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259.020 Fundamentals of Algorithmic Design
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2024W, VU, 2.0h, 2.5EC

Properties

  • Semester hours: 2.0
  • Credits: 2.5
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to identify and utilise algorithmic processes commonly used in data-driven design processes. Widely used parametric design methods will be presented in the course. Students will learn how to implement algorithmic design processes with an example of simple building geometry and an exemplary building facade.

Topics:

  • Introduction to algorithmic design approaches in architecture
  • Examples of algorithmic methods to support architectural designers
  • Role of optimisation algorithms in architectural design

Subject of course

The course will provide fundamental knowledge of algorithmic design. Lectures and exercises will focus on the introduction to algorithmic design and examples of algorithmic processes in Grasshopper, such as generative algorithm, optimization algorithm etc.

Teaching methods

Content will be delivered through lectures, discussions, in-class hand-on work and homework assignments. The performance assessment is carried out in written and oral form.

Mode of examination

Immanent

Additional information

+++Mandatory introductory course in the first semester of the Master Curriculum Building Sciences and Environment+++

+++Course can only be attented by Students enrolled in the programme+++

+++Lecture in english language.+++

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed09:00 - 10:0002.10.2024Seminarraum AE U1 - 5 Kick-Off Winterterm Master of Building Sciences and Environment
Mon14:00 - 16:0007.10.2024 - 27.01.2025Seminarraum AE U1 - 5 Reservation for 259.020 Fundamentals of Algorithmic Design
Mon14:15 - 15:3014.10.2024 - 20.01.2025 Zoom MeetingOnline Meeting
Fundamentals of Algorithmic Design - Single appointments
DayDateTimeLocationDescription
Wed02.10.202409:00 - 10:00Seminarraum AE U1 - 5 Kick-Off Winterterm Master of Building Sciences and Environment
Mon07.10.202414:00 - 16:00Seminarraum AE U1 - 5 Reservation for 259.020 Fundamentals of Algorithmic Design
Mon14.10.202414:00 - 16:00Seminarraum AE U1 - 5 Reservation for 259.020 Fundamentals of Algorithmic Design
Mon14.10.202414:15 - 15:30 Zoom MeetingOnline Meeting
Mon21.10.202414:00 - 16:00Seminarraum AE U1 - 5 Reservation for 259.020 Fundamentals of Algorithmic Design
Mon21.10.202414:15 - 15:30 Zoom MeetingOnline Meeting
Mon28.10.202414:00 - 16:00Seminarraum AE U1 - 5 Reservation for 259.020 Fundamentals of Algorithmic Design
Mon28.10.202414:15 - 15:30 Zoom MeetingOnline Meeting
Mon04.11.202414:00 - 16:00Seminarraum AE U1 - 5 Reservation for 259.020 Fundamentals of Algorithmic Design
Mon04.11.202414:15 - 15:30 Zoom MeetingOnline Meeting
Mon11.11.202414:00 - 16:00Seminarraum AE U1 - 5 Reservation for 259.020 Fundamentals of Algorithmic Design
Mon11.11.202414:15 - 15:30 Zoom MeetingOnline Meeting
Mon18.11.202414:00 - 16:00Seminarraum AE U1 - 5 Reservation for 259.020 Fundamentals of Algorithmic Design
Mon18.11.202414:15 - 15:30 Zoom MeetingOnline Meeting
Mon25.11.202414:00 - 16:00Seminarraum AE U1 - 5 Reservation for 259.020 Fundamentals of Algorithmic Design
Mon25.11.202414:15 - 15:30 Zoom MeetingOnline Meeting
Mon02.12.202414:00 - 16:00Seminarraum AE U1 - 5 Reservation for 259.020 Fundamentals of Algorithmic Design
Mon02.12.202414:15 - 15:30 Zoom MeetingOnline Meeting
Mon09.12.202414:00 - 16:00Seminarraum AE U1 - 5 Reservation for 259.020 Fundamentals of Algorithmic Design
Mon09.12.202414:15 - 15:30 Zoom MeetingOnline Meeting

Examination modalities

The performance assessment is carried out in written, oral and/or examination-immanent form.

Course registration

Begin End Deregistration end
25.09.2024 00:01 21.10.2024 23:59 21.10.2024 23:59

Precondition

The student has to be enrolled for at least one of the studies listed below

Curricula

Study CodeObligationSemesterPrecon.Info
066 444 Building Sciences and Environment Mandatory

Literature

No lecture notes are available.

Previous knowledge

No prior knowledge of Grasshopper is required, however, it is expected that students invest time and effort in a self-directed manner into acquiring working knowledge, utilising the wide choice of existing video tutorials on the Rhinoceros 3D / Grasshopper websites and the World Wide Web (will be recommended)

Miscellaneous

  • Attendance Required!

Language

English