Natural Language Processing for Complex Systems in Science. 3 credits

Catalog description

This course focuses on the fundamentals of Natural Language Processing (NLP), Natural Language Understanding (NLU) and Large Language Models (LLMs), comparatively or coupled with other computational sciences methods used in modeling, such as agent-based modeling, audio and image processing, network and biological sequence analyses, property prediction of chemical compounds, and knowledge representation in science. It teaches topic modeling, topic2vec, speech recognition, grouping and categorization strategies, and more as applied to complex systems in science. Offered by Computational & Data Sciences . May not be repeated for credit.