SYSEN 5630

Last Updated

  • Schedule of Classes - January 5, 2026 3:59PM EST

SYSEN 5630
Clinical Natural Language Processing and Large-Language Models

Course information provided by the 2025-2026 Catalog.

Natural Language Processing (NLP) is a pivotal technology in artificial intelligence. Its significance has noticeably amplified within the medical field in recent years, as vast amounts of unstructured text data await analysis from databases such as Electronic Medical Records, biomedical literature, and clinical trials. Moreover, the advent of technologies like ChatGPT and other Large Language Models (LLMs) holds the promise of vastly transforming research methodologies and clinical practice. This course aims to provide students comprehensive knowledge of Natural Language Processing, generative AI, and related health applications. Students will learn about various text data sources, integral linguistic structures, and a range of processing methods.


Last 1 Terms Offered 2025SP

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Graded

  •  9639 SYSEN 5630   LEC 001

  •  
    • TR Online Meeting
    • Jan 20 - May 5, 2026

    • Peng, Y

  • Instruction Mode: Distance Learning-Asynchronous

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Graded

  •  9640 SYSEN 5630   LEC 002

  •  
    • TR Online Meeting
    • Jan 20 - May 5, 2026

    • Peng, Y

  • Instruction Mode: Distance Learning-Asynchronous

    Enrollment limited to: Systems Engineering Distance Learning Students.