Artificial Intelligence Enabled Methods for Research & Creative Practice

University Curriculum: University Curriculum

Non-Liberal Arts
Graduate Course
Degree Students
AI for Research and Practice
Spring 2024
Taught By: Mark Bechtel
Section: A

CRN: 14718

Credits: 3

This transdisciplinary course will introduce student scholars and creative practitioners to accessible research tools and methods that are enabled by Artificial Intelligence (AI) techniques from beginner to advanced levels through project-based learning. A new generation of professionals are expanding the boundaries of research and creative practice by using artificial intelligence. Semantic analysis, social media API, computer vision, GPT-3 applications, virtual reinforcement learning, and agent-based modeling empower scholars to gain useful insights from a previously inaccessible domain. Pioneering designers are exploring new methodologies for professional practice using AI in combination with physics simulators for constraint-based computational modeling, and machine learning has been applied to streamline workflows and production technologies for mass customized design outcomes. Artists have explored a range of AI applications from the visual galaxies of historical semantic change based on billions of text to creating hypnotic and responsive media installations. This course explores the readiness for research and creative practice with AI more deeply across disciplines through applied learning and critical reflection. Advanced lessons will utilize the Rhino CAD program and Grasshopper plugin.

College: University Curriculum (UL)

Department: University Curriculum (UNIV)

Campus: New York City (GV)

Course Format: Studio (S)

Modality: In-Person

Max Enrollment: 18

Add/Drop Deadline: February 4, 2024 (Sunday)

Online Withdrawal Deadline: April 16, 2024 (Tuesday)

Seats Available: Yes

Status: Closed*

* Status information is updated every few minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 5:54pm EDT 7/12/2024

Meeting Info:
Days: Wednesday
Times: 12:10pm - 2:50pm
Building: 66 5th Ave
Room: 005
Date Range: 1/24/2024 - 5/8/2024