Examines how informatics in the healthcare industry improves patient care, health outcomes, efficiency, quality & evidence-based decision making; evaluates challenges and strategies for healthcare managers in implementing health information systems & their costs, benefits, and impacts in healthcare organizations. Analyzes key issues in data management, security, privacy and confidentiality. Prerequisite: Admission to HSM Graduate Certificate

Independent research for undergraduate students enrolled in the BA/BS/MPH 5 year program or other programs that may be related to Public Health or Ethics.

Introducing the questions, methods, and arguments that organize work in the Environmental Humanities (EH), this graduate seminar is open to MA and PhD students from any discipline, including the sciences and social sciences. There are no prerequisites. ENVH 6000 serves as the required course for the Graduate Certificate in Environmental Humanities, yet is open to graduate students not pursuing the Certificate.

This interdisciplinary course introduces students to advanced research methods for investigating issues in European Studies. Each student will develop a research proposal and paper on a specific disciplinary topic under the supervision of a faculty member in that discipline, with the requirement that the paper include significant insights from at least one other discipline.

Designed for capstone project teams to meet in groups with advisors and clients to advance work on their projects. Capstone course is for MSDS students.

Comprehensive introduction to predictive modeling, a cornerstone of data science and machine learning. Learn the fundamental concepts, techniques, and tools used to build models while emphasizing both theoretical understanding and practical applications. The topics include we will cover are an in-depth analysis of linear models and different variants, their extension to generalized linear models, and an introduction to nonparametric regression.

This course introduces first-year graduate students in the humanities and social sciences to the knowledge and skills fundamental to success in graduate school. Particular topics vary.

Evolution of language models, from encoding words to simple vectors to training LLMs. Train and build LLM, understand concepts like self- and cross-attention in LLMs and their applications, review research on Tokenizers, Retrieval Augmented Generation (RAG), Prompt Engineering, Fine-tuning LLMs using Low-Rank Adapters (LoRA), Quantization in LLMs, QLoRA, In-context Learning (ICL) and Chain-of-Thought (CoT) reasoning. Using Python libraries.

Project oriented course that will research specific climate problems, proposing new solution to decision makers at local & state level. Course expands understanding of broad societal scope relevant to climate action. Students are exposed to federal, state & local policy challenges and opportunities as well as understanding how business & politics shape the policy landscape. Gain understanding of diverse climate-relevant career opportunities.

Course uses expert entrepreneurs with decades of starting & running new ventures. Expert entrepreneurs learn to tackle the unpredictable, but also to embrace and leverage it to cocreate enduring new ventures. Students will grapple with the principles and process of effectual action and interaction. The course is designed to delve into effectual entrepreneurship ¿ philosophically, psychologically and practically.