Undergraduate Courses

This course offers stochastic algorithms, linear programming, optimization techniques, clustering and feature extraction presented in the context of science problems. The laboratory component includes algorithm implementation for simple problems in the sciences and applying visualization software for interpretation of results. Prerequisites: MAC 2312, ISC 3222. Co-requisite: ISC 4304C.

Attachments:
Download this file (ISC4221 Spring 2011.pdf)ISC4221 Spring 2011.pdf[Syllabus]24 kB
Download this file (ISC4221 Spring 2012.pdf)ISC4221 Spring 2012.pdf[Syllabus]48 kB