Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
PLN 1254	STATISTICS IN PLANNING	COMPULSORY	2	0	0	2

Offered By

City and Regional Planning

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR EBRU ÇUBUKÇU

Offered to

City and Regional Planning

Course Objective

This course describes the basic concepts of statistics. First the statistical analyses will be described. For each analysis at least one example related to city planning will be solved. Upon completion of the course students would be able to understand how to collect and analyse necessary data for various planning problems. Collecting real data is out of the scope of this course, examples will be given on hypothetical data.

Learning Outcomes of the Course Unit

1	Students would be able to identify basic concepts related to statistics in general and descriptive statistics in particular
2	Students would be able to understand applied value of various statistical analyses techniques for planning
3	Students would be able to understand which statistical analysis is necessary to solve/ understand planning problems
4	Students would be able to interpret the findings of statistical analyses in planning
5	Students would be able to develop methodology on how to collect data to solve urban problems in practice

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 and qualitative data)
2	Descriptive Statistics (graphics; eg. bar graph, stem and leaf, histogram)
3	Descriptive Statistics (graphics; eg. bar graph, stem and leaf, histogram)
4	Descriptive Statistics (evaluation of graphics; shape, mid point, distrubition)
5	Descriptive Statistics (evaluation of graphics; shape, mid point, distribution)
6	Descriptive Statistics (quantitative evaluation; mean, median, mode, standard deviation, interquartile range)
7	Descriptive Statistics (Computer application)
8	Mid Term
9	Correlation
10	Normal Distribution
11	Compare means (t-test)
12	Compare means (t-test)
13	Non Parametrical Test (ChiSquare)
14	Regression Analyses

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, theoretical presentations and solved examples.

Assessment Methods

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

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ebru.cubukcu@deu.edu.tr

Office Hours

Wednesday 09:30 12:00

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	14	2	28
Preparations before/after weekly lectures	14	1	14
Final	1	2	2
Midterm	1	2	2
TOTAL WORKLOAD (hours)			46

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.2	PO.4	PO.5	PO.17
LO.1	1	1
LO.2	1	1
LO.3	1	1
LO.4			1		1
LO.5				1

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION