Intro to AI and Big Data in HC
Students will learn to understand and apply concepts in Big Data (BD) analytics and Artificial Intelligence (AI) - the two key catalyzers for technological revolution within the context of the healthcare industry and analyze case studies from healthcare, public health and research. The students will be introduced to the concepts of BD, AI and Machine Learning (ML) and their application in health care. Students will explore the application of supervised, unsupervised ML algorithms and Natural Language Programming (NLP) through various use cases in health care including medical diagnosis, disease management, screening, and clinical decision support. Advantages, disadvantages and ethics of leveraging AI and BD in the health care domain will be discussed. As a hands-on lab, students will work with R/ R Studio to apply the concepts taught in class. The course will prepare students for a career in health informatics and analytics space through a real-world understanding of the role of BD and AI within the health care context.
Basic Enrollment Requirements: Unofficial Transcript - Bachelor's. You will be contacted after registration for required evidence of immunization.
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Remission Eligible: Yes; first day of term; all university policies apply.
Instructor Approval: Required; Please email the instructor of this course to request permission to enroll. We typically recommend including a transcript and 2-3 sentences as to why you are interested in taking the course. Once you receive permission, please forward your communication documenting permission to firstname.lastname@example.org.
- School of Medicine - Public Health & Professional Degrees