Offered Fall 2022
Schedule & Location: T R 9:45-11:00, 152 DSL - T 3:05-5:35 (Lab), 152 DSL
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.
Formerly named Algorithms for Science Applications II