DATA 260 - Applied Intelligent Systems

Apply modern computational intelligent techniques, methodologies, tools and environments to develop integrated systems for solving practical problems; incorporate development processes, architectures, smart components, models and algorithms in building intelligent systems; perform integration, operations, management and evaluation tasks of intelligent systems.

Prerequisite(s): DATA 240 and DATA 245, or instructor consent.
Grading: Letter Graded

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