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Programming 2 - Generative and Algorithmic Design (5 ECTS)

Code: KD00DM85-3002

General information


Enrollment
01.05.2021 - 31.08.2021
Registration for the implementation has ended.
Timing
25.10.2021 - 09.11.2021
Implementation has ended.
Number of ECTS credits allocated
5 ECTS
Virtual portion
1 ECTS
Mode of delivery
On-campus and online
Unit
(2019-2024) School of Media, Design and Conservation
Teaching languages
Finnish
Degree programmes
Design
Media Communication
Teachers
Turkka Loimisto
Teacher in charge
Turkka Loimisto
Course
KD00DM85
No reservations found for implementation KD00DM85-3002!

Objective

After completing this course, students know the concepts and methods of generative and algorithmic design. Students are able to use generative and algorithmic modeling software in their design work and utilize the modeling data in manufacturing products and producing XR content. Students recognize the future possibilities and research applications of artificial intelligence in modeling.

Content

During the course students will familiarize themselves with algorithmic 3D modeling.

- generative and algorithmic modeling
- history of generative and algorithmic modeling
- examples of the utilisation of generative design
- artificial intelligence in modeling and related future visions

Teaching methods

Opintojakson sisältö
Opintojaksolla syvennetään Ohjelmointi-kurssilla hankittua ohjelmointiosaamista

- XR-sovelluksissa yleisimmin käytettävät ohjelmointityökalut
- pelimoottoreissa yleisimmin käytettävät ohjelmointityökalut
- vaativampien toiminnallisuuksien ohjelmointi

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Attendance in classes. Completing assignments. Inadequacies in completing assignments.

Assessment criteria, good (3)

Active participation in classes. The ability to apply theory into practice. Good performance in completing assignments.

Assessment criteria, excellent (5)

Active participation in classes. The ability to apply theory into practice. Excellent performance in completing assignments.

Assessment criteria, approved/failed

Attendance in classes. Completing assignments. Inadequacies in completing assignments.

Qualifications

The student advisor will recommend additional studies for each student based on their individual study plan.

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