ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
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. |
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 |
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. |
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. |
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 |
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. |
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 |
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 |
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. |