B.Arch

AR3029: Artificial Intelligence in Design Process syllabus for B.Arch 2021 regulation (Professional Elective-VI)

Artificial Intelligence in Design Process detailed syllabus for Bachelor of Architecture (B.Arch) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the B.Arch students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Bachelor of Architecture 10th Sem scheme and its subjects, do visit B.Arch 10th Sem 2021 regulation scheme. For Professional Elective-VI scheme and its subjects refer to B.Arch Professional Elective-VI syllabus scheme. The detailed syllabus of artificial intelligence in design process is as follows.

Artificial Intelligence in Design Process

Course Objectives:

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Unit I

INTRODUCTION TO AI Introduction to Artificial Intelligence; Introduction to Internet of Things (IoT), Big Data, Machine Learning (MI), Block Chain, Etc.,

Unit II

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Unit III

DESIGN INTELLIGENCE SYSTEM Algorithm in Architecture; Data driven/informed process; Multi-Agent Design System; Automation in Design; Swarm Intelligence, Neural Networks, Morphogenetic, Self-Organising, Behavioural; Evolutionary and cognitive aspects;

Unit IV

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Unit V

STUDENT SEMINAR Application of AI in Architectural Projects/by Architects: Zaha Hadid Architects (ZHA), Foster + Partners, Buro Happold, Arup Group, Matias Del Campo, Sidewalk Labs/Delve, Regen Villages, Phil Bernstein, Etc.,.

Course Outcomes:

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Text Books:

  1. Architecture in the Age of Artificial Intelligence: An Introduction to AI for Architects, Neil Leach, Bloomsbury Visual Arts.
  2. The Routledge Companion to Artificial Intelligence in Architecture, Imdat As, Prithwish Basu, Routledge;
  3. Artificial Intelligence and Architecture, From Research to Practice, Stanislas Chaillou, Birkhauser.

Reference Books:

  1. Johnston, John, Cybernetics and the New Complexity of Machines, pp.27-62 in The Allure of the Machinic Life: Cybernetics, Artificial Life, and the New A.I, The MIT Press, 2008.
  2. Nicholas Negroponte, Soft Architecture Machines, MIT Press 1975. Pp.6-49.
  3. Michael Speaks, Design Intelligence, in Latent Utopias: Experiments within Contemporary Architecture (Graz, 2002), pp.73-76.
  4. Frazer J.H., The Cybernetics of Architecture: A Tribute to the Contribution of Gordon Pask, Kybernetes, Vol.20, No.5/6 2001, pp 641-651.
  5. Frazer J.H., The Architectural Relevance of Cybernetics, Systems Research, Vol 10, No.3, 1993, pp.43-48.
  6. Johnston, John, The New AI: Behaviour-based Robotics, Autonomous Agents, and Artificial Evolution, pp.27-64 in The Allure of the Machinic Life: Cybernetics, Artificial Life, and the New A.I., The MIT Press, 2008.
  7. Andrew Pickering, Grey Walter in the Cybernetic Brain: Sketches in Another Future, The University of Chicago Press, 2010.
  8. McCarthy, John., Minsky, L, Marvin., Rochester, Nathaniel., Shannon, E, Claude., A proposal for the dartmouth summer research project on artificial intelligence, august 31,1955., AI magazine, 27,(2006), 4, pp. 12-13.
  9. Carta, Silvio., Big data, code and the discrete city: shaping public realms, Routledge, London, UK, 2019.
  10. Bini, Stefano, A., Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care?, The Journal of arthroplasty, 33, (2018), 8, pp. 2358-2361.
  11. Silver, David., Schrittwieser, Julian., Simonyan, Karen., Antonoglou, Ioannis., Huang, Aja.,Guez, Arthur., Hubert, Thomas., et al. Mastering the game of go without human knowledge, Nature, 550, (2017), 7676, pp. 354-359.
  12. Cellan-Jones, Rory, Stephen Hawking warns artificial intelligence could end mankind /03.03.2020 / BBC, https://www.bbc.com/news/technology-30290540.
  13. Morel, Philippe., The Origins of Discretism: Thinking Unthinkable Architecture, Architectural Design, 89, (2019), 2, pp.14-21.
  14. Cudzik, Jan., Radziszewski, Kacper., Artificial Intelligence Aided Architectural Design, Computing for a better tomorrow, proceedings of eCAADe Education and Research in Computer Aided Architectural Design in Europe conference, eCAADe 2018, Lodz, Poland,2018, pp. 77-84
  15. Holmes, Aaron, AI could be the key to ending discrimination in hiring, but experts warn itcan be just as biased as humans / 03.03.2020 / Business insider,https://www.businessinsider.com/ai-hiring-tools-biased-as-humans-experts-warn-2019-10?IR=T
  16. Gallo, Giuseppe., Wirz, Fulvio., Tuzzolino, G, Francesco., Architects as tool consumers: discovering trends in software and programming languages for architecture with google trends, Archtheo 19, proceedings of Dakam Archtheo conference, Archtheo 19, Istanbul,Turkey, 2019, pp. 197-206.
  17. Davis, Daniel., Evaluating Buildings with Computation and Machine Learning, Posthuman frontiers: data, designers and cognitive machines, proceedings of ACADIA Association for Computer Aided Design in Architecture conference, ACADIA 2016, AnnArbor, USA, 2016, pp. 116-123.
  18. Bonabeau, E., DORIGO, M and THERAULAZ, G 1999,Swarm Intelligence: From Natural to Artificial Sys-tems., Oxford University Press, New York;

For detailed syllabus of all the other subjects of Bachelor of Architecture 10th Sem, visit B.Arch 10th Sem subject syllabuses for 2021 regulation.

For all Bachelor of Architecture results, visit Anna University B.Arch all semester results direct link.

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