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>> Values & Goals
Our Values
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Intellectual rigor as exemplified by mathematics, formal logic, disciplined analysis, and empirical investigation.
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The enduring technical foundations of computer science that enable students and faculty to adapt to new developments in information technology.
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Practical professional knowledge that supports students' success in the workplace and faculty participation in the professional world of computing.
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Integration of education in computer science with other sciences and with the liberal arts, i.e., embedding technical education in a liberal arts community.
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Interdisciplinary collaboration with colleagues in other departments at EMU and in other organizations.
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Respect for the ideas of students and colleagues, independent of rank or position; seeking guidance from those who are more junior.
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Responsiveness to the logistical constraints experienced by students, staff, and faculty due to professional and family responsibilities.
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Diversity* among all populations in the department and with which the department interacts.
(* Diversity is respected across genders, races, cultures, economic statuses, national origins, disability
statuses, and sexual orientations, among other dimensions)
Purpose
'To foster the joy of intellectual accomplishment that derives from rigorous thinking in, and disciplined
practice of, computer science'.
Major Goal
To be seen by students and employers as the best applied computer science program at the B.S. and M.S.
levels in Southeastern Michigan, measured both in terms of teaching and research. Teaching is to be founded
on enduring principles of computer science and close working relationships between faculty and students.
Research is to contribute to the solution of practical problems and provide opportunities for creative student
involvement.
Subgoals
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Strengthen applied research.
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Increase the desirability of our computer science graduates as externs and permanent employees in information technology as shown by ABET
accreditation and other means.
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Reinforce and update our department's knowledge base in pure and applied computer science (including faculty knowledge,
curricula, library holdings, and available tools).
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