PAPATHEODOROU, Theodoros - HKUST Class Schedule & Quota

Class Schedule & Quota
2024-25 Fall 2023-24 Summer 2023-24 Spring 2021-22 Winter
2024-25 Fall
Common Core Course
The class information on this page will normally be updated every 15 to 20 minutes during class enrollment period.
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COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	As Machine Learning (ML) permeates numerous aspects of culture, industry, and scholarship, it is crucial for the next generation of computational artists to be ML-literate, possessing the ability to critically evaluate and apply this rapidly evolving technology. Through hands-on experience with cutting-edge ML tools, students will hone their skills in this domain and establish critical perspectives on the strengths and limitations of current methods. This course employs free, open-source ML toolkits, enabling students to become familiar with various classification and regression models, RNNs, Convolutional Neural Networks, Transfer Learning, large language models, Text-to-Image generators, and more, for the purpose of implementing art projects. Each week, pertinent computational artworks utilizing various techniques are introduced, analyzed, and discussed.

VECTOR

[3-0-0:3]

DESCRIPTION

As Machine Learning (ML) permeates numerous aspects of culture, industry, and scholarship, it is crucial for the next generation of computational artists to be ML-literate, possessing the ability to critically evaluate and apply this rapidly evolving technology. Through hands-on experience with cutting-edge ML tools, students will hone their skills in this domain and establish critical perspectives on the strengths and limitations of current methods. This course employs free, open-source ML toolkits, enabling students to become familiar with various classification and regression models, RNNs, Convolutional Neural Networks, Transfer Learning, large language models, Text-to-Image generators, and more, for the purpose of implementing art projects. Each week, pertinent computational artworks utilizing various techniques are introduced, analyzed, and discussed.

CMAA 5019 - Machine Learning for the Arts (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6081)	Tu 01:30PM - 04:20PM	Rm 102, W1	PAPATHEODOROU, Theodoros	30	28	2	0