Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| ARCHITECTURE and AI | MIM3116144 | Fall Semester | 1+2 | 2 | 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. Tahir AKKOYUNLU |
| Name of Lecturer(s) | Assist.Prof. Tahir AKKOYUNLU |
| Assistant(s) | |
| Aim | The aim of this course is to enable students to understand the philosophical foundations and historical development of artificial intelligence, and to familiarize themselves with current artificial intelligence platforms and their applications in the field of architecture. The course aims to provide students with practical modeling experience using AI-supported design tools (Revit, Dynamo, generative design, etc.). It also contributes to students developing a critical and innovative perspective by discussing the future impact of artificial intelligence on architecture, building production, and the construction industry. |
| Course Content | This course contains; Introduction to Artificial Intelligence – Historical Framework (From Alan Turing to the Present), Foundations of Artificial Intelligence – Philosophical and Scientific Roots ,From symbolic approaches to machine learning. The birth of neural networks. The “black box” problem and architectural creativity. LLMs' (GPT, Claude, Gemini, Deepseek etc.),Experiments in Artificial Intelligence in the Field of Architecture (1960–2000), How do GANs, Diffusion Models (DALL-E, Midjourney), and Large Language Models (GPT series) work? What does this mean for architects?,Effective prompt writing techniques. Visual production with architectural language and style references. (Finch, Architectures, Hypar, Giraffe, Spacemaker AI, Testfit, etc.),Artificial Intelligence-Supported Design Processes – Possibilities and Limitations, Introduction to Artificial Intelligence Coding with Python, Parameter Generation with Artificial Intelligence (Python + Dynamo Scripts), Automatic Mass Modeling with Artificial Intelligence in Revit Models,AI-Based Plan Schema Recommendations (e.g., GPT-based prompt–code integration), Practical Work – AI + Dynamo for a Simple Structure Form,BIM and AI Integration, Architectural Form Development with Generative Design. After creating the main form, modeling details such as facade panels and structural elements with AI-supported codes.,Midterm,Ask AI for Python code using natural language. Commands such as “Create a surface that mimics the wavy pattern in the image I generated.” Facade Design with Artificial Intelligence, ,Generate simple codes that analyze the impact of facade design on energy performance. Integration with tools such as Ladybug/Honeybee. Structural/Performance Analysis with AI (daylight, energy, acoustic optimization),AI applications for work schedule optimization, cost estimation, and construction site safety analysis. Converting data from an Excel table (e.g., room list) into code using AI and performing automatic modeling in Revit.,AI Ethics and Future Projections in Architecture, robotic fabrication, drone site inspection, digital twins. Transition from Parametricism to AI aesthetics. Debate on whether AI will create a new “style” in architecture. AI and Architecture 2030–2050,Define the problem for AI to find the most efficient office layout under specific constraints (e.g., circulation, natural light). Feed a render from the model back into the AI (img2img) to generate new ideas and revise the model accordingly.,Final Project & workshop (Hackaton). |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| Teaching Methods: | |
| Assessment Methods: |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Artificial Intelligence – Historical Framework (From Alan Turing to the Present), Foundations of Artificial Intelligence – Philosophical and Scientific Roots | |
| 2 | From symbolic approaches to machine learning. The birth of neural networks. The “black box” problem and architectural creativity. LLMs' (GPT, Claude, Gemini, Deepseek etc.) | |
| 3 | Experiments in Artificial Intelligence in the Field of Architecture (1960–2000), How do GANs, Diffusion Models (DALL-E, Midjourney), and Large Language Models (GPT series) work? What does this mean for architects? | |
| 4 | Effective prompt writing techniques. Visual production with architectural language and style references. (Finch, Architectures, Hypar, Giraffe, Spacemaker AI, Testfit, etc.) | |
| 5 | Artificial Intelligence-Supported Design Processes – Possibilities and Limitations, Introduction to Artificial Intelligence Coding with Python, Parameter Generation with Artificial Intelligence (Python + Dynamo Scripts), Automatic Mass Modeling with Artificial Intelligence in Revit Models | |
| 6 | AI-Based Plan Schema Recommendations (e.g., GPT-based prompt–code integration), Practical Work – AI + Dynamo for a Simple Structure Form | |
| 7 | BIM and AI Integration, Architectural Form Development with Generative Design. After creating the main form, modeling details such as facade panels and structural elements with AI-supported codes. | |
| 8 | Midterm | |
| 9 | Ask AI for Python code using natural language. Commands such as “Create a surface that mimics the wavy pattern in the image I generated.” Facade Design with Artificial Intelligence, | |
| 10 | Generate simple codes that analyze the impact of facade design on energy performance. Integration with tools such as Ladybug/Honeybee. Structural/Performance Analysis with AI (daylight, energy, acoustic optimization) | |
| 11 | AI applications for work schedule optimization, cost estimation, and construction site safety analysis. Converting data from an Excel table (e.g., room list) into code using AI and performing automatic modeling in Revit. | |
| 12 | AI Ethics and Future Projections in Architecture, robotic fabrication, drone site inspection, digital twins. Transition from Parametricism to AI aesthetics. Debate on whether AI will create a new “style” in architecture. AI and Architecture 2030–2050 | |
| 13 | Define the problem for AI to find the most efficient office layout under specific constraints (e.g., circulation, natural light). Feed a render from the model back into the AI (img2img) to generate new ideas and revise the model accordingly. | |
| 14 | Final Project & workshop (Hackaton) |
| Resources |
| Books Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. (AI felsefi/teorik altyapısı) Boden, M. A. (2016). AI: Its Nature and Future. Oxford University Press. Negroponte, N. (1970). The Architecture Machine. MIT Press. Oxman, Rivka (2017). Thinking Machines: Design and Digital Architecture. Design Studies. Celani, G. (2012). Digital Fabrication and Parametric Design in Architecture. Springer. Krygiel, E., & Nies, B. (2008). Green BIM: Successful Sustainable Design with Building Information Modeling. Wiley. Baharlou, E., & Dritsas, S. (2018). Computational Design with Python and Dynamo. Routledge. David Gerber (2014). Parametric Design for Architecture. Routledge. Web: Dynamo Primer: https://primer.dynamobim.org/ Autodesk University AI & BIM oturumları: https://www.autodesk.com/university Revit API Developer’s Guide: https://www.revitapidocs.com/ GitHub – AI + Architecture reposu: https://github.com/topics/architecture Spacemaker AI (Autodesk): https://spacemaker.ai/ TestFit (AI driven site planning): https://testfit.io/ LookX AI Architecture platform: https://lookx.ai/ Journal Design Studies (özellikle AI + design makaleleri): https://www.journals.elsevier.com/design-studies |
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. | ||||||
| 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. | ||||||
| 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 | ||||||
| 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. | ||||||
| 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 | ||||||
| 26 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Skill-Cognitive, Applied): Understanding the relationships between environment, structure and human health and creating solutions to related design problems. | ||||||
| 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 | ||||||
| 28 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Capabilities-Learning Capability): Competence in researching theoretical and applied information systems on environment, structure and human health | ||||||
| 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 | 0 | 0 | 0 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 0 | 0 | 0 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 0 | 0 | 0 | |||
| General Exam | 0 | 0 | 0 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 0 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(0/30) | 0 | |||||
| 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 |
|---|---|---|---|---|---|
| ARCHITECTURE and AI | MIM3116144 | Fall Semester | 1+2 | 2 | 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. Tahir AKKOYUNLU |
| Name of Lecturer(s) | Assist.Prof. Tahir AKKOYUNLU |
| Assistant(s) | |
| Aim | The aim of this course is to enable students to understand the philosophical foundations and historical development of artificial intelligence, and to familiarize themselves with current artificial intelligence platforms and their applications in the field of architecture. The course aims to provide students with practical modeling experience using AI-supported design tools (Revit, Dynamo, generative design, etc.). It also contributes to students developing a critical and innovative perspective by discussing the future impact of artificial intelligence on architecture, building production, and the construction industry. |
| Course Content | This course contains; Introduction to Artificial Intelligence – Historical Framework (From Alan Turing to the Present), Foundations of Artificial Intelligence – Philosophical and Scientific Roots ,From symbolic approaches to machine learning. The birth of neural networks. The “black box” problem and architectural creativity. LLMs' (GPT, Claude, Gemini, Deepseek etc.),Experiments in Artificial Intelligence in the Field of Architecture (1960–2000), How do GANs, Diffusion Models (DALL-E, Midjourney), and Large Language Models (GPT series) work? What does this mean for architects?,Effective prompt writing techniques. Visual production with architectural language and style references. (Finch, Architectures, Hypar, Giraffe, Spacemaker AI, Testfit, etc.),Artificial Intelligence-Supported Design Processes – Possibilities and Limitations, Introduction to Artificial Intelligence Coding with Python, Parameter Generation with Artificial Intelligence (Python + Dynamo Scripts), Automatic Mass Modeling with Artificial Intelligence in Revit Models,AI-Based Plan Schema Recommendations (e.g., GPT-based prompt–code integration), Practical Work – AI + Dynamo for a Simple Structure Form,BIM and AI Integration, Architectural Form Development with Generative Design. After creating the main form, modeling details such as facade panels and structural elements with AI-supported codes.,Midterm,Ask AI for Python code using natural language. Commands such as “Create a surface that mimics the wavy pattern in the image I generated.” Facade Design with Artificial Intelligence, ,Generate simple codes that analyze the impact of facade design on energy performance. Integration with tools such as Ladybug/Honeybee. Structural/Performance Analysis with AI (daylight, energy, acoustic optimization),AI applications for work schedule optimization, cost estimation, and construction site safety analysis. Converting data from an Excel table (e.g., room list) into code using AI and performing automatic modeling in Revit.,AI Ethics and Future Projections in Architecture, robotic fabrication, drone site inspection, digital twins. Transition from Parametricism to AI aesthetics. Debate on whether AI will create a new “style” in architecture. AI and Architecture 2030–2050,Define the problem for AI to find the most efficient office layout under specific constraints (e.g., circulation, natural light). Feed a render from the model back into the AI (img2img) to generate new ideas and revise the model accordingly.,Final Project & workshop (Hackaton). |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| Teaching Methods: | |
| Assessment Methods: |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Artificial Intelligence – Historical Framework (From Alan Turing to the Present), Foundations of Artificial Intelligence – Philosophical and Scientific Roots | |
| 2 | From symbolic approaches to machine learning. The birth of neural networks. The “black box” problem and architectural creativity. LLMs' (GPT, Claude, Gemini, Deepseek etc.) | |
| 3 | Experiments in Artificial Intelligence in the Field of Architecture (1960–2000), How do GANs, Diffusion Models (DALL-E, Midjourney), and Large Language Models (GPT series) work? What does this mean for architects? | |
| 4 | Effective prompt writing techniques. Visual production with architectural language and style references. (Finch, Architectures, Hypar, Giraffe, Spacemaker AI, Testfit, etc.) | |
| 5 | Artificial Intelligence-Supported Design Processes – Possibilities and Limitations, Introduction to Artificial Intelligence Coding with Python, Parameter Generation with Artificial Intelligence (Python + Dynamo Scripts), Automatic Mass Modeling with Artificial Intelligence in Revit Models | |
| 6 | AI-Based Plan Schema Recommendations (e.g., GPT-based prompt–code integration), Practical Work – AI + Dynamo for a Simple Structure Form | |
| 7 | BIM and AI Integration, Architectural Form Development with Generative Design. After creating the main form, modeling details such as facade panels and structural elements with AI-supported codes. | |
| 8 | Midterm | |
| 9 | Ask AI for Python code using natural language. Commands such as “Create a surface that mimics the wavy pattern in the image I generated.” Facade Design with Artificial Intelligence, | |
| 10 | Generate simple codes that analyze the impact of facade design on energy performance. Integration with tools such as Ladybug/Honeybee. Structural/Performance Analysis with AI (daylight, energy, acoustic optimization) | |
| 11 | AI applications for work schedule optimization, cost estimation, and construction site safety analysis. Converting data from an Excel table (e.g., room list) into code using AI and performing automatic modeling in Revit. | |
| 12 | AI Ethics and Future Projections in Architecture, robotic fabrication, drone site inspection, digital twins. Transition from Parametricism to AI aesthetics. Debate on whether AI will create a new “style” in architecture. AI and Architecture 2030–2050 | |
| 13 | Define the problem for AI to find the most efficient office layout under specific constraints (e.g., circulation, natural light). Feed a render from the model back into the AI (img2img) to generate new ideas and revise the model accordingly. | |
| 14 | Final Project & workshop (Hackaton) |
| Resources |
| Books Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. (AI felsefi/teorik altyapısı) Boden, M. A. (2016). AI: Its Nature and Future. Oxford University Press. Negroponte, N. (1970). The Architecture Machine. MIT Press. Oxman, Rivka (2017). Thinking Machines: Design and Digital Architecture. Design Studies. Celani, G. (2012). Digital Fabrication and Parametric Design in Architecture. Springer. Krygiel, E., & Nies, B. (2008). Green BIM: Successful Sustainable Design with Building Information Modeling. Wiley. Baharlou, E., & Dritsas, S. (2018). Computational Design with Python and Dynamo. Routledge. David Gerber (2014). Parametric Design for Architecture. Routledge. Web: Dynamo Primer: https://primer.dynamobim.org/ Autodesk University AI & BIM oturumları: https://www.autodesk.com/university Revit API Developer’s Guide: https://www.revitapidocs.com/ GitHub – AI + Architecture reposu: https://github.com/topics/architecture Spacemaker AI (Autodesk): https://spacemaker.ai/ TestFit (AI driven site planning): https://testfit.io/ LookX AI Architecture platform: https://lookx.ai/ Journal Design Studies (özellikle AI + design makaleleri): https://www.journals.elsevier.com/design-studies |
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. | ||||||
| 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. | ||||||
| 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 | ||||||
| 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. | ||||||
| 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 | ||||||
| 26 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Skill-Cognitive, Applied): Understanding the relationships between environment, structure and human health and creating solutions to related design problems. | ||||||
| 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 | ||||||
| 28 | ENVIRONMENT, STRUCTURE, HUMAN HEALTH (Capabilities-Learning Capability): Competence in researching theoretical and applied information systems on environment, structure and human health | ||||||
| 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 | |