8000

Course covers the essential exploratory technique for summarizing data.  Modeling techniques covered include predictive modeling, also known as predictive analysis; cluster analysis, segmenting, affinity analysis, and applied predictive analytics.  Course is dependent on a sound understanding of statistical analysis techniques, such as regression analysis and hypothesis testing.  Prerequisite:  Undergraduate statistics course.

Students participate in a seminar led by a faculty member.  Students are also required to be employed in a training position related to their concentration.  Coursework in the seminar is directly tied to the performance of activities of a regularly scheduled employee in operations and the student must complete a minimum of 80 contact hours with the employer during the practicum course.

Students participate in a seminar led by a faculty member.  Students are also required to be employed in a training position related to their concentration.  Coursework in the seminar is directly tied to the performance of activities of a regularly scheduled employee in operations and the student must complete a minimum of 80 contact hours with the employer during the practicum course.

Course provides end-to-end coverage of cloud computing topics as they pertain to both technology and business considerations.  Topics include fundamental cloud computing terminology and concepts; challenges and risks of contemporary cloud computing platforms and cloud services; cloud delivery and calculating cloud on premise solution costs and service level agreements (SLAs) for cloud based IT resources.  Course includes hands-on exercises in topical areas.

Course focuses on the design, development, and structuring of programs that store large collections of data. Topics include the development and implementation of software solutions to enhance business needs.  Several types of databases may be used, including relational and multimedia.  Also covered are programming languages such as Python and Structured Query Language (SQL) to create databases, manipulate big data sets, and generate reports.

Continuation of previous CPT practicum.