SSC 374E - Visualization and Data Analysis for Science and Engineering

Institution:

The University of Texas at Austin

Subject:

Description:

Scientific visualization principles, practices, and technologies, including remote and collaborative visualization. Introduces statistical analysis, data mining, and feature detection. Three lecture hours a week for one semester. Prerequisite: Mathematics 408D or 408M; Mathematics 340L; and prior programming experience using C or Fortran on Linux or Unix systems.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utexas.edu

Phone Number:

(512) 471-3434

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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