INFO 500(2) Principles of Public Health Informatics I: Public health informatics is an emerging field. While there are a variety of definitions for this term, in this course we shall define PHI as the application of information systems and technology to public health practice and research.
INFO 501 (2) Principles of Public Health Informatics II:The goal of this course is to provide an overview of some of the major areas in which information systems are used in public health. For each example, we will discuss the opportunities presented and challenges faced in the design, development, deployment, and maintenance of these systems.
INFO 503 (2) Management Principles for Informatics:The purpose of this course is to allow students to gain understanding of multiple dimensions to management related to provision of information services. At the end of this course, students should be able to evaluate and justify information technology investments, evaluate the utility of alternative information system delivery modes, and plan strategically for future information system development.
INFO 511 (3)Analytics:This course covers the principles of data visualization, both for presentation and analysis. Using commercial and open source software, we will explore different data visualization techniques and the design principles.
INFO 521 (3) Database Development for Public Health: This course will cover the principles utilized in data management and database development for purposes of Public Health. This is primarily a skills-based course - the students will learn to create a relational database using Microsoft Access 2013, as well as gaining an understanding of the important terminology, standards and data management principles utilized by data management teams.
INFO 530 (2) Geographic Information Systems:Introduces the use of geographic information systems (GISs) in the analysis of public health data. Addresses basic GIS operations such as buffering, layering, and spatial queries, and develops GIS skills through homework and case studies. Addresses introductory cartography and basic statistical aspects of spatial analysis.
INFO 532 (4) Principles if Geographic Information Systems: The course introduces the use of geographic information systems (GISs) in the analysis of public health data. We develop GIS skills through homework and case studies, and particularly address basic GIS operations such as buffering, layering, and spatial queries as well as more advanced GIS capabilities such as geodatabases. In addition to GIS issues we address introductory cartography, and basic statistical aspects of spatial analysis.
INFO 540 (2) Informatics and Analytics in Public Health Surveillance: In this class, students will learn about the use of advanced state-of-the-art computing technologies to synthesize very large datasets to support decisions in public health surveillance and research.
INFO 544 (2) Network Science in Public Health: In this class, we will cover key concepts of networks. We will illustrate how network science can be used in public health research and evaluation. Lecture sessions will be followed by laboratory sessions in which topics from the prior lecture are developed further. In particular students will gain hand-on experience with software tools for analyzing and visualizing network data.
INFO 550 (2) Software Engineering: This course seeks to teach principles of software engineering through hand-on experience in constructing a real-life project. During this project, the student will be exposed to SE tools, including version control, deployment software, and integrated development envirnoments (IDEs).
INFO 560R (VC) Current Topics in Public Health Informatics: A faculty member offers a new course on a current topic of interest to both master's and doctoral students.
INFO 595R (0) Practicum: Enables students to apply skills and knowledge in an applied setting through a supervised field training experience in a public health setting that complements the student's interests and career goals. Must meet RSPH guidelines and have departmental approval.
INFO 597R (VC) Directed Study: Provides an in-depth exposure to specific topics not covered in regular courses, for example, statistical genetics and specialized experimental designs.
INFO 598R (4) Capstone: Involves intern-like participation on specific scholarly, research, or developmental projects which expose students to the role of the statistical consultant or collaborator in a variety of research settings.