Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DATA DRIVEN SMART CITIES | - | Spring Semester | 3+0 | 3 | 4 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assist.Prof. Mustafa ERDEM |
| Name of Lecturer(s) | Assist.Prof. Şehnaz CENANİ DURMAZOĞLU |
| Assistant(s) | |
| Aim | Main objective of the course is to provide students with an understanding of smart city and big data concept, give them the confidence and skills to learn new smart city and big data technologies, and encourage them to apply recently acquired knowledge to critical problem-solving in order to design smart cities with the use of (big) data technologies and therefore enhance the quality-of-life in the cities. |
| Course Content | This course contains; Aim & Scope of the Course; Introduction to Data-Driven Smart City Technologies,The Fundamentals of Data-Driven Smart City Technologies,Smart City Technologies,The Fundamentals of Big Data Technologies,Urban Big Data and Its Applications,Smart Governance: Decision Making in Smart Cities,Sustainable Development Goals (SDG) for Sustainable and Smart Cities; Smart Healthcare Applications,Smart Healthcare Applications for Sustainable and Smart Cities,Smart Urban Energy Systems and Smart Mobility Applications,Data Privacy and Security,Smart Living: Livability of Cities,Presentations,Presentations,Reviews and Discussions. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Develops skills to understand smart city and big data technologies. | 10, 14, 18, 5, 9 | C, D, E |
| Discusses smart city and big data technologies critically | 10, 14, 18, 5, 9 | C, D, E |
| Identify the role of information technologies in building smart cities. | 10, 14, 18, 5, 9 | C, D, E |
| Effectively and creatively applies big data technologies and their integration into a broader context. | 10, 14, 18, 5, 9 | C, D, E |
| Develops an individual and/or team research project that will be finalized and presented in an original, academic study or design. | 10, 14, 18, 5, 9 | C, D, E |
| Teaching Methods: | 10: Discussion Method, 14: Self Study Method, 18: Micro Teaching Technique, 5: Cooperative Learning, 9: Lecture Method |
| Assessment Methods: | C: Multiple-Choice Exam, D: Oral Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Aim & Scope of the Course; Introduction to Data-Driven Smart City Technologies | |
| 2 | The Fundamentals of Data-Driven Smart City Technologies | |
| 3 | Smart City Technologies | |
| 4 | The Fundamentals of Big Data Technologies | |
| 5 | Urban Big Data and Its Applications | |
| 6 | Smart Governance: Decision Making in Smart Cities | |
| 7 | Sustainable Development Goals (SDG) for Sustainable and Smart Cities; Smart Healthcare Applications | |
| 8 | Smart Healthcare Applications for Sustainable and Smart Cities | |
| 9 | Smart Urban Energy Systems and Smart Mobility Applications | |
| 10 | Data Privacy and Security | |
| 11 | Smart Living: Livability of Cities | |
| 12 | Presentations | |
| 13 | Presentations | |
| 14 | Reviews and Discussions |
| Resources |
| 1-Batty, M. (2018). Inventing Future Cities, MIT Press, Cambridge, MA.; 2-Batty, M. (2017), The New Science of Cities, MIT Press, Cambridge, MA.; 3-Batty, M. (2013). Big data, smart cities and city planning. Dialogues in Human Geography, 3(3), 274-279.; 4-Batty, M. (2012). Smart Cities, Big Data, Environment and Planning B, 39, 413-415.; 5-Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler- Milanovic, N., & Meijers, E. (2007). Smart Cities: Ranking of European Medium-Sized Cities. Vienna. Austria: Centre of Regional Science (SRF), Vienna University of Technology.; 6-Goldsmith, S., & Crawford, S. (2014). The responsive city: Engaging communities through data-smart governance. John Wiley & Sons.; 7-Kitchin, R., & McArdle, G. (2016). What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets. Big Data & Society, 3(1), 2053951716631130.; 8-Kitchin, R. (2014). The real-time city? Big data and smart urbanism, GeoJournal (2014) 79, 1–14.; 9-Kylili, A. & Fokaides, P.A. (2015). European smart cities: The role of zero energy buildings, Sustainable Cities and Society, 15, 86-95.; 10-Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt. |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | For urban design / landscape design and planning activities and research, able to comprehend and analyze multidimensional forms of knowledge, including theoretical and professional knowledge in a national and global context, and develop new ideas with a holistic and interdisciplinary approach to various urban design problems. | X | |||||
| 2 | In urban design, landscape planning, design and management processes, through recognizing materials and technologies aimed at preserving the balance of human-culture-natural and built environment; have the knowledge based on sustainability of environmental systems. | ||||||
| 3 | Able to find ideas by presenting expert knowledge of ethical values, project management, legal rights and responsibilities and regulations in related field. | ||||||
| 4 | Acquires information about the natural, cultural and historical development processes of cities and landscapes and establishes connections between this information with a professional approach. | ||||||
| 5 | Have ability to make connections between the field of urban design/ landscape architecture and sustainable development principles, and has the necessary knowledge and understanding on current global issues such as climate crisis, urban/disaster resilience. | X | |||||
| 6 | Has the ability to identify and analyze problems in the fields of city, landscape, design and planning, synthesize them with appropriate methods and techniques, and develop multiple alternative design solutions. | X | |||||
| 7 | Has the ability to synthesize information from all other disciplines related to the field of city, landscape, architecture and planning, to work interactively with all related fields, to establish interdisciplinary work teams and to manage these teams. | X | |||||
| 8 | In producing sustainable solutions to events, facts, situations and problems in the field of urban design and landscape architecture; Can carry out project and implementation processes in planning, design, conservation and management studies that take into account ecological systems and are based on preserving the balance of human-culture-nature and built environment. | ||||||
| 9 | Has the ability to take individual and joint responsibilities in multidisciplinary, interdisciplinary and transdisciplinary studies covering the field of urban design and landscape architecture. | X | |||||
| 10 | Ability to create innovative ideas and scenarios and develop concepts by using theoretical knowledge and visual communication technologies related to the field in multidisciplinary studies; to design and visualize application projects with his knowledge of materials, structure and construction technology. | ||||||
| 11 | Have the ability of dialectical understanding to the several knowledge types related to city, landscape, nature and design, and a conduct research to update the knowledge, and plans learning processes. | X | |||||
| 12 | Enriches the knowledge and equipment by adding current knowledge and technologies related to the field and all forms of knowledge based on human-space interaction to his own knowledge with the awareness of lifelong learning. | ||||||
| 13 | Has the ability to express his/her research, ideas and projects in the field of urban design and landscape architecture with all kinds of written, visual, digital, analogue media and communication tools required by the profession ;has the ability to use technical drawing standards and software tools to visualize urban landscape design projects and relate them to each other within a project as a whole. | ||||||
| 14 | By using English effectively at the European Language Portfolio B1 General Level, follows the developments in the field and communicates effectively with the colleagues. | ||||||
| 15 | With the awareness of the public aspect of urban space and landscape, organizes and implements socially inclusive projects, collaborations and events. | ||||||
| 16 | Has the skills and awareness to collect, evaluate and interpret the necessary data at the level of professional expertise in order to contribute to urban design / urban development and renewal / definition, protection and design of landscapes to increase the quality of life of the society and public benefit. | X | |||||
| 17 | Being aware that the actions of the landscape architect are beneficial in terms of human rights and society and that they produce social services, knowledge, sensitivity and awareness about social justice, quality culture, protection of natural and cultural values, environmental protection, occupational health and safety, legal frameworks and ethical principles specific to providing professional services. It has equipment. | ||||||
| 18 | Has the necessary knowledge and awareness about the pressures, problems and current trends on cities, rural areas, landscapes and nature at national and international levels. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 2 | 28 | |||
| Course Hours | 0 | 0 | 0 | |||
| Course Hours | 0 | 0 | 0 | |||
| Course Hours | 0 | 0 | 0 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Guided Problem Solving | 5 | 4 | 20 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 2 | 10 | 20 | |||
| Resolution of Homework Problems and Submission as a Report | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 0 | 0 | 0 | |||
| Term Project | 0 | 0 | 0 | |||
| Term Project | 0 | 0 | 0 | |||
| Term Project | 0 | 0 | 0 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 2 | 10 | 20 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 0 | 0 | 0 | |||
| Midterm Exam | 0 | 0 | 0 | |||
| Midterm Exam | 1 | 10 | 10 | |||
| Midterm Exam | 0 | 0 | 0 | |||
| General Exam | 0 | 0 | 0 | |||
| General Exam | 1 | 10 | 10 | |||
| General Exam | 0 | 0 | 0 | |||
| General Exam | 0 | 0 | 0 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 108 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(108/30) | 4 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DATA DRIVEN SMART CITIES | - | Spring Semester | 3+0 | 3 | 4 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assist.Prof. Mustafa ERDEM |
| Name of Lecturer(s) | Assist.Prof. Şehnaz CENANİ DURMAZOĞLU |
| Assistant(s) | |
| Aim | Main objective of the course is to provide students with an understanding of smart city and big data concept, give them the confidence and skills to learn new smart city and big data technologies, and encourage them to apply recently acquired knowledge to critical problem-solving in order to design smart cities with the use of (big) data technologies and therefore enhance the quality-of-life in the cities. |
| Course Content | This course contains; Aim & Scope of the Course; Introduction to Data-Driven Smart City Technologies,The Fundamentals of Data-Driven Smart City Technologies,Smart City Technologies,The Fundamentals of Big Data Technologies,Urban Big Data and Its Applications,Smart Governance: Decision Making in Smart Cities,Sustainable Development Goals (SDG) for Sustainable and Smart Cities; Smart Healthcare Applications,Smart Healthcare Applications for Sustainable and Smart Cities,Smart Urban Energy Systems and Smart Mobility Applications,Data Privacy and Security,Smart Living: Livability of Cities,Presentations,Presentations,Reviews and Discussions. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Develops skills to understand smart city and big data technologies. | 10, 14, 18, 5, 9 | C, D, E |
| Discusses smart city and big data technologies critically | 10, 14, 18, 5, 9 | C, D, E |
| Identify the role of information technologies in building smart cities. | 10, 14, 18, 5, 9 | C, D, E |
| Effectively and creatively applies big data technologies and their integration into a broader context. | 10, 14, 18, 5, 9 | C, D, E |
| Develops an individual and/or team research project that will be finalized and presented in an original, academic study or design. | 10, 14, 18, 5, 9 | C, D, E |
| Teaching Methods: | 10: Discussion Method, 14: Self Study Method, 18: Micro Teaching Technique, 5: Cooperative Learning, 9: Lecture Method |
| Assessment Methods: | C: Multiple-Choice Exam, D: Oral Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Aim & Scope of the Course; Introduction to Data-Driven Smart City Technologies | |
| 2 | The Fundamentals of Data-Driven Smart City Technologies | |
| 3 | Smart City Technologies | |
| 4 | The Fundamentals of Big Data Technologies | |
| 5 | Urban Big Data and Its Applications | |
| 6 | Smart Governance: Decision Making in Smart Cities | |
| 7 | Sustainable Development Goals (SDG) for Sustainable and Smart Cities; Smart Healthcare Applications | |
| 8 | Smart Healthcare Applications for Sustainable and Smart Cities | |
| 9 | Smart Urban Energy Systems and Smart Mobility Applications | |
| 10 | Data Privacy and Security | |
| 11 | Smart Living: Livability of Cities | |
| 12 | Presentations | |
| 13 | Presentations | |
| 14 | Reviews and Discussions |
| Resources |
| 1-Batty, M. (2018). Inventing Future Cities, MIT Press, Cambridge, MA.; 2-Batty, M. (2017), The New Science of Cities, MIT Press, Cambridge, MA.; 3-Batty, M. (2013). Big data, smart cities and city planning. Dialogues in Human Geography, 3(3), 274-279.; 4-Batty, M. (2012). Smart Cities, Big Data, Environment and Planning B, 39, 413-415.; 5-Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler- Milanovic, N., & Meijers, E. (2007). Smart Cities: Ranking of European Medium-Sized Cities. Vienna. Austria: Centre of Regional Science (SRF), Vienna University of Technology.; 6-Goldsmith, S., & Crawford, S. (2014). The responsive city: Engaging communities through data-smart governance. John Wiley & Sons.; 7-Kitchin, R., & McArdle, G. (2016). What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets. Big Data & Society, 3(1), 2053951716631130.; 8-Kitchin, R. (2014). The real-time city? Big data and smart urbanism, GeoJournal (2014) 79, 1–14.; 9-Kylili, A. & Fokaides, P.A. (2015). European smart cities: The role of zero energy buildings, Sustainable Cities and Society, 15, 86-95.; 10-Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt. |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | For urban design / landscape design and planning activities and research, able to comprehend and analyze multidimensional forms of knowledge, including theoretical and professional knowledge in a national and global context, and develop new ideas with a holistic and interdisciplinary approach to various urban design problems. | X | |||||
| 2 | In urban design, landscape planning, design and management processes, through recognizing materials and technologies aimed at preserving the balance of human-culture-natural and built environment; have the knowledge based on sustainability of environmental systems. | ||||||
| 3 | Able to find ideas by presenting expert knowledge of ethical values, project management, legal rights and responsibilities and regulations in related field. | ||||||
| 4 | Acquires information about the natural, cultural and historical development processes of cities and landscapes and establishes connections between this information with a professional approach. | ||||||
| 5 | Have ability to make connections between the field of urban design/ landscape architecture and sustainable development principles, and has the necessary knowledge and understanding on current global issues such as climate crisis, urban/disaster resilience. | X | |||||
| 6 | Has the ability to identify and analyze problems in the fields of city, landscape, design and planning, synthesize them with appropriate methods and techniques, and develop multiple alternative design solutions. | X | |||||
| 7 | Has the ability to synthesize information from all other disciplines related to the field of city, landscape, architecture and planning, to work interactively with all related fields, to establish interdisciplinary work teams and to manage these teams. | X | |||||
| 8 | In producing sustainable solutions to events, facts, situations and problems in the field of urban design and landscape architecture; Can carry out project and implementation processes in planning, design, conservation and management studies that take into account ecological systems and are based on preserving the balance of human-culture-nature and built environment. | ||||||
| 9 | Has the ability to take individual and joint responsibilities in multidisciplinary, interdisciplinary and transdisciplinary studies covering the field of urban design and landscape architecture. | X | |||||
| 10 | Ability to create innovative ideas and scenarios and develop concepts by using theoretical knowledge and visual communication technologies related to the field in multidisciplinary studies; to design and visualize application projects with his knowledge of materials, structure and construction technology. | ||||||
| 11 | Have the ability of dialectical understanding to the several knowledge types related to city, landscape, nature and design, and a conduct research to update the knowledge, and plans learning processes. | X | |||||
| 12 | Enriches the knowledge and equipment by adding current knowledge and technologies related to the field and all forms of knowledge based on human-space interaction to his own knowledge with the awareness of lifelong learning. | ||||||
| 13 | Has the ability to express his/her research, ideas and projects in the field of urban design and landscape architecture with all kinds of written, visual, digital, analogue media and communication tools required by the profession ;has the ability to use technical drawing standards and software tools to visualize urban landscape design projects and relate them to each other within a project as a whole. | ||||||
| 14 | By using English effectively at the European Language Portfolio B1 General Level, follows the developments in the field and communicates effectively with the colleagues. | ||||||
| 15 | With the awareness of the public aspect of urban space and landscape, organizes and implements socially inclusive projects, collaborations and events. | ||||||
| 16 | Has the skills and awareness to collect, evaluate and interpret the necessary data at the level of professional expertise in order to contribute to urban design / urban development and renewal / definition, protection and design of landscapes to increase the quality of life of the society and public benefit. | X | |||||
| 17 | Being aware that the actions of the landscape architect are beneficial in terms of human rights and society and that they produce social services, knowledge, sensitivity and awareness about social justice, quality culture, protection of natural and cultural values, environmental protection, occupational health and safety, legal frameworks and ethical principles specific to providing professional services. It has equipment. | ||||||
| 18 | Has the necessary knowledge and awareness about the pressures, problems and current trends on cities, rural areas, landscapes and nature at national and international levels. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |