We offer credit and noncredit learning opportunities in a variety of subjects, from more traditional disciplines such as literature and philosophy, to business-oriented courses, to master’s degrees. Our courses are conveniently located in-person at the University of Chicago Gleacher Center and NBC Tower in downtown Chicago, and are primarily in the evening and on weekends, to fit the schedule of working adults. We also offer online courses, for those not located in Chicago, or who wish to study from home.
This course will provide an introductory and intermediate level overview of computer science and programming for students who are not working in technology-based professions.
This course will provide students with an understanding of critical ethical, legal and social issues related to biomedical informatics, with an emphasis on policies in the US
This course will introduce students to advanced concepts in computer programming through real-world "end-to-end" case studies.
This course will introduce students to the concepts of research design, working with healthcare data, managing secondary data sets, and basic data analysis including descriptive statistics and measures of association.
This course will provide students with an understanding of healthcare information technology (HIT) standards and interoperability.
This course will allow students to explore the concept of big data and the analytic and clinical challenges it presents.
This course will give students an overview of computer-assisted management information and decision systems used in health organizations.
This course will follow on from the Introduction to Bioinformatics and will include advanced topics such as: Linux and high performance computing; genomic data visualization; R programming in bioinformatics; and RNA sequencing data analysis.
In this class, students will learn about fundamental GIS concepts while building the basic skills necessary to integrate a GIS into a decision making process.
This interdisciplinary course will provide the fundamental knowledge for healthcare innovation and entrepreneurship.
This course will discuss the spectrum of evidence generated on emerging technology through the lens of popular culture, news and articles, primary research, and fundamental research methodologies.
This course provides both a hands-on introduction and conceptual foundation for public health informatics.
This introductory course will present an overview of the basics concepts, techniques and algorithms used in Machine Learning.
This course will provide an introductory view of the breadth of healthcare delivery science covering a wide array of topics.
Exposure to basic statistical concepts that are necessary for students to understand the content presented in more advanced courses...
This course covers the analytics research process from the translation of business problems into researchable questions that can be addressed by using analytics...
Students learn how to work effectively in teams to identify, structure, and communicate the business value of data analytics to an organization.
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