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 | DESIGN (Knowledge-Theoretical, Factual): During planning, implementation, management and supervision processes; Knowledge of creative problem defining and solving | ||||||
| 2 | DESIGN (Skill-Cognitive, Applied): Design-oriented research fiction, execution and evaluation of results and design process planning, management, application skills | ||||||
| 3 | DESIGN (Competencies-Ability to Work Independently and Take Responsibility): Ability to work within a team, to emphasize interdisciplinary interaction and apply technology-based business association methods | ||||||
| 4 | DESIGN (Competencies-Learning Competence): To evaluate critically the knowledge and skills gained in the field, to plan and to develop constantly professional knowledge, skills and approaches | ||||||
| 5 | DESIGN (Competencies-Communication and Social Competence): Transferring design solutions as oral, written and visual (2D and 3D) presentations on national and international platforms | ||||||
| 6 | DESIGN (Competencies-Field Specific Competence): Contributing to the design of industrial products to improve the quality of life of the society. | ||||||
| 7 | HISTORY, CULTURE, ART (Knowledge-Theoretical, Factual): To make connections between the information obtained by the analytical approach and the information on historical and cultural development and current situation in Turkey and in the world, and to expand the boundaries of vocational education proficiency to develop new ideas | ||||||
| 8 | HISTORY, CULTURE, ART (Skill-Cognitive, Applied): Ability to solve the design related problems encountered in concept development, by using the knowledge gained in the field of history, culture and art | ||||||
| 9 | HISTORY, CULTURE, ART (Competencies - Independent Work and Ability to Take Responsibility): To be able to do interdisciplinary work by using the knowledge gained in the field of history, culture and art | ||||||
| 10 | HISTORY, CULTURE, ART (Competences-Learning Competence): Ability to develop the knowledge gained in the field in the direction needed, using the research methods | ||||||
| 11 | HISTORY, CULTURE, ART (Competencies-Communication and Social Competence): Awareness of social and cultural phenomena and continuous change and arranging plans, strategies, projects, collaborations and activities for the social environment with social responsibility consciousness. | ||||||
| 12 | MATERIALS AND TECHNOLOGY (Knowledge-Theoretical, Factual): To gain knowledge concerning technology, material, product and production methods - that is to be used in the solution of the problem related to the field. | X | |||||
| 13 | MATERIALS AND TECHNOLOGY (Skill-Cognitive, Applied): Knowing materials, technology and production methods and developing designs compatible with these methods, proposing new technologies and production methods, developing creative design solutions by interpreting and using technology. | X | |||||
| 14 | MATERIALS AND TECHNOLOGY (Competencies - Independent Work and Ability to Take Responsibility): To be able to work together with stakeholders working on different areas and needs in construction and production technologies | ||||||
| 15 | MATERIALS AND TECHNOLOGY (Competencies-Learning Competence): Understand the compatibility and flexibility between the technological tools that meet the requirements according to the needs | ||||||
| 16 | MATERIALS AND TECHNOLOGY (Competencies-Communication and Social Competence): Ability to use appropriate communication techniques and technologies | X | |||||
| 17 | MATERIALS AND TECHNOLOGY (Competencies-Field Specific Competencies): Producing and applying knowledge to serve sustainable production and life | ||||||
| 18 | MATERIALS AND TECHNOLOGY (Competencies-Filed specific competencies): To be able to develop creative design solutions by mastering technological development, interpreting the developments and pioneering such developments. | X | |||||
| 19 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Knowledge-Theoretical, Factual): -Ethics related to the field, -project management issues, -legal rights and responsibilities, -To gain knowledge about legal responsibilities and regulations affecting design works | ||||||
| 20 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Skill-Cognitive, Applied): Ability to recognize and apply the techniques used and legal responsibilities in planning, design, construction and operation phases of project management. | ||||||
| 21 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Competences - Capability to Work Independently and Take Responsibility): To adapt to the different working environments and forms required by the profession and to contribute to the development of these environments | ||||||
| 22 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Capabilities-Learning Capability): Monitoring and learning the legal, administrative and procedural requirements of design and construction projects throughout professional life, developing new strategic approaches in solving complex problems, taking responsibility | ||||||
| 23 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Competencies-Communication and Social Competence): Being able to lead the process -deploying the necessary communication skills and tools- during planning, designing, construction and operation stages, and demonstrating leadership in providing the solution in the work environment. | ||||||
| 24 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Competencies-Field Specific Competence): To be able to transfer knowledge to the level of expertise, to use theoretical and practical knowledge on the field of Professional Practice, Project Management and Legal responsibilities, knowledge of interdisciplinary interaction | ||||||
| 25 | ENVIRONMENT, STRUCTURE AND HUMAN HEALTH (Knowledge-Theoretic, Factual): Methods and techniques that will be used in the solution of the problems related to the field – to gain knowledge to apply the techniques in the context of environmental health, -building health, -human health | X | |||||
| 26 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Skill-Cognitive, Applied): Understanding the relationships between environment, structure and human health and creating solutions to related design problems. | X | |||||
| 27 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Competences - Capability to Work Independently and Take Responsibility): Taking competence and responsibility in the fields of urban / space / product planning, design, implementation and supervision of environment, strcuture and human health | X | |||||
| 28 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Capabilities-Learning Capability): Competence in researching theoretical and applied information systems on environment, structure and human health | X | |||||
| 29 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Competencies-Communication and Social Competence): Be able to communicate with all areas of expertise in environment, structure and human health | ||||||
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 | DESIGN (Knowledge-Theoretical, Factual): During planning, implementation, management and supervision processes; Knowledge of creative problem defining and solving | ||||||
| 2 | DESIGN (Skill-Cognitive, Applied): Design-oriented research fiction, execution and evaluation of results and design process planning, management, application skills | ||||||
| 3 | DESIGN (Competencies-Ability to Work Independently and Take Responsibility): Ability to work within a team, to emphasize interdisciplinary interaction and apply technology-based business association methods | ||||||
| 4 | DESIGN (Competencies-Learning Competence): To evaluate critically the knowledge and skills gained in the field, to plan and to develop constantly professional knowledge, skills and approaches | ||||||
| 5 | DESIGN (Competencies-Communication and Social Competence): Transferring design solutions as oral, written and visual (2D and 3D) presentations on national and international platforms | ||||||
| 6 | DESIGN (Competencies-Field Specific Competence): Contributing to the design of industrial products to improve the quality of life of the society. | ||||||
| 7 | HISTORY, CULTURE, ART (Knowledge-Theoretical, Factual): To make connections between the information obtained by the analytical approach and the information on historical and cultural development and current situation in Turkey and in the world, and to expand the boundaries of vocational education proficiency to develop new ideas | ||||||
| 8 | HISTORY, CULTURE, ART (Skill-Cognitive, Applied): Ability to solve the design related problems encountered in concept development, by using the knowledge gained in the field of history, culture and art | ||||||
| 9 | HISTORY, CULTURE, ART (Competencies - Independent Work and Ability to Take Responsibility): To be able to do interdisciplinary work by using the knowledge gained in the field of history, culture and art | ||||||
| 10 | HISTORY, CULTURE, ART (Competences-Learning Competence): Ability to develop the knowledge gained in the field in the direction needed, using the research methods | ||||||
| 11 | HISTORY, CULTURE, ART (Competencies-Communication and Social Competence): Awareness of social and cultural phenomena and continuous change and arranging plans, strategies, projects, collaborations and activities for the social environment with social responsibility consciousness. | ||||||
| 12 | MATERIALS AND TECHNOLOGY (Knowledge-Theoretical, Factual): To gain knowledge concerning technology, material, product and production methods - that is to be used in the solution of the problem related to the field. | X | |||||
| 13 | MATERIALS AND TECHNOLOGY (Skill-Cognitive, Applied): Knowing materials, technology and production methods and developing designs compatible with these methods, proposing new technologies and production methods, developing creative design solutions by interpreting and using technology. | X | |||||
| 14 | MATERIALS AND TECHNOLOGY (Competencies - Independent Work and Ability to Take Responsibility): To be able to work together with stakeholders working on different areas and needs in construction and production technologies | ||||||
| 15 | MATERIALS AND TECHNOLOGY (Competencies-Learning Competence): Understand the compatibility and flexibility between the technological tools that meet the requirements according to the needs | ||||||
| 16 | MATERIALS AND TECHNOLOGY (Competencies-Communication and Social Competence): Ability to use appropriate communication techniques and technologies | X | |||||
| 17 | MATERIALS AND TECHNOLOGY (Competencies-Field Specific Competencies): Producing and applying knowledge to serve sustainable production and life | ||||||
| 18 | MATERIALS AND TECHNOLOGY (Competencies-Filed specific competencies): To be able to develop creative design solutions by mastering technological development, interpreting the developments and pioneering such developments. | X | |||||
| 19 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Knowledge-Theoretical, Factual): -Ethics related to the field, -project management issues, -legal rights and responsibilities, -To gain knowledge about legal responsibilities and regulations affecting design works | ||||||
| 20 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Skill-Cognitive, Applied): Ability to recognize and apply the techniques used and legal responsibilities in planning, design, construction and operation phases of project management. | ||||||
| 21 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Competences - Capability to Work Independently and Take Responsibility): To adapt to the different working environments and forms required by the profession and to contribute to the development of these environments | ||||||
| 22 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Capabilities-Learning Capability): Monitoring and learning the legal, administrative and procedural requirements of design and construction projects throughout professional life, developing new strategic approaches in solving complex problems, taking responsibility | ||||||
| 23 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Competencies-Communication and Social Competence): Being able to lead the process -deploying the necessary communication skills and tools- during planning, designing, construction and operation stages, and demonstrating leadership in providing the solution in the work environment. | ||||||
| 24 | PROFESSIONAL PRACTICE, PROJECT MANAGEMENT AND LEGAL RESPONSIBILITIES (Competencies-Field Specific Competence): To be able to transfer knowledge to the level of expertise, to use theoretical and practical knowledge on the field of Professional Practice, Project Management and Legal responsibilities, knowledge of interdisciplinary interaction | ||||||
| 25 | ENVIRONMENT, STRUCTURE AND HUMAN HEALTH (Knowledge-Theoretic, Factual): Methods and techniques that will be used in the solution of the problems related to the field – to gain knowledge to apply the techniques in the context of environmental health, -building health, -human health | X | |||||
| 26 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Skill-Cognitive, Applied): Understanding the relationships between environment, structure and human health and creating solutions to related design problems. | X | |||||
| 27 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Competences - Capability to Work Independently and Take Responsibility): Taking competence and responsibility in the fields of urban / space / product planning, design, implementation and supervision of environment, strcuture and human health | X | |||||
| 28 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Capabilities-Learning Capability): Competence in researching theoretical and applied information systems on environment, structure and human health | X | |||||
| 29 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Competencies-Communication and Social Competence): Be able to communicate with all areas of expertise in environment, structure and human health | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |