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Liberal Study
Upper Level
Credits: 4
Term(s) Offered (Subject to Change) : Spring 1. Fall 1.
A familiarity with data structures and the ability to identify appropriate data structures along with an understanding of the principles of algorithm design including the ability to design correct and efficient algorithms such as one would gain in a course on Data Structures and Algorithms or through professional experience.
A working knowledge of functions, relations, and sets; formal logic; proof techniques; basics of counting; graphs and trees; and discrete probability such as one would gain in a course on Discrete Mathematics.
It is recommended that students also have a familiarity with the social context of computing and professional and ethical responsibility such as one would gain in a course on Social/Professional Issues.
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