MIM5000 Architecture and Technology DiscussionsIstinye UniversityDegree Programs Architectural Design (Master) (with Thesis)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Architectural Design (Master) (with Thesis)

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Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code: MIM5000
Course Name: Architecture and Technology Discussions
Semester: Fall
Spring
Course Credits:
ECTS
6
Language of instruction: Turkish
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Master TR-NQF-HE:7. Master`s Degree QF-EHEA:Second Cycle EQF-LLL:7. Master`s Degree
Mode of Delivery: E-Learning
Course Coordinator: Prof. Dr. ARZU ERDEM
Course Lecturer(s): Mehmet Sarper Takkeci
Course Assistants:

Course Objective and Content

Course Objectives: The course aims to develop a critical view of information and computational technologies from a historical and social perspective. The course also aims to introduce the necessary concepts to understand the developments in information technology and computing. It aims to develop a critical understanding of hybrid practices and creative practices that expand in relation to the aforementioned concepts. In general and in the context of architecture; It is aimed to make epistemological and social analyzes of technology on the axis of data, body, intelligence, network, community and reality.
Course Content: The course focuses on information and computational technologies as a fundamental concept in contemporary architecture and other design fields. The course will examine theories and practices that respond to the connected transformations in our concepts of the computer revolution, cybernetics, artificial intelligence and design, creativity, nature, body, place and reality.

Learning Outcomes

The students who have succeeded in this course;
1) Developing a critical view of technology and examining the technology-society relationship
2) Developing an understanding of current concepts in the field of information technology and computing
3) Develop a critical understanding of practice and creative practices related to cybernetics, artificial intelligence and design, creativity, nature, body, place and reality

Course Flow Plan

Week Subject Related Preparation
1) Introduction / Course Description
2) Technology, Information and Computing Technologies Architecture as a Complex Information Machine Ifrah, Georges, The Universal History of Computing - From Abacus to Quantum Computing
3) Technology discussions around data Cybernetics and Systems Thinking Pask, Gordon, The Architectural Relevance of Cybernetics
4) Technology discussions on the axis of the body Cybernetic Organism (Cyborg), Hybrid Mitchell, William J. , Me++: The Cyborg Self and the networked city
5) Technology discussions on the axis of intelligence 1 Computational Theory of Mind Dennett, Daniel, Consciousness Explained
6) Technology discussions on the axis of intelligence 2 Architecture and Artificial Intelligence Applications Alpaydın, Ethem, Yapay Öğrenme
7) Technology discussions on the axis of intelligence 3 Leach, Neil, Do Robots Dream of Digital Buildings?
8) Study: Concept Map 1
9) Technology discussions on the network axis Digital Autonomous Communities, Blockchain, Smart Networks Sanchez, Jose, Architecture for the Commons: Participatory Systems in the Age of Platforms
10) Technology discussions on the axis of the community Open source, Sharing Economy Fok, Wendy ve Picon, Antoine, Digital Property: Open-Source Architecture
11) Technology discussions on the axis of reality 1 Virtual Reality, Experience Machine Chalmers, David, Spatial Experience and Virtual Reality
12) Technology discussions on the axis of reality 2 Mixed Reality, Metaverse Nevelsteen, Kim J.L., Virtual world, defined from a technological perspective and applied to video games, mixed reality, and the Metaverse
13) Study: Concept Map 2
14) Student Presentations

Sources

Course Notes / Textbooks: Ifrah, Georges, The Universal History of Computing - From Abacus to Quantum Computing
Pask, Gordon, The Architectural Relevance of Cybernetics
Mitchell, William J. , Me++: The Cyborg Self and the networked city
Dennett, Daniel, Bilinç Açıklanıyor
Alpaydın, Ethem, Yapay Öğrenme
Leach, Neil, Do Robots Dream of Digital Buildings?
Sanchez, Jose, Architecture for the Commons: Participatory Systems in the Age of Platforms
Fok, Wendy ve Picon, Antoine, Digital Property: Open-Source Architecture
Chalmers, David, Spatial Experience and Virtual Reality
References: Ifrah, Georges, The Universal History of Computing - From Abacus to Quantum Computing
Pask, Gordon, The Architectural Relevance of Cybernetics
Mitchell, William J. , Me++: The Cyborg Self and the networked city
Dennett, Daniel, Bilinç Açıklanıyor
Alpaydın, Ethem, Yapay Öğrenme
Leach, Neil, Do Robots Dream of Digital Buildings?
Sanchez, Jose, Architecture for the Commons: Participatory Systems in the Age of Platforms
Fok, Wendy ve Picon, Antoine, Digital Property: Open-Source Architecture
Chalmers, David, Spatial Experience and Virtual Reality

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

Program Outcomes
1) To see architecture as a transdisciplinary intellectual and critical field 2 2 3
2) To develop the ability to express architectural thought with appropriate terminology, verbally and in writing. 1 3 2
3) To learn and use the necessary tools to share the results of their research and current developments in architectural design with different groups in different platforms. 1 2
4) To develop the ability to discuss current design problems and propose creative solutions. 3 2 3
5) To follow, understand and apply current research methods in architectural design and to produce new research methods. 2 2 2
6) To evaluate new technical/technological developments in terms of architecture, to recognize hybrid applications and creative practices and to develop a critical perspective. 3 3 3
7) To develop approaches to transform new mathematical thinking into practice in architecture. 1 2
8) To be able to independently design and conduct research processes based on data collection, interpretation and announcement in the field of architectural design, within the framework of ethical values and rules
9) To be able to independently carry out a work that requires expertise in architectural design, to be a leader in environments that require solving problems related to architectural design. 2

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) To see architecture as a transdisciplinary intellectual and critical field 3
2) To develop the ability to express architectural thought with appropriate terminology, verbally and in writing. 2
3) To learn and use the necessary tools to share the results of their research and current developments in architectural design with different groups in different platforms. 2
4) To develop the ability to discuss current design problems and propose creative solutions. 3
5) To follow, understand and apply current research methods in architectural design and to produce new research methods. 2
6) To evaluate new technical/technological developments in terms of architecture, to recognize hybrid applications and creative practices and to develop a critical perspective. 3
7) To develop approaches to transform new mathematical thinking into practice in architecture. 3
8) To be able to independently design and conduct research processes based on data collection, interpretation and announcement in the field of architectural design, within the framework of ethical values and rules 2
9) To be able to independently carry out a work that requires expertise in architectural design, to be a leader in environments that require solving problems related to architectural design. 3

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 10
Homework Assignments 2 % 50
Presentation 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 100
PERCENTAGE OF FINAL WORK %
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Workload
Course Hours 14 42
Study Hours Out of Class 14 110
Total Workload 152