Duration
40h Th
Number of credits
| Master in architecture (120 ECTS) | 5 crédits |
Lecturer
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
In this course, we invite students to manipulate numerical processes through the visual programming of parametric models and to question the permeability of these processes designed with real-world data, such as through the use of sensors, digital manufacturing machines (fab lab), or data from open data, among others.
Learning outcomes of the learning unit
Based on project-based learning, this teaching is oriented to support students' research on digital processes. In order to provide students with the necessary theoretical and practical input, the teaching is delivered through different means and sources of information: theoretical contents, expert interventions, exercises and tutorials.
Prerequisite knowledge and skills
A good knowledge of computer graphics and 3D modeling is required.
Planned learning activities and teaching methods
Throughout the course, students will be required to develop a research question. In groups, they will be asked to formulate and explore a digital question. The challenge is to enable students to appropriate the knowledge and techniques covered in the course and to develop a critical and enlightened view of digital architecture.
Through regular group presentations, the teaching aims to bring students to understand and explore the different potentialities of the tools and to open up the possibilities.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face
Organisational adjustments related to the current health context
>> Course modality in "yellow " COVID context:
The courses are run on site, with a live broadcast on ecampus-collaborate. Course materials (and recordings when possible) are available on ecampus.
The evaluation modalities for a "yellow" situation are as follow:
- Continuous evaluation of theoretical knowledge with "quizzes" available on ecampus
- Final evaluation of a report presented in class
>> Course modality and evaluation in "orange " COVID context are the same as in "yellow" COVID context. The final evaluation will be organized on ecampus-collaborate.
Recommended or required readings
Lecture notes and presentations are available on Ecampus. Recommended bibliographical references are :
- Deutsch, R. (2019) Superusers. Routledge
- Picon, Antoine. Culture numérique et architecture. Bâle: Birkhäuser, 2010
- Pottmann, H. (2007), Architectural geometry, Bentley Institute press
- Tedeschi, A., & Wirz, F. (2014). AAD - Algorithms-Aided Design: Parametric strategies using Grasshopper (First edition). Le Penseur publisher.
- Woodbury, R. (2010). Elements of parametric design. Routledge.
- Bohnacker, H., Gross, B., Laub, J., & Lazzeroni, C. (2012). Generative design: Visualize, program, and create with processing. Princeton Architectural Press.
- Carpo, M. (2017). The second digital turn: Design beyond intelligence. The MIT Press.
- Ko, J., & Steinfeld, K. (2018). Geometric computation: Foundations for design. Routledge.
- Petzold, C. (1999). Code: The hidden language of computer hardware and software. Microsoft Press.
- Reas, C., & Fry, B. (2007). Processing: A programming handbook for visual designers and artists. MIT Press.
- Shiffman, D. (2012). The nature of code: Simulating natural systems with processing (Version 1.0, generated December 6, 2012). Selbstverl.
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
Any session :
- In-person
oral exam
- Remote
oral exam
- If evaluation in "hybrid"
preferred remote
Additional information:
Two types of evaluations are expected. A continuous evaluation with the submission of exercises during certain sessions and a final evaluation following the development of personal projects that will be completed and presented to the jury by groups.
Work placement(s)
Organizational remarks
Contacts
Teachers:
Aurélie de Boissieu
Aurelie.deBoissieu@uliege.be
Sylvie Jancart
Sylvie.jancart@uliege.be
Assistant:
Thomas Dissaux
tdissaux@uliege.be