INDUSTRIAL 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
GEP0212 Emerging Technologies and Value Creation in Smart Cities Spring 3 0 3 5
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: GE-Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: E-Learning
Course Coordinator : Assist. Prof. BELİNDA TORUS
Course Objectives: This course examines how emerging digital technologies are transforming the design, performance, and governance of future cities. Through an interdisciplinary lens, students will explore how tools such as artificial intelligence, IoT, digital twins, and urban sensing can create social, environmental, and cultural value. The course emphasizes real-world case studies, critical analysis, and speculative urban futures, equipping students with skills to understand, evaluate, and creatively apply smart city technologies in spatial, infrastructural, and community contexts.

Learning Outcomes

The students who have succeeded in this course;
1- Identify and explain the principles and applications of key smart city technologies (AI, IoT, digital twins, big data, XR, blockchain).
2- Critically assess case studies of technology-driven urban projects from design, sustainability, and social impact perspectives.
3- Apply computational thinking to analyze and propose solutions for urban challenges.
4- Integrate interdisciplinary insights—architecture, engineering, policy, and design—into smart city strategies.
5- Develop collaborative, research-based, and visually communicated proposals for technology-enabled urban interventions.
6- Present findings effectively to technical and non-technical audiences using clear visual and verbal communication.

Course Content

This course explores the role of emerging technologies in shaping the design, planning, and operation of smart cities, with a particular emphasis on architectural applications and spatial innovation. Students will examine the integration of digital tools such as artificial intelligence, machine learning, big data analytics, blockchain, 3D printing, and the Internet of Things into urban systems, focusing on areas including energy efficiency, carbon management, smart buildings, mobility systems, and adaptive infrastructures. Through case studies of pioneering architectural projects and urban interventions, the course will investigate how technology can enhance sustainability, resilience, and livability in the built environment. Students will engage in case studies and present their findings in group work. For that purpose they will use literature review, critical analysis, and design-based research to develop an informed understanding of how technological advancements intersect with architectural thinking.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to emerging technologies and smart cities concepts. Emerging digital technologies and thriving sample start-ups in energy sector.
2) Creation of working groups and hypothetical start-ups. 3-4 students will establish working groups and each group will pick up a service area and at least one digital technology. And then this company will prepare a hypothetical start-up with a sound business model.
3) Progress Monitoring Each group will submit weekly progress reports and these will be reviewed during lectures each week.
4) Progress Monitoring Each group will submit weekly progress reports and these will be reviewed during lectures each week.
5) Progress Monitoring Each group will submit weekly progress reports and these will be reviewed during lectures each week.
6) Progress Monitoring Each group will submit weekly progress reports and these will be reviewed during lectures each week.
7) Progress Monitoring Each group will submit weekly progress reports and these will be reviewed during lectures each week.
8) Midterm Week Each group will submit weekly progress reports and these will be reviewed during lectures each week.
9) Progress Monitoring Her grup haftalık ilerleme raporları sunacak ve bunlar her hafta ders sırasında gözden geçirilecektir.
10) Progress Monitoring Each group will submit weekly progress reports and these will be reviewed during lectures each week.
11) Progress Monitoring Her grup haftalık ilerleme raporları sunacak ve bunlar her hafta ders sırasında gözden geçirilecektir.
12) Progress Monitoring Each group will submit weekly progress reports and these will be reviewed during lectures each week.
13) Progress Monitoring Each group will submit weekly progress reports and these will be reviewed during lectures each week.
14) Presentation of start-ups and their business models. Each group will submit a final report in IEEE format and make a presentation about their start-up.

Sources

Course Notes / Textbooks:
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Final 1 % 60
Paper Submission 13 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 13 3 39
Study Hours Out of Class 13 3 39
Paper Submission 13 3 39
Final 1 2 2
Total Workload 119

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) Build up a body of knowledge in mathematics, science and industrial engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems.
2) Identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose.
3) Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. The ability to apply modern design methods to meet this objective.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in industrial engineering practice; employ information technologies effectively.
5) Design and conduct experiments, collect data, analyze and interpret results for investigating the complex problems specific to industrial engineering.
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently.
7) Demonstrate effective communication skills in both oral and written English and Turkish. Writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions.
8) Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself. 4
9) Develop an awareness of professional and ethical responsibility, and behaving accordingly. Information about the standards used in engineering applications. 3
10) Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. 4
11) Know contemporary issues and the global and societal effects of modern age engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions. 4
12) Develop effective and efficient managerial skills.