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
GEP0201 City and Culture Fall 3 0 3 5
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: Tr
Type of course: GE-Elective
Course Level: Bachelor
Mode of Delivery: E-Learning
Course Coordinator : Dr. Öğr. Üyesi NESLİHAN AYDIN YÖNET
Course Lecturer(s): Dr. Öğr. Üyesi NESLİHAN AYDIN YÖNET
Course Objectives: The aim of the City and Culture course is to teach students to read, understand and analyze the city in its various dimensions. Within the scope of the course, first of all, the concepts of city and culture and the relationship between them will be explained.

Learning Outputs

The students who have succeeded in this course;
1. They will have a general knowledge of urban culture,
2. They will have information about the evolution of cities,
3. Will be able to compare the effects of different social and cultural groups in cities on urban space,
4. Will be able to discuss today's cities with many dimensions (social, political, historical, architectural, etc.).

Course Content

The historical background of the relationship between city and culture, the effect of globalization on the transformation and change of today's cities, the effort to create a brand city, the protection of cultural values, the concept of sustainability, the importance of public spaces (squares and streets), the spatial and social reflections of housing culture on cities will be evaluated. At the end of the semester, the student will be able to evaluate the relationship between city and culture in many aspects.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction: Explanation of the syllabus, giving information about the process. Selection of the study topics
2) City Concept / Urban Culture The list of the study topics
3) Transformation of Cities
4) Post-Industrial City
5) Global City
6) Public Space
7) Public Space -Midterm
8) Pandemic and City
9) Sustainability
10) Housing Culture
11) Student Presentations
12) Student Presentations
13) Student Presentations All student presentations must be uploaded to the related folder in "itslearning"
14) Evaluation of the Semester

Sources

Course Notes: -
References: • Thorns, David C. (2004), "Kentlerin Dönüşümü: Kent Teorisi ve Kentsel Yaşam", Soyak Yayınları, İstanbul, Türkiye. • Atanur, G. ve Yaman, M. (Editörler) (Eylül 2016), "Kent Kültürü ve Kentlilik Bilinci Sempozyumu" Bildiri Kitabı, Bursa Kent Konseyi Bilimsel Yayınlar Dizisi-3, Bursa, Türkiye. • Turgut Yıldız, H. ve Eyüce, A. (Derleyenler) (Aralık 2007), "Kent, Kültür ve Konut", IAPS-CSBE Network Kitap Serisi:7, Bahçeşehir Üniversitesi, Uğur Eğitim Pazarlama ve Yayıncılık A.Ş., İstanbul, Türkiye. • Keyder, Ç. (Editör) (2006), "İstanbul: Küresel ile Yerel Arasında"Metis Yayınları, İstanbul, Türkiye. • Bali, R. N. (2009), "Tarz-ı Hayat’tan Life Style’a: Yeni Seçkinler, Yeni Mekanlar, Yeni Yaşamlar", İletişim Yayınları, İstanbul, Türkiye.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 10
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation 1 % 30
Project % 0
Seminar % 0
Midterms 1 % 20
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
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 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 12 2 24
Presentations / Seminar 1 30 30
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 1 4 4
Paper Submission 0 0 0
Jury 0 0 0
Final 1 2 2
Total Workload 102

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.