CSSE 315 - Natural Language Processing
- Credit Hours: 4R-0L-4C
- Term Available: F or W
- Graduate Studies Eligible: No
- Prerequisites: CSSE 230, and either MA 223 or MA 381
- Corequisites: None
This course offers foundational knowledge of Natural Language Processing, a vital element of modern AI systems. The core topics include the processing of linguistic data and feature engineering (NLP), language understanding (NLU), and language generation (NLG). Through practice, students develop proficiency in Deep Learning for NLP and Large Language Models. The course also covers critical examination of language model biases and strategies for their mitigation.