Information Package

Master's of Interior Architecture and Environmental Design without Thesis

IAED565

DIGITAL INTERIOR DESIGN

Course Code
IAED565
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. will learn the possibilities that parametric design and algorithmic design concepts bring to interior design.
  2. They will learn how to use all building-related data in interior design through digital design.
  3. They will learn, both theoretically and practically, how all building-related data can be used as a source of form through digital design.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme Components
Course DescriptionThe aim of the course is to investigate the relationship of digital architecture concepts such as algorithmic design and parametric design with interior design theoretically and practically. The aim of the course is to investigate the relationship of digital architecture concepts such as algorithmic design and parametric design with interior design theoretically and practically. It is expected that the information that forms the basis of digital design will be digitally reflected and interpreted in the interiors within the framework of a contemporary design approach. Examining the relations of interior architecture with different disciplines is also among the objectives of this course
Course Contents
WEEK TOPICS
1st Week DIGITAL ARCHITECTURE THEORY
2nd Week DIGITAL ARCHITECTURE THEORY-CURRENT DIGITAL ARCHITECTURE
3rd Week ALGORITHMIC AND PARAMETRIC DESIGN, PARAMETRIC MODELING AND PARAMETRIC GEOMETRIC
4th Week PARAMETRIC DESIGN: SIMILARS, DIFFERENCES AND PROCESSES
5th Week PARAMETRIC ARCHITECTURAL DESIGN DEFINITIONS AND POSSIBLE PROBLEM AREAS
6th Week CODE WRITING-INTRODUCTION- TERM PROJECT SUBMITTING
7th Week CODE WRITING-INTRODUCTION- TERM PROJECT SCENARIO SUBMITTING
8th Week PARAMETRIC MODELING AND SYSTEMS
9th Week MIDTERM
10th Week CAD/BIM RELATIONSHIP IN PARAMETRIC ARCHITECTURAL DESIGN-PROJECT PRESENTATION
11th Week ARCHITECTURE-INTERACTION DESIGN-PROJECT DELIVERY
12th Week RELATIONAL GEOMETRY
13th Week ENVIRONMENTAL CONDITIONS -GEOMETRIC RELATIONSHIP-PROJECT PRESENTATION
14th Week ENVIRONMENTAL CONDITIONS -GEOMETRIC RELATIONSHIP-PROJECT PRESENTATION
Recommended or Required ReadingBurry, Mark (2011). Scripting Cultures: Architectural Design and Programming, AD Primer, West Sussex, UK.:John Wiley and Sons.
Oxman,R.,Oxman,R.(2014).Theories Of The Digital in Architecture, Cornwall :TJ Int.Limited
Schumacher,P.(2013.,Parametric Semiology ? The Design of Information Rich Environments, on P. L. Eiroa & A.Sprecher ,Architecture in Formation? On the Nature of Information in Digital Architecture
Terzidis, K.(2003). Expressive Form: A Conceptual Approach to Computational Design, London:Spon Press.
Mitchell, W. & McCullough, M. Digital Design Media (Architecture) (NY: John Wiley), 1994.
Beckmann, J. (ed.), The Virtual Dimension (NY: Princeton Arch. Press), 1998.
Benedikt, M. Cyberspace: First Steps (Cambridge:The MIT Press), 1999.
Lynn, G., Animate Form, (NY: Princeton Arch. Press), 1999.
Engeli, M. Bits and Spaces (Zurich: Birkhauser), 2001.
Rahim, A., Contemporary Techniques in Architecture (Architectural Design: Academy Press), 2002.
Liearopoulos-legendre, G. The book of surfaces, (Architectural Association), 2003
Reeser,A., Schafer, A., New Technologies, new architectures (Praxis, praxis) 2004
Kolarevic, B. (ed.), Architecture in the Digital Age: Design and Manufacturing (NY: Taylor & Francis), 2005.
Terzidis, K. Algorithmic Architecture (Arch. Press), 2006.
Rahim,A., Catalytic Formations (NY: Taylor&Francis), 2006
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Practice
  • Project
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 20
Project 2 20
Total(%) 20
Contribution of In-term Studies to Overall Grade(%) 20
Contribution of Final Examination to Overall Grade(%) 80
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 3 3
Preparation for Quiz 0 0 0
Individual or group work 14 12 168
Preparation for Final exam 0 0 0
Course hours 12 3 36
Preparation for Midterm exam 1 10 10
Laboratory (including preparation) 0 0 0
Final exam 1 3 3
Homework 1 8 8
Article 9 5 45
Weekly Articles and Resource Research 9 3 27
Total Work Load300
Total Work Load / 30 (h)10
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3
K1 X X X
K2
K3
K4 X X X
K5
K6
K7
K8
K9
K10