COURSE UNIT TITLE

: MATHEMATICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PLN 1165 MATHEMATICS COMPULSORY 2 0 0 3

Offered By

City and Regional Planning

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASISTANT PROFESSOR IREM AYHAN SELÇUK

Offered to

City and Regional Planning

Course Objective

Urban planners need numerical methods for bias of population, employment etc. for the future of settlement during their planning studies. The main objective of this course is to help urban planners improve their technical basis for using these kind of numerical methods.

Learning Outcomes of the Course Unit

1   Recognize basic mathematical concepts,
2   Comprehend basic theories of mathematics,
3   Differentiate the basic mathematical concepts, classical quantitative planning,
4   Solve numerical examples pertaining to the subjects covered in the class,
5   Apply the basic mathemathical rules required for quantitative planning techniques and mathematical planning models.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Matrices
2 Matrices
3 Determinants
4 Determinants
5 Equations and Graphics
6 Equations and Graphics
7 Exponentials
8 Mid Term Exam
9 Logarithms
10 Continuity
11 Derivatives
12 Derivatives
13 Integrals
14 Integrals
15 Final Examinations Week
16 Final Examinations Week

Recomended or Required Reading

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-HillCompanies, 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


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 on minimum %70.
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 #Z11
Buca/IZMIR 35160
TURKEY
irem.ayhan@deu.edu.tr
http://kisi.deu.edu.tr/irem.ayhan

Office Hours

Monday, 09.00-10.00

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