Curricular Items
Posted: Thursday, December 17, 2015Curricular Items
From the Chair of the College Senate Curriculum Committee
The following have been received in the College Senate Office and forwarded to the College Senate Curriculum Committee for spring 2016 review:
Program Revision:
Minor in Gerontology, GRN (formerly Minor in Aging)
New Courses:
CIS 600 Machine Learning for Data Science. Prerequisite: CIS 500 or equivalent. Introduction to machine learning techniques for data science; mathematical methods; algorithms; application to academia, industry, and business problems. Fundamental concepts and terms; methods, tools, and techniques. Supervised and unsupervised learning; identification of learning problems; data sources; analytical approaches; algorithm implementation; interpretation and reporting.
HEW 326 Introduction to Health Data Visualization and Analytics. Prerequisites: Satisfaction of Intellectual Foundations Mathematics and Quantitative Reasoning requirements. Introduction to core concepts for understanding and using data in fields of health. Topics fundamental to understanding how to analyze data. Analytic methods for expressing data and information in ways to enhance the development, implementation, and evaluation of health promotion programs. Development of a research project using health data.
