ARC3967 Urban Design TheoryBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ARC3967 Urban Design Theory Spring
2 0 2 4
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi NESLİHAN AYDIN YÖNET
Course Lecturer(s): Dr. Öğr. Üyesi NESLİHAN AYDIN YÖNET
Recommended Optional Program Components: .
Course Objectives: The main objective of this course is to define contemporary urban design theory in an interdisciplinary framework that includes architecture, planning, and landscape design

Learning Outcomes

The students who have succeeded in this course;

- Understanding of the diverse needs, values, behavioral norms, physical abilities, and social and spatial patterns that characterize different cultures and individuals. At the same time understanding the roles and responsibilities of urban designers and architects in it.
- Understanding of the relationship between human behaviour, the natural environment, and the design of the built environment.
- Ability to examine and comprehend the fundamental principles present in relevant precedents and to make choices regarding the incorporation of such principles into architecture and urban design projects.

Course Content


Urban Design Theory provides students with an introduction to theories, concepts, methods, and contemporary issues in urban design. Contemporary urban design is the process of collaboration between the architecture, planning, and landscape architecture professions. This collaboration is discussed by the important approaches and the selected examples.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction .
2) What is Urban Design?
3) Urban Evolution
4) Planning Movements
5) Urban Form, Urban Patterns, and Urban Morphology
6) Public Space
7) Sustainability
8) Pandemic and City
9) Midterm
10) Student Presentations and Discussion
11) Student Presentations and Discussion
12) Student Presentations and Discussion
13) Poster Critics of the Final Submission
14) Evaluation / Final Discussion

Sources

Course Notes / Textbooks: .
References: • Lynch, K. (1960), The Image of The City, The MIT Press, Massachusetts, USA.
• Alexander, C., Ishikawa, S., Silverstein, M., with Jacobson, M., Fiksdahl - King, I., Angel, S. (1977), A Pattern Language: Towns, Buildings, Construction.
• Lynch, K. (1981), Good City Form, The MIT Press, Massachusetts, USA.
• Broadbent, G. (1990) Emerging Concepts in Urban Space Design.
• Jacobs, J. (1993), The Death and Life of Great American Cities.
• Jacobs, A. B. (1996), Great Streets.
• Blakely, E. J., Snyder, M. G. (1997), Fortress America: Gated Communities in the United States.
• Lang, J. (2005), Urban Design: A typology of Procedures and Products. Illustrated with over 50 Case Studies.
• Gehl, J., Cities for People, Island Press, 2010.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 10
Presentation 1 % 25
Midterms 1 % 25
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 13 2 26
Study Hours Out of Class 12 6 72
Presentations / Seminar 2 2 4
Midterms 1 2 2
Final 1 2 2
Total Workload 106

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.