This course is designed to be highly integrative in that students use knowledge and tools from all functional areas of business to develop a "whole organization" perspective. In addition, they integrate by examining these functions within the context of business and societal environments, such as the competitive, political/legal, socio-cultural, technological, and economic. Furthermore, they integrate and further develop general education knowledge and skills, such as written and oral communications in each course assignment.

First year seminar students all gain exposure to strategies for success at UMass in general and in CICS in particular. In addition, FYS provide an introduction to the services, opportunities, and ways to get involved in CICS.

This course is designed to welcome first years in to the major and inform them of opportunities for their advancement in the department and beyond. The course introduces students to the subject area clusters of courses offered in the major and the faculty members in the department who teach in each of the clusters. It provides a brief overview of the field of political science and the major issues and topics that motivate the inquiries conducted in courses and in research.

This course is designed to welcome first years in to the major and inform them of opportunities for their advancement in the department and beyond. The course introduces students to the subject area clusters of courses offered in the major and the faculty members in the department who teach in each of the clusters. It provides a brief overview of the field of political science and the major issues and topics that motivate the inquiries conducted in courses and in research.

This course is aimed at students who have been exposed to the linear and nonlinear analysis techniques covered in "Nonlinear Biodynamics" (KIN797N). The course has the following objectives: Deeper understanding of time series analysis techniques related to entropy measures, including Multiscale Sample entropy and Transfer Entropy; detrended Fluctuation Analysis; Lyapunov Analysis; Linear and nonlinear filtering; Continuous relative phase analysis, including the Hilbert Transform; Vector coding analysis; Time-to-contact analysis and movement coordination.

The world is rich in data and our ability to process, manipulate, analyze, and visualize that data is growing in power. This course discusses how to understand and solve real-world problems using modern programming techniques.