Research for a thesis of approximately 50 written pages undertaken in the fall semester of the fourth year by archaeology majors who have been accepted into the Interdisciplinary Archaeology Distinguished …
Writing of a thesis of approximately 50 written pages undertaken in the spring semester of the fourth year by archaeology majors who have been accepted into the Interdisciplinary Archaeology Distinguished …
This course introduces students to a variety of disciplinary approaches to the study of Europe (history, anthropology, sociology, political science, economics, and culture). Stress will be laid on how combining …
Covers foundations and applications of NLP with a focus on the most popular form of unstructured data - text. Convert source texts into structure-preserving analytical form and then apply information …
We will explore the historical context of serial media, from the journal projects of the German Romantics to the second golden age of television. After a historical survey and a …
Train your own LLM for a custom task. Learn about the LLM lifecycle from architecture, to pre-training, to supervised finetuning, to deployment, to model editing/updating, including discussing LLM limitations. End …
Provides healthcare domain knowledge, healthcare data understanding, and data science methodologies to solve problems. Understand data types, models, and sources, including electronic health record data; health outcomes, quality, risk, and …
Reinforcement Learning is a dynamic area in machine learning that allows an agent to learn by interacting with its environment. This enables learning when the ground truth is unavailable or …
This course looks into the past, present, and future of technologies that impact labor, with an eye to empowering students with knowledge about the social, economic, and political dimensions of …
Provides a foundation in discrete mathematics, data structures, algorithmic design and implementation, computational complexity, parallel computing, and data integrity and consistency. Case studies and exercises will be drawn from real-world …
Focuses on the management concepts, theories, responsibilities, functions, and leadership skills for managers in health care organizations (HCOs). Students will evaluate and analyze health care operations, the health care environment, …
Principles of interactivity in application and dashboard development using R, Python, and JavaScript programming languages. Design visually appealing and user-friendly interfaces, develop interactive applications for data visualization, and build dynamic …
Course will provide an overview of classic and contemporary psychological interventions aimed at improving human welfare. It will examine the role of psychological factors in social reforms in healthcare, the …
Provides an in-depth exploration of probabilistic and statistical methods used to understand, quantify, and manage uncertainty. Learn foundational concepts in probability and statistics, simulation techniques, and modern approaches to parameter …
This course will focus on interpersonal, organizational, and societal factors leaders must negotiate to lead effectively in socially diverse environments. Students will be exposed to cases and empirical research that …
Equips students with some of the most used deep learning architectures. Explore feed-forward networks, convolutional neural networks, UNETs, encoders-decoders, generative adversarial networks and transformers. Analyze tools of explainable AI. Focused …
Analyzes key concepts of health care in a global context, including the impact of cultural and economic forces influencing health care access in developed and developing nations. Evaluates different systems …
This course will equip students with some of the most commonly used deep learning architectures. We will explore feed-forward networks, convolutional neural networks, UNETs, encoders-decoders, generative adversarial networks and transformers. …
Provides domain knowledge of humanitarian action, the data and data systems used by humanitarian organizations, the lifesaving implications of predictive analytics in disaster contexts and the complex data ethics considerations …
Genomics Foundations introduces core concepts in modern genomics and human genetics underlying computational biology and public health genomics. The course integrates key biological principles with quantitative reasoning and hands-on use …