Applied Natural Language Processing. (3-0) 3 Credit Hours

Catalog description

Prerequisite: EE 5253 ; or instructor’s approval. This is an interdisciplinary course that introduces students to the design and implementation of Natural Language Processing (NLP) through a project-based approach. Students will learn to design and use NLP methods (such as transformer models and large language models) and creatively apply them to real-world projects, for example, RNA sequence analysis, language translation, text summarization, and security applications. During this course, students have access to state-of-the-art graphics processing units (GPUs) for extensive experimentation. In addition to lectures, the course will invite speakers who are experts in NLP, Machine Learning, and Deep Learning. This course has Differential Tuition.