Focuses on the application of communication skills and principles in the context of public safety. Students will gain understanding and practice in engaging communities around such challenging issues as inequality …
Bayesian inferential methods provide a foundation for machine learning under conditions of uncertainty. Bayesian machine learning techniques can help us to more effectively address the limits to our understanding of …
Understand machine learning fundamentals, cybersecurity, and deep learning principles. Explore how machine learning algorithms can be leveraged to address prevalent cybersecurity issues, such as malware detection, spam filtering, anomaly detection, …
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.
Students will develop a detailed understanding of the legal aspects of public employment law, and the short and long-term impact of recruiting and retaining talented employees. Emphasis will be placed …
A graduate-level course on deep learning fundamentals and applications with emphasis on their broad applicability to problems across a range of disciplines. Topics include regularization, optimization, convolutional networks, sequence modeling, …
Course provides an introduction to leadership in the public arena. Through course readings, team projects, and discussion of case studies, students will develop skill at identifying the resources, options, and …
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 …
An introductory course in which principles of assessing educational policies are applied to the evidence currently available across a range of policies. Areas of education policy may include early childhood …
Introduces fundamental concepts of computation, data structures, algorithms, & databases, focusing on their role in data science. Covers both theoretical studies & hands-on learning activities. Includes basic data structures, advanced …