Mathematical Generative Artificial Intelligence

Undergraduate | 2026

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Area/Catalogue
ARTI 1000
Course ID icon
Course ID
200069
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
1
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

This course covers the mathematical foundations of generative artificial intelligence as well as modern approaches using deep learning to generate synthetic media.

  • Foundations
  • Deep Genai
  • State-Of-The-Art

Course learning outcomes

  • Describe modern generative AI techniques and connect it with the underlying mathematical principles
  • Demonstrate an understanding of how deep learning is used in generative AI and how it can be deployed in real-world applications
  • Demonstrate skills in deploying generative algorithms using computer programming of both traditional and modern techniques
  • Apply mathematical techniques to solve a variety of problems that underly generative AI at an appropriate level of difficulty
  • Demonstrate skills in communicating about generative AI using both mathematics and English, including ethical considerations

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A