FM2ARVP75 Visual Programming
FM2ARVP75 Visual Programming
- Course description
- Course codeFM2ARVP75
- Level of study5.2
- Program of studyTechnical Design Building Information modelling BIM
- Credits7.5
- Course coordinatorCarlos Henriquez
The course provides knowledge and skills with visual programming to extract and manipulate data and geometry within the design software. Candidates are provided skills to develop Dynamo scripts to automate and optimize tasks and workflows. The course also explores parametric design and how visual programming can be used to generate geometry. Candidates are introduced to practical problem-solving and methods to improve project efficiency. The course builds on competence from Building Methodology and Concept Modelling.
The aim of the course is to provide candidates competence to automate repetitive tasks and workflows through visual programming. This is an important part of digital building projects and a valuable and necessary skill in the industry, as it enables reduced production time and improved project efficiency.
The candidate:
- has knowledge of concepts, processes and tools that are used in visual programming.
- has knowledge of processes and tools that are used in visual scripts to filter and sort data from building models.
- can assess his/her own scripts to improve project efficiency.
- is familiar with problem-solving methodology in relation to visual programming.
- has insight into his/her own opportunities for generating complex geometry using visual programming.
The candidate:
- is familiar with relevant tools and techniques to create scripts using visual programming.
- can reflect over his/her own scripts to automate tasks and workflows.
- can reflect over his/her ability to apply practical problem-solving and methods to improve project efficiency.
- can find and refer to information on visual programming and assess its relevance to the development of visual scripts.
The candidate:
- can find and solve modelling issues through visual programming.
- can plan and carry out data manipulation and development of visual scripts.
- can exchange points of view with peers and participate in discussions about workflows and automated processes.
In this course, the following teaching and learning methods can be applied, but are not limited to:
- Lecture: Educator-led presentations or activities providing knowledge, skills, or general competencies in the subject area.
- Group work: Collaborative activities where students work together to solve problems or complete tasks.
- Tutoring: One-on-one or small group sessions with an instructor for personalized guidance and support.
- Student presentations: Opportunities for students to demonstrate their understanding of course material by presenting to peers.
- Online lessons: Digital content delivered via an online learning platform.
- Guidance: Individualized advice and direction from instructors to support students in their learning journey.
- Workshops: Practical sessions focused on hands-on application of theoretical concepts or skills.
- Self-study: Independent study where students engage with course material on their own without any teacher support.
| Form of assessment | Grading scale | Grouping | Duration of assessment |
|---|---|---|---|
Course Assignment | Pass / Fail | 1 Week(s) |