Courses

This course will introduce students to the advanced SAS programming features...

This short course is designed to provide a brief, practical introduction to working with data on a Hadoop cluster.

This short practical course is designed to provide a brief introduction to Linux operating system.

This short course is designed to provide a brief introduction to Python programming language to students with no prior knowledge of Python.

This one-day workshop is an introduction to the essential concepts and techniques for the statistical computing language R.

This course introduces the essential general programming concepts and techniques to a data analytics audience without prior programming experience.

This course in Deep Learning and Image Recognition will provide a practical, hands-on set of lectures on Deep Learning and Image Processing tools and techniques.

The course presents models and applications of sequential decision making under uncertainty.

This four-session course will focus on two of the more critical Big Data ethical issues at hand: bias and privacy. Its goal is to equip students with the ability to identify, understand, and discuss these the ethics of bias and privacy in the context of their work.

Analytics Practicum is part of the co-operative educational agreement between MScA program and employers that provides off-campus work authorization for international students to pursue internships.

Population Health Informatics

This course focuses on the psychological, social, and behavioral consequences of terrorist threats, natural disasters, and catastrophes, as well as preparation for and responses to these occurrences.

This course is designed to provide information crucial to monitoring the health of the public and responding to outbreaks.

This course familiarizes students with the fundamentals of emergency management and homeland security.

This course will cover basic summary and inferential statistics and data visualization.

This course will focus on converting the tools of policy analysis into action and social change, addressing the regulatory, legal, and ethical issues affecting hazard and response management, privacy, and quarantine.

This course is designed to cover the basic principles of radiation biology as it pertains to radiation interactions with biological systems, the short and long term consequences, regulatory issues and the underlying science, nuclear and radiological accidents and health effects, radiological terrorism, and countermeasures.

This course will cover inter-operability, common communications, data standards, digital data formats, warning systems, geographic information technologies, and equipment and design standards.

This course focuses on evidence-based communication strategies, tools and tactics in crisis situations.

Students will learn how to be good members and effective leaders of teams, committees, and other decision-making and problem-solving groups and develop strategies to build partnerships and establish networks to ensure effective response when a disaster strikes.