(IT 526)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| IT 526 | 2 | 4 | 0 | 0 | 3 | 8 |
| Prerequisites | |
| Admission Requirements |
| Language of Instruction | English |
| Course Type | Compulsory |
| Course Level | Masters Degree |
| Course Instructor(s) | Gülfem ALPTEKİN gulfem@gmail.com (Email) |
| Assistant | |
| Objective | The aim of this course is to enable students to understand the concept of smart cities, the technological and sustainable transformation processes shaping the future of cities, and the fundamental technologies used in these processes. Within the scope of the course, topics such as smart city infrastructures, smart environment applications, autonomous vehicles, carbon footprint, and sustainability are addressed. Students are expected to develop the ability to analyze these concepts through real-world city examples and case studies. The course also aims to help students evaluate smart city solutions in the context of carbon footprint calculations, digital transformation processes, and climate change. By the end of the course, students are expected to be able to propose solutions for smart city applications by taking into account current technologies and sustainability approaches. |
| Content |
1. Introduction to Smart City Infrastructure and Smart Cities 2. The Future of Cities and Examples of Smart Cities 3. Smart Environment 4. Autonomous Vehicles 5. Carbon Footprint 6. Carbon Footprint Calculations – Case Studies 7. Midterm Exam 8. Sustainability and Climate Change – 1 9. Sustainability and Climate Change – 2 10. Digital Transformation 11. Project Presentations |
| Course Learning Outcomes |
A student who successfully completes this course will be able to: 1. Explain the concept of smart cities, their fundamental components, and the functioning of smart city infrastructures. 2. Analyze technological developments related to the future of cities and smart city applications around the world. 3. Evaluate the impact of smart environment applications, autonomous vehicles, and digital transformation technologies on urban life. 4. Explain the concept of carbon footprint and perform carbon footprint calculations for different scenarios. 5. Interpret sustainability and climate change issues within the context of smart city applications. 6. Analyze case studies related to smart city technologies and develop solution proposals. 7. Develop the ability to present a technical topic within the allocated time. |
| Teaching and Learning Methods | Lecture, Discussion, Case Study, Collaborative Learning, Brainstorming. |
| References |
1. Smart Cities: Introducing Digital Innovation to Cities, Oliver Gassmann, Jonas Böhm, Maximilian Palmié, Emerald Publishing, 2019. 2. The New Science of Cities, Michael Batty, MIT Press, Nov. 2013. 3. Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia, W.W. Norton& Company, 2014. 4. Innovative Applications in Smart Cities, Alberto Ochoa, Genoveva Vargas-Solar, Javier Alfonso Espinosa Oviedo, CRC Press, 2021. |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Introduction to Smart City Infrastructure and Smart Cities. |
| 2 | The Future of Cities and Examples of Smart Cities. |
| 3 | Smart Environment. |
| 4 | Autonomous Vehicles. |
| 5 | Carbon Footprint. |
| 6 | Carbon Footprint Calculations – Case Studies. |
| 7 | Midterm Exam. |
| 8 | Sustainability and Climate Change – 1. |
| 9 | Sustainability and Climate Change – 2. |
| 10 | Digital Transformation. |
| 11 | Project Presentations. |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 1 | 50 |
| Contribution of final exam to overall grade | 1 | 50 |
| Toplam | 2 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 50 |
| Project | 0 | 0 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 0 | 0 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Make-up | 0 | 0 |
| Toplam | 1 | 50 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | X | |||||
| 2 | X | |||||
| 3 | X | |||||
| 4 | X | |||||
| 5 | X | |||||
| 6 | X | |||||
| 7 | X | |||||
| 8 | X | |||||
| 9 | X | |||||
| 10 | X | |||||
| 11 | X | |||||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 11 | 4 | 44 |
| Working Hours out of Class | 11 | 5 | 55 |
| Assignments | 0 | 0 | 0 |
| Presentation | 0 | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 45 | 45 |
| Project | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Other Applications | 0 | 0 | 0 |
| Final Examinations (including preparation) | 1 | 45 | 45 |
| Quiz | 0 | 0 | 0 |
| Term Paper/ Project | 0 | 0 | 0 |
| Portfolio Study | 0 | 0 | 0 |
| Reports | 0 | 0 | 0 |
| Learning Diary | 0 | 0 | 0 |
| Thesis/ Project | 0 | 0 | 0 |
| Seminar | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Make-up | 0 | 0 | 0 |
| Yıl Sonu | 0 | 0 | 0 |
| Hazırlık Yıl Sonu | 0 | 0 | 0 |
| Hazırlık Bütünleme | 0 | 0 | 0 |
| Total Workload | 189 | ||
| Total Workload / 25 | 7.56 | ||
| Credits ECTS | 8 | ||