Critique models and adapt them to a variety of data sets. Gain a deeper understanding of core ML concepts. Build towards neural networks (latent index models, more complex linear models …
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 …
Explainable artificial intelligence (XAI) is a subfield of machine learning that provides transparency for complex models to connect the technical meaning to social interpretation. Explore interpretability, transparency, and black-box machine …
Introduces 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. Appraises and explores …
Each student or small group will develop a project, be matched with a Global Studies faculty mentor, identify relevant community groups, and spend the semester working on that project. Students …
Understand Deep Learning covering neural networks, activation functions, and optimization algorithms. Gain experience with TensorFlow and PyTorch, mastering key techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), …
What are the strengths and weaknesses of the major policy-making institutions, and how does the current system of American governance compare with that of other advanced societies? This class will …
In this course, students gain experience applying global perspectives, as well as research methods and techniques, to one of several real-world issues. Team-taught, the course allows students to choose a …
This course examines how the world's major states and regions manage their public finances and economic policies through their budgetary processes and institutions.
Explores new models of database design: graph, vector, and ledger. These have become required infrastructure in service of social media (graph databases), Large Language Models (vector databases), and cryptocurrency (ledger …