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Classes
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DANL 101: Introduction to Data Analytics
This course provides an applied overview of the data analytic process and methods. The goal of this course is to help students unlock the potential of data analysis and improve the ability to transform data into a powerful tool in decision making. Students will develop foundational data analytics skills to prepare for a career or future learning that involves more advanced topics in data analytics. Topics covered include (1) introduction to Data Analytics thinking, (2) data generating process and exploratory data analysis, (3) linear regression and model selection (4) classification and clustering. During the course, students will work hands-on with the R programming language and its associated data analysis libraries.
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ECON 340: Environmental Economics
A study of economic theory and public policies as applied to environmental problems. Emphasis is given to the role of market failure in explaining the existence of pollution, to alternative strategies for pollution control and environmental management, and to problems associated with growth.
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MGMT 095: Excel Tutorial
A non-credit self-study course designed for all students in business majors to assure that they have an adequate level of proficiency in Microsoft Excel. Students will demonstrate their Excel competency in a hands-on-exam. Before taking this exam, all students will complete the course modules to learn the adequate skills and abilities to carry out the required Excel functions and, therefore, be successful in their upper level coursework.