Explores the Constitution as the ethical compass that guides the work of public safety professionals and cement a fundamental understanding of the U.S. Constitution and the subsequent 27 amendments. Students …
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.
Through a step-by-step process students learn to conduct statistical analyses to examine, evaluate, and share relevant public safety related data. Students also learn how to make practical interpretations of the …
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 …
Examines joint operations and incident command for complex events. Emphasis will be placed on command structure, continuity of operations, public safety response to community/public health emergencies, occupational health and safety, …
This course covers fundamentals of data mining and machine learning within a common statistical framework. Topics include regression, classification, clustering, resampling, regularization, tree-based methods, ensembles, boosting, and Support Vector Machines. …
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, …
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 …
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.
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 …
This course presents the simplest economic models explaining how individuals and organizations respond to changes in their circumstances and how they interact in markets, and it applies these models to …
The first part of a two-semester sequence in research methods and tools used to evaluate public policies. This course reviews basic mathematics and statistics used by policy analysts, and introduces …
This course is designed for first year Graduate students in the Computer Engineering Program to help orient new graduate students to the current research topics, available research tools, software and …