ARCH5009 Digital Paradigms in ArchitectureIstinye UniversityDegree Programs Architectural Design (Master) (with Thesis) (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Architectural Design (Master) (with Thesis) (English)

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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: ARCH5009
Course Name: Digital Paradigms in Architecture
Semester: Fall
Course Credits:
ECTS
6
Language of instruction: English
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: Face to face
Course Coordinator: Prof. Dr. ARZU ERDEM
Course Lecturer(s): Sarper Takkeci
Course Assistants:

Course Objective and Content

Course Objectives: The aim of the course is to develop computational design thinking in order to acquire a critical lens for the evaluation of digital tools. Focusing on the relationship between computational design theories and methods, the course will engage in an experiments that generate new design techniques.
Course Content: The course stems from the assumption that architects should not only be able to use the various digital tools available, but also need have the skills to create new critical and experimental design tools that answer specific design questions.

Within the scope of the course, there will be studies on the proposal and implementation of design-question-oriented customized digital workflows. These customized workflows will attempt to understand and answer a design problem piecemeal, in order to approach architecture and urban research in a bottom-up method.

Learning Outcomes

The students who have succeeded in this course;
1) Develop an understanding of computational thinking
2) Knowledge of computational design theories
3) Ability to use computational design methods

Course Flow Plan

Week Subject Related Preparation
1) Course Introduction
2) Introduction to Rhino & Grasshopper
3) Computation of geospatial data
4) GIS data visualization
5) Structure Generation & Modelling
6) Environmental Data Analysis
7) Interactive Computing (Arduino)
8) Image Processing
9) In-Class Work
9) In-Class Work
9) In-Class Work
9) In-Class Work
13) Final Project Pin-up
13) Final Project Pin-up

Sources

Course Notes / Textbooks: Dimitis Kottas, Contemporary Digital Architecture: Design and Techniques
References: Jenny Sabin, Meander
Mark Garcia, Diagrams of Architecture
Lars Spuybroek, Nox: Machining Architecture
George Stiny, Shape
Jason S. Johnson & Joshua Vermillon, Digital Design Exercises for Architecture Students
Oxman R. (2008) “Digital architecture as a challenge for design pedagogy: theory, knowledge, models and medium”
Lisa Iwamoto, Digital Fabrications: Architectural and Material Techniques
Marjan Colletti, Digital Poetics: An Open Theory of Design-Research in Architecture
Scott Marble, Digital Workflows in Architecture: Design – Assembly – Industry
Achim Menges and Sean Ahlquist, Computational Design Thinking

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) To develop the ability to express architectural thought with appropriate terminology, verbally and in writing.
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.
4) To develop the ability to discuss current design problems and propose creative solutions.
5) To follow, understand and apply current research methods in architectural design and to produce new research methods.
6) To evaluate new technical/technological developments in terms of architecture, to recognize hybrid applications and creative practices and to develop a critical perspective.
7) To develop approaches to transform new mathematical thinking into practice in architecture.
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.

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 3
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

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
total %
PERCENTAGE OF SEMESTER WORK % 0
PERCENTAGE OF FINAL WORK %
total %

Workload and ECTS Credit Calculation

Activities Number of Activities Workload
Course Hours 14 42
Study Hours Out of Class 14 126
Final 4 36
Total Workload 204