Independent research conducted under the guidance of a faculty member.

Small-group or individual investigation of advanced topics in computing. Guided study and research.

Small-group or individual investigation of advanced topics in computing. Guided study and research.

Small-group or individual investigation of advanced topics in computing. Guided study and research.

Natural Language Processing and Understanding is a multi-disciplinary field that focuses on computational methods to analyze and manipulate natural human language with relevance to artificial intelligence, machine learning, computer science, and linguistics. This course focuses on the fundamental principles of Natural Language Processing and Language Modeling. Large language model products and agents like ChatGPT, Claude, and Gemini are ubiquitously used today and this course will focus on underlying algorithms, methods , and techniques involved in building such language models and other computational methods to broadly analyze language. This course will cover machine learning principles, neural architectures for processing language, training and inference algorithms, techniques for adaptation and manipulation of language models, and other relevant research topics in linguistics, large-scale analysis of unstructured natural language data, and language modeling. The students will develop skills related to the topics above by engaging in an open-ended project, programming homeworks, theory assignments, and classroom activities.

Credit not allowed for both CS 7650 and CS 4650.

Small-group or individual investigation of advanced topics in computing. Guided study and research.

This course, Health sensing and interventions (HSI), aims to bridge the gap between the medical sciences and computing.  At a high level, this course explores how to sense the human body and the various conditions/contexts that affect our health.  More specifically, this course will investigate:

• Different systems of human physiology (high level) 
• Existing devices that can measure our health.
• Devices that can provide feedback to users regarding their health 
• How these medical devices and health technologies work
• Which technology to choose for a given problem 
• How can we design new devices ourselves?  

We will explore the different systems of the human body and discuss how to measure (or trigger in case of interventions) various aspects of them.  We will brainstorm possible solutions, discuss how to test them, and discuss the implications of different approaches.  Students will be able to, but not required to, build a physical device.  A health sensing kit will be available for students to use. Some solutions require hardware, while others can be based on software-as-a-medical-device (SaMD), including mobile applications, data analysis, and algorithmic solutions.  Students should leave this course with the skills and confidence to tackle problems in healthcare that previously seemed insurmountable.  

Computer data structures and algorithms in the context of object-oriented programming. Focus on software development towards applications.

Small-group or individual investigation of advanced topics with a faculty member.