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CS 300 Applied Symbolic Computation 3.0 Credits

This course covers the fundamentals of symbolic mathematical methods as embodied in symbolic mathematics software systems, including: fundamental techniques, simplification of expressions, solution of applications problems, intermediate expressions swell, basic economics of symbolic manipulation, efficient solution methods for large problems, hybrid symbolic/numeric techniques.

College/Department: Col of Computing Informatics/Computing
Repeat Status: Not repeatable for credit
Prerequisites: CS 260 [Min Grade: C] and CS 270 [Min Grade: C] and MATH 200 [Min Grade: C] and (MATH 201 [Min Grade: C] or ENGR 231 [Min Grade: C])