PAPATHEODOROU, Theodoros - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Fall 2024-25 Summer 2024-25 Spring 2021-22 Winter
2025-26 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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Notes & Links
This service was first adapted from a student contribution in 2011-12 Fall. The efforts of all concerned are duly acknowledged.

AIAA AMAT BSBE CMAA CNCC CNGF DLED DSAA EOAS FTEC FUNH INFH INTR IOTA IPEN LANG MICS MSSM PDEV PLED ROAS SEEN SMMG SOCH SYSH UCMP UCUG UFUG UGOD

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 (6085)	Th 10:30AM - 01:20PM	Rm 202, W4	PAPATHEODOROU, Theodoros	30	20	10	0

VECTOR	[1-3 credit(s)]
DESCRIPTION	An independent research project carried out under the supervision of a faculty member.

CMAA 6018A - Independent Study (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
R16 (6111)	TBA	No room required	PAPATHEODOROU, Theodoros	5	0	5	0	research topic: ML in the Arts Instructor Consent Required

COURSE INFO

ATTRIBUTES	Common Core: Broadening (Arts)
DESCRIPTION	This course introduces students to programming graphics and interaction for computational media and arts. Students learn the principles, algorithms, and coding frameworks for creating graphics and interaction with machines while also sharpening their sense of aesthetics. Each week, the relevant computational artworks employing these techniques are introduced, analyzed, and explored in practical assignments.

ATTRIBUTES

Common Core: Broadening (Arts)

DESCRIPTION

This course introduces students to programming graphics and interaction for computational media and arts. Students learn the principles, algorithms, and coding frameworks for creating graphics and interaction with machines while also sharpening their sense of aesthetics. Each week, the relevant computational artworks employing these techniques are introduced, analyzed, and explored in practical assignments.

UCUG 1505 - Creative Coding and Interactive Art (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L04 (6491)	We 10:30AM - 01:20PM	Rm 202, W2	PAPATHEODOROU, Theodoros	30	15	15	0