COURSE UNIT TITLE

: MATHEMATICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PLN 1177 MATHEMATICS COMPULSORY 2 0 0 2

Offered By

City and Regional Planning

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE 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   Differentiate the basic mathematical concepts, classical quantitative planning,
3   Solve numerical examples pertaining to the subjects covered in the class,
4   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 Introduction to the Mathematic Lesson
2 Clusters
3 Clusters
4 Matrices
5 Matrices
6 Determinants
7 Determinants
8 Limit&Continuity
9 Midterm Exam
10 Derivatives
11 Derivatives
12 Integrals
13 Integrals
14 Final Examinations Week
15 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.The course will be continued with a live course-based face to face education model.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FINS FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.40 + FINS * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Mid-term and final exam.

Language of Instruction

Turkish

Course Policies and Rules

1.Plagiarism and all other means of cheating are strictly prohibited.
2.In order for the student to take the final exams of a course, participated in at least 70% of the theoretical lessons and the practices made in the classroom by the lecturers or staff must be.

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

Friday, 13.00-14.45

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparation before/after weekly lectures 0 0 0
Preparation for Mid-term Examination 1 10 10
Preparation for Final Examination 1 10 10
Final Examination 1 2 2
Mid-Term Examination 1 2 2
TOTAL WORKLOAD (hours) 50

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

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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