COURSE UNIT TITLE

: APPLIED MATHEMATICS FOR PLANNERS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PLN 5093 APPLIED MATHEMATICS FOR PLANNERS ELECTIVE 2 2 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 KEMAL MERT ÇUBUKÇU

Offered to

M.Sc. Urban Conservation Planning (Non-Thesis)
Geographical Information Systems (Non-Thesis) (English)
GEOGRAPHICAL INFORMATION SYSTEMS (ENGLISH)
City and Regional Planning
GEOGRAPHIC INFORMATION SYSTEMS (ENGLISH)
M.Sc. Urban Conservation Planning
M.Sc. Urban Design
M.Sc. City and Regional Planning
Urban Design
GEOGRAPHICAL INFORMATION SYSTEMS - NON THESIS (EVENING PROGRAM) (ENGLISH)
City and Regional Planning
City and Regional Planning (Non-Thesis)

Course Objective

The main objective of this course is to introduce the basic concepts of mathematics that are required for quantitative planning techniques and mathematical planning models. The classical quantitative planning techniques and mathematical planning models are also covered in the course. All the subjects covered in the course will be explained through solved numerical examples and their relation to mathematics will be explained in detail.

Learning Outcomes of the Course Unit

1   Recognize basic mathematical concepts as well as the classical quantitative planning techniques and mathematical planning models
2   Differentiate the basic mathematical concepts, classical quantitative planning techniques and mathematical planning models techniques and mathematical planning models
3   Solve numerical examples pertaining to the subjects covered in the class
4   Use the basic quantitative planning techniques and mathematical planning models to solve urban planning problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Matrices
2 Equations and Graphics
3 Exponentials and Logarithms
4 Continuity, Derivatives and Integrals
5 1st Mid-term Exam
6 Linear Programming: Graphical Method Duality Theory
7 Linear Programming: Simplex Algorithm
8 Game Theory: Zero-sum-games Non-zero-sum games
9 Game Theory Prisoners' Dilemma Hotelling-Chamberlein Problem Cooperative Games
10 Decision Theory and Decision Tree
11 2nd Mid-term Exam
12 Economic-Base Model: Assumption Technique Location Quotient Minimum Requirements
13 Land-use Models: Hansen Model Single Constraint Location Model for Retail
14 Land-use Models: Lowry-Garin Model

Recomended or Required Reading

Çubukçu, K.M. (2008) Planlamada Klasik Sayısal Yöntemler, ODTU Yayınları.
Klosterman, R. E. (1990) Community Analysis and Planning Techniques. Rowman & Littlefield Publishers
Lee, C. (1973) Models in Planning: An Introduction to the Use of Quantitative Models in Planning, Pergamon Press
Dökmeci, V.(2005) Planlamada Sayısal Yöntemler, ITÜ Yayınevi
Steward, J. (1991) Calculus, Brooks/Cole Publishing Comapany
Wagner, H. M. (1975) Principles of Operations Research, Prentice-Hall
Wilson A. G. & Kirkby M. J. (1975) Mathematics for Geographers and Planners, Clarendon Pres, Oxford.
Dowling, E. T. (1993), Mathematical Methods for Business and Economics, McGraw-Hill Companies, Inc.
Berresford, G.C., Rockett, A.M. (2000) Applied Calculus, Houghton Mifflin Company, Boston, NewYork

Planned Learning Activities and Teaching Methods

Lectures, theoretical presentations and solved examples.

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 * 0.30 + MTE 2 * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE 1 * 0.30 + MTE 2 * 0.30 +RST * 0.40


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

Further Notes About Assessment Methods

None

Assessment Criteria

Two midterms and one final examination.

Language of Instruction

English

Course Policies and Rules

1. Attendance is required.
2. Plagiarism and all other means of cheating are strictly prohibited.

Contact Details for the Lecturer(s)

Dokuz Eylul University, Tinaztepe Campus
School of Architecture
Department of City and Regional Planning
Room #109
Buca/IZMIR 35160
TURKEY
mert.cubukcu@deu.edu.tr
http://kisi.deu.edu.tr/mert.cubukcu

Office Hours

Thursdays, 8:30-10:30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 4 48
Preparation before/after weekly lectures 12 7 84
Preparation for Mid-term Examination 2 12 24
Preparation for Final Examination 1 16 16
Mid-term Examination 2 3 6
Final Examination 1 3 3
TOTAL WORKLOAD (hours) 181

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.111
LO.211
LO.311
LO.41

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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