COURSE UNIT TITLE

: COMPUTER AIDED APPLIED MATHEMATICS IN PLANNING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PLN 3320 COMPUTER AIDED APPLIED MATHEMATICS IN PLANNING ELECTIVE 2 0 0 3

Offered By

City and Regional Planning

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR KEMAL MERT ÇUBUKÇU

Offered to

City and Regional Planning

Course Objective

The main objective of this course is to introduce the basic computer applications of mathematics that are required for quantitative planning techniques and mathematical planning models. All the subjects covered in the course will be explained through solved numerical examples and their relation to mathematics will be explained in detail. All the classes will include hands-on computer applications.

Learning Outcomes of the Course Unit

1   Recognize basic compuetr applications on mathematics,
2   Solve numerical exaples using computer applications,
3   Differentiate the basic mathemathical methods used in quantitative planning techniques and mathemathical models in planning,
4   Solve numerical examples of quantitative planning techniques and mathemathical models in planning using computer applications,
5   Apply mathemathical operators used in quantitative planning techniques and mathemathical models in planning using computer applications.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to MATLAB
2 Matrices in MATLAB
3 Exponentials in MATLAB
4 Logarithms in MATLAB
5 Solving Equations in MATLAB
6 Graphics in MATLAB
7 Mid-term Exam
8 Derivatives in MATLAB
9 Integrals in MATLAB
10 Image Processing in MATLAB
11 Image Operators in MATLAB
12 Applications of Mathemathical Plannşng Models in MATLAB
13 Applications of Mathemathical Plannşng Models in MATLAB
14 Applications of Mathemathical Plannşng Models in MATLAB
15 Final Examinations Week
16 Final Examinations Week

Recomended or Required Reading

Pratap, R. (2009) Getting Started with MATLAB: A Quick Introduction for Scientists and Engineers, Oxford University Press.
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.
Steward J. (1991) Calculus, Brooks/Cole Publishing Company, Pacific Grove, California.

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


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

Further Notes About Assessment Methods

None

Assessment Criteria

Mid-term and final exams.

Language of Instruction

Turkish

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

Wdnesdays, 09.30-12.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparation before/after weekly lectures 13 1 13
Preparation for Mid-term Examination 1 15 15
Preparation for Final Examination 1 15 15
Final Examination 1 2 2
Mid-Term Examination 1 2 2
TOTAL WORKLOAD (hours) 73

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.111
LO.211
LO.311
LO.411
LO.511