Computer Science 36 - Numerical and Computational Tools for Applied Science

Institution:

Dartmouth College

Subject:

Description:

09X: Arrange. This course provides a practical and principled coverage of useful numerical and computational tools of use in many disciplines. The first half of this course provides the mathematical (linear algebra) and computing (Matlab) framework upon which data analysis tools are presented. These tools include data fitting, Fourier analysis, dimensionality reduction, estimation, clustering, and pattern recognition. This course is designed for undergraduate and graduate students across the sciences and social sciences. Prerequisite: Computer Science 5 or equivalent, Mathematics 8 or equivalent, Mathematics 22 or Mathematics 24 or equivalent, as approved by the instructor. Dist: TAS. Farid.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.dartmouth.edu

Phone Number:

(603) 646-1110

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Quarter

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