MIM232 Artificial Intelligence Applications in Architectural DesignInstitutional InformationDegree Programs ArchitectureInformation For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Architecture

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: MIM232
Course Name: Artificial Intelligence Applications in Architectural Design
Course Semester: Fall
Course Credits:
ECTS
4
Language of instruction:
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Area Ellective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi SERKAN YAŞAR ERDİNÇ
Course Lecturer(s): Dr. Serkan Yaşar Erdinç
Course Assistants:

Course Purpose and Content

Course Objectives: Within the scope of the course, students will use the artificial intelligence tools acquired in the course. skills, production/design, evaluation/analysis and feedback in the fields of architecture It is expected to assist in notification processes.
Course Content: Students will learn the basic concepts of artificial intelligence within the scope of the presentations. They will explore the most advanced applications of artificial intelligence at various scales.

Learning Outcomes

The students who have succeeded in this course;
1) At least one basic software required for artificial intelligence in architecture they will be able to use.
2) Those who will be able to master the processes of creating systems required for the use of artificial intelligence in architecture

Course Flow Plan

Week Subject Related Preparation
1) Introduction, Explaining the approach to the course, Explaining what is expected from the student. None
2) Basic concepts of artificial intelligence None
3) Artificial intelligence development and history None
4) Informatics in Architecture None
5) Basic Algorithms and Models, Data Types Used in AI Applications and Sources None
6) Use of AI in Architectural Design, Building Analysis and Simulations with Artificial Intelligence Sample Projects and Case Studies None
7) Fundamentals of Algorithmic Design, Parametric and Generative Design Approaches None
8) Midterm Week None
9) BIM (Building Information Modeling) and AI Integration None
10) The Role of AI in Sustainable Design None
11) Students present their end-of-term project proposals None
12) Use of AI in urban data analysis optimization, transportation and infrastructure planning None
13) Using Virtual Reality (VR) and Augmented Reality (AR) None
14) Repetition of semester courses. Preparation and control of presentations before the final exam None

Sources

Course Notes / Textbooks: Artificial Intelligence and Architecture: From Research to Practice, Stanislas Chaillou Birkhäuser May 31, 2022,
Ara sunumlar için öğrencilere çeşitligörsel ve yazılıkaynaklar sunulacaktır.
References: Artificial Intelligence and Architecture: From Research to Practice, Stanislas Chaillou Birkhäuser May 31, 2022,
Various visual and written resources will be provided to students for interim presentations.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Research and Critical Thinking Skills: The ability to access information, evaluate it, record it, apply it, use it to express abstract ideas, evaluate opposing views, and test it with criteria and standards such as reaching well-questioned conclusions
2) Graphic Expression Skill: Ability to formally express each stage of the programming and design process using a variety of techniques, including two and three-dimensional hand drawings and computer technologies, to make appropriate presentations 3
3) Legal Responsibilities, Ethical and Professional Provisions: To understand the legal responsibilities of the architect in matters affecting design such as property rights, zoning and settlement regulations, user rights for public health, safety and welfare
4) Having Knowledge About World Architectural History: Understanding the rules of world and local architecture in architecture, landscape and urban design, and the climatic, technological, socio-economic, cultural factors and effects of historical heritage that shape and sustain these
5) Environmental Systems and Sustainable Design: To understand the basic principles in the design of environmental systems and to be able to protect artificial resources and create healthy buildings and settlements in architectural and urban design decisions of sustainability
6) Formal Composition and Design Skills: Understanding the formation, development and applications of visual perception and arrangement systems in architectural and urban design and the ability to apply basic architectural principles at the level of building, interior and settlement design 2
7) Load-bearing Systems: Understanding the principles of behavior of structures standing with vertical and lateral forces and the development and applications of contemporary load-bearing systems
8) Building Materials and Applications: Understanding the principles and standards regarding the production, use and applications of building materials and components
9) Construction Management and Application Skills: Understanding the basic principles of office organization, business planning, marketing, financial management, project management, risk reduction and leadership, and the issues of globalization, expanding application area and diversity that affect the profession

Learning Activity and Teaching Methods

Course
Homework
Uygulama (Modelleme, Tasarım, Maket, Simülasyon, Deney vs.)

Measurement and Evaluation Methods and Criteria

Homework
Uygulama

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Workload
Course Hours 13 52
Study Hours Out of Class 14 56
Midterms 1 4
Final 1 4
Total Workload 116