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

Zhu (Fall), Jarosz (Winter), Zhu (Spring)

Prerequisite

MATH 3, COSC1 required, COSC 10 recommended

Degree Requirement Attributes

Dist:QDS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.

Offered

• Fall
• Spring
• Winter