CSC 261 Data and Knowledge Representation

Explores how data is structured for AI systems: feature engineering, representation learning, graph structures, ontologies, and embeddings. Includes a strong treatment of data preparation, cleaning, and ethical considerations around bias and fairness.

Credits

4

Prerequisite

CSC 260 Foundations of Artificial Intelligence (with a grade of "C" or better).

Offered

fall