School of Computer Science Undergraduate Winter/Spring 2005-2006 by DePaul University

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Page 24 of School of Computer Science Undergraduate Winter/Spring 2005-2006

mat mat mat mat 312 351 370 372 abstract algebra iii probability and statistics i advanced linear algebra logic and set theory ii computational methods concentration the computational methods concentration is intended for students with an interest in quantitative and computational methods in computer science csc 385 numerical analysis or mat 385 numerical analysis i csc 386 advanced numerical analysis or mat 386 numerical analysis ii mat 330 methods of computation and theoretical physics i mat 331 methods of computation and theoretical physics ii iii graphics concentration the graphics concentration is intended for students who want to study the technical and mathematical foundations of computer graphics and animation gph 211 perceptual principles for digital environments i gph 212 perceptual principles for digital environments ii gph 325 survey of computer graphics gph 329 computer graphics development gph 336 smooth surface modeling for graphics and animation gph 339 advanced rendering techniques gph 372 principles of computer animation mat 261 multivariable calculus ii mat 337 complex analysis mat 370 advanced linear algebra mat 385 numerical analysis i or csc 385 numerical analysis iv artificial intelligence concentration for students with an interest in the computational relations between syntax and semantics csc 357 expert systems csc 358 symbolic programming csc 380 artificial intelligence v data analysis concentration the graphics courses are intended for students who want to study the technical and mathematical foundations of computer graphics and animation csc 328 data analysis for experimenters csc 332 simulation and modeling or mat 359 simulation models and the monte carlo method csc 334 advanced data analysis or mat 354 multivariate statistics csc 367 introduction to data mining csc 381 introduction to digital image processing csc 382 applied image analysis csc 384 introduction to computer vision mat 261 multivariable calculus ii mat 348 applied statistical methods mat 351 probability and statistics i mat 352 probability and statistics ii mat 353 probability and statistics iii mat 355 stochastic processes mat 356 applied regression analysis mat 357 nonparametric statistics mat 370 advanced linear algebra mat 384 mathematical modeling 24