Start semester
40 408 Data & Analysis
Emnenavn på Norwegian Bokmål:
Data & analysis
Credits:
6
Course code:
40 408
Level of study:
Master
Teaching semester:
2018 Spring
Assessment semester:
2018 Spring
Language of instruction:
English
Year:
2018
Maximum number of students:
12
Person in charge
Michael Ulrich Hensel
Søren S. Sørensen
Required prerequisite knowledge
Prerequisites: Completed Bachelor studies, Basic Knowledge in Rhino.
Recommended: Working skills in computational modelling and visualization.
[The course is only available for students in the Embedded Architectures 2 Studio course of the RCAT | ACDL group.]
Course content
The elective course will introduce approaches, concepts and skills related to information-based design. This course includes lectures and seminars focusing on introducing the practice-oriented approach pursued by the RCAT | ACDL group, as well as an intense skill building boot-camp that focuses on associative modelling, local data-collection and analysis.
Learning outcome
Knowledge:
At the end of the course the student will have gained knowledge in a specific practice-oriented approach to information-based design.
Skills:
The student will have gained skills in data-collection and utilization in computational design with specific focus on the Rhino and Grasshopper environment.
General competence:
After successful completion of the course students are expected to have gained good working knowledge in information-based design and the ability to utilize this knowledge in a design project.
Working and learning activities
1. Lectures on selected topics regarding information-based design.
2. Tutorials on an individual and group basis concerning skill-building in data-collection and utilization in computational design.
Note: All instructions are based on active participation by the students and 90 % attendance.
Delivery: Portfolio of work process including visualization of collected data and utilization of the data in the design of the studio project.
Curriculum
The elective course will be run as a series of workshops.
| Form of assessment | Grouping | Grading scale | Comment |
|---|---|---|---|
| Portfolio assessment (Vurderingsmappe) | Individual | Pass / fail |
| Workload activity | Comment |
|---|---|
| Workshops | |
| Attendance | We expect presence in each class |