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Business Data Mining

Data mining is concerned with tools and techniques to numerically and visually explore vast data sets, classify data, predict outcomes, and identify associations, patterns, and exceptional events. Such capabilities enable firms to - for example -- better segment markets, evaluate and classify stocks, identify prospective customers, predict contingencies and catastrophes, identify defaulters and fraudulent transactions, measure churn, identify threats, perform service requests, and bundle goods and services. Such capabilities are critical in global, competitive business settings.

Topics In Analytics

This course covers contemporary topics in enterprise data, analysis, and decision making. Past coverage has included Data Mining, Data Communications, and Valuation of Information. The topics covered would also be valuable to students from programs such as Computer Science, Telecommunications, Statistics, and Engineering.

Business Data Analysis

Business Data Analysis is a course in applied business decision making. It uses Excel to organize, summarize, and analyze data and to interpret the results of such analysis. It is an introduction to the process of transforming raw data into results to support common business decisions. The course will emphasize hands-on problem solving in a business context rather than on the specific techniques.

The British Empire, 1322-1879

This course covers the rise, fall, and rise of the British empire from its extension into Scotland and Ireland till the beginning of the age of "New Imperialism," explaining the means by which Britain came to dominate one-third of the globe, and its impact on the many cultures, economics, and geopolitical entities of the third world. It will further discuss how those cultures transformed Britain itself.

Assistive Teaching

An advanced study of assistive technology devices and services for individuals with learning, cognitive, physical, and sensory disabilities. This course includes lecture, hands-on experiences, and discussion of current trends and issues in assistive technology consideration and implementation for teachers, families, and administrators.

Cfd I - Incompressible Flows

This course will cover a control-volume CFD approach for the conservation of momentum, heat and mass transfer. The emphasis will be on the discretization of the transport equations in general coordinates and its application in both structured and unstructured grid arrangements. Modern numerical schemes and pressure solution algorithms will also be covered. An introduction of turbulence modeling will be provided.

Internship In Arts Administration

Students without substantial work experience in the field of Arts Administration are required to complete three credit hours of internships in order to graduate, and must work at least 50 hours for each credit hour earned. While students are ultimately responsible for finding and completing their internships, students do receive ample support and assistance from Program faculty throughout the process. The activities to be carried out during internships must be mutually agreed upon by the student, their faculty supervisor, and the host organization supervisor.

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