COSC 70 Foundations of Applied Computer Science

This course introduces core computational and mathematical techniques for data analysis and physical modeling, foundational to applications including computational biology, computer vision, graphics, machine learning, and robotics. The approaches covered include modeling and optimizing both linear and nonlinear systems, representing and computing with uncertainty, analyzing multi-dimensional data, and sampling from complex domains. The techniques are both grounded in mathematical principles and practically applied to problems from a broad range of areas. Not open to students who have received credit for COSC 70.01.

Instructor

Pediredla (Fall), Yang (Winter), Jarosz (Spring)

Prerequisite

MATH 3, COSC1 required, COSC 10 recommended

Degree Requirement Attributes

Dist:QDS

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