DASC 715/815 Generative AI; DASC 717/817 AI for Health Sciences

 

• Title: DASC 715/815 Generative AI (3 credits)
• Course Description: This course provides a deep dive into the foundations and current advancements in generative AI. It covers key concepts such as transformer models, GANs, VAEs, LLMs, and their applications across various fields, emphasizing both theory and hands-on learning, including ethical considerations such as fairness and bias mitigation. Students will develop a comprehensive understanding of generative AI and gain practical experience.
• Grading: Normal/Letter, Pass/Fail, Audit allowed.
• Prerequisite courses: Quantitative reasoning and prior programming experience are expected.

 

• Title: DASC 717/817 AI for Health Sciences (3 credits)
• Course Description: This course explores the application of AI in health sciences, focusing on machine learning, NLP, computer vision, generative AI techniques for diagnostics, treatment planning, patient monitoring, and biomedical research. It covers precision medicine, ethical AI, and the integration of AI into practice. Students will gain a deep understanding and practical skills to develop innovative AI solutions that address real-world challenges in health sciences.
• Grading: Normal/Letter, Pass/Fail, Audit allowed.
• Prerequisite courses: Quantitative reasoning and prior programming experience are expected.