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These screens show enrollment analytics over time and for a specific term. What is most interesting, is that the Computer Science School of Computing and Information enrollment distinction between genders is following the national trend of gender ratios.
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These analytics look at the workforce for trends and actionable items:
- Faculty Head Count by Type of Instructor
- Faculty Head Count by Type of Instructor grouped by Gender (other demographics can be chosen via the "Include Column" function)
The following dashboard includes an age demographic column from the main dashboard, and can be used for succession planning and/or recruitment
The following analytic differs from Head Count in that complex logic in the transformation process computes the Full Time Equivalent that each instructor actually teaches (what department pays him/her, what department is he/she teaching in, number of courses, etc)
The drill down to the individual instructor provides insight into faculty who may also be doing research, publications, etc.