regression (linear regression)
9 Computer applications with a given data set Handing in homework assignments.
10 Final Project / hypothesis definition
11 Data collection / data analyses
12 Data collection / data analyses
13 Report
14 Report

Recomended or Required Reading

Moore, D. S. & McCabe G. P. (1996). Introduction to the practice of statistics. W. H. Freeman and Company, NewYork.
Ramsey, F. L. & Schafer D. W. (1997). The Statistical Sleuth A course in methods of Data Analysis. Wadsworth Publishing Company.
Spiegel, M. R. DiFranco, D. (1998) Statistics. The McGraw-Hill Companies, Inc. and MathSoft Inc.
Minium, E. W. & Clarke R. B. (1982) Elements of Statistical Reasoning. John Wiley Sons Inc.
Huff, D. (1993) How to lie with Statistics. W.W. Norton & Company Inc. NewYork.

Planned Learning Activities and Teaching Methods

Lectures
Problem solving

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 PRS PRESENTATION
3 FCG FINAL COURSE GRADE ASG * 0.50 + PRS * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Homework
Report

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ebru.cubukcu@deu.edu.tr

Office Hours

Monday 5-8th course hours

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 4 56
Preparing assignments 2 45 90
TOTAL WORKLOAD (hours) 146

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17
LO.11
LO.21

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

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