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 EBRU ÇUBUKÇU

Offered to

M.Sc. City and Regional Planning
City and Regional Planning (Non-Thesis)
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   Understand how to analyse a collected data set to explain a hypothesis
2   Being able to criticize various statistical analyses methods for various data sets.
3   Being able to analyse a data set to test a set of hypotheses via use of statistical packages.

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 Non-Parametric Test (Chi-Square test)
5 Factor Analyses
6 Relation between variables (scatter plot, correlation)
7 Compare means (t-test, F test)
8 Regression (linear regression, regression for cross-sectional time series data)
9 Computer applications with a given data set
10 Computer applications with a given data set Handing in homework assignments.
11 Collect simple data
12 Analyse the collected data
13 Write up a research paper
14 Write up a research paper

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, discussions, computer lab.

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


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)

ebru.cubukcu@deu.edu.tr

Office Hours

Wednesdays 11:00- 12:00

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
LO.311

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

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