TIMETABLE Spring 2008-09 Course Listing

School/College:  COLLEGE OF LETTERS AND SCIENCE
    Department:  (266) COMPUTER SCIENCES

• Evening exams possible in all courses. Variable 3-4 credit courses are 3 credits for grads, 4 credits for all others.

Course		SS	Cr	Cr No Cr	geBLC	Prerequisites	Open to Fr	XL	Notes	Go To Sections
										All	Open
240	Intro to Discrete Mathematics	A1	3	.	__NIC	Math 221	.	XL	.
252	Intro to Computer Engineering	A1	2	.	___EC	Open to Fr	Y	XL	.
298	Directed Study in Comp Sci	A1	1- 3	Y	___EC	Open to Fr	Y	.	.
302	Introduction to Programming	A1	3	.	r_NIC	Problem solving skills such as those acquired in a stats, logic, or adv HS algebra crse, or cons inst. Open to Fr. Stdts who take both Comp Sci 110 & 302 will receive a total of 3 cr for the two crses	Y	.	.
304	WES-CS Group Meeting	A1	0	.	___E_	Con reg in Comp Sci 302 & membership in WES-CS. Open to Fr	Y	.	.		.
310	Prob Solvng Using Computers	A1	3	.	___EC	Math 222	.	.	.
352	Digital System Fundamentals	A1	3	.	r_PIC	Comp Sci/ECE 252	.	XL	.
354	Machine Organizatn&Progrmng	A1	3	.	r_NIC	Comp Sci 302 & ECE/Comp Sci 252	.	XL	.
367	Intro to Data Structures	A1	3	.	r_NIC	Comp Sci 302 or cons inst. Stdts are strongly encouraged to take Comp Sci 367 within two semesters of having taken Comp Sci 302	.	.	.
368	Learn New Programming Lang	A1	1	Y	___IC	CS 302 or cons inst. Exper with data struct req (e.g. 5 wks of CS 367 or equiv). Stdts rec cr for lang once & not rec cr for same lang in CS 302 & 368 or 367 & 368. Open to Fr	Y	.	.
371	Tech:Computer-Based Bus Sys	A1	3	.	__SIC	Comp Sci 302 or cons inst	.	XL	.
412	Intro to Numerical Methods	A1	3	.	__NIC	Math 222 & either Comp Sci 240 or Math 234, & Comp Sci 302, or equiv, & knowledge of matrix algebra. Credit will not be given for both Comp Sci 412 & 416	.	.	.
475	Intro-Combinatorics	A1	3	.	__NAC	Math 320 or 340 or cons inst	.	XL	.
513	Numerical Linear Algebra	A1	3	.	__NAC	Math 340 or equiv, Comp Sci 302 or equiv	.	XL	.
520	Intro to Theory of Computing	A1	3	.	__NAC	Comp Sci 240 & 367, or cons inst	.	.	.
525	Linear Programming Methods	A1	3	.	__NAC	Math 443 or 320 or 340 or cons inst	.	XL	.
536	Intro-Progm Langs&Compilers	A1	3	.	__NAC	Comp Sci/ECE 354 & Comp Sci 367	.	.	.
537	Intro to Operating Systems	A1	3- 4	.	__NAC	Comp Sci/ECE 354 & Comp Sci 367	.	.	.
540	Intro-Artificl Intelligence	A1	3	.	__NAC	Comp Sci 367	.	.	.		.
547	Comp Systms Mdlng Fundmntls	A1	3	.	__NAC	Math 223, Comp Sci 367, & Comp Sci/ECE 354	.	SL	.
552	Intro-Computer Architecture	A1	3	.	__PAC	ECE/Comp Sci 352 & Comp Sci/ECE 354	.	XL	.
558	Intro-Computationl Geometry	A1	3	.	___DC	Comp Sci 367 or equiv, Math 223 or equiv, or cons inst	.	XL	.
564	Database Mgt Systems	A1	3- 4	.	__PDC	Comp Sci/ECE 354 & Comp Sci 367	.	.	.
577	Introduction to Algorithms	A1	3	.	__NAC	Comp Sci 240 & 367, or cons inst	.	.	.
635	Tools & Envirnmt-Optimizatn	A1	3	.	__PIC	Comp Sci302, Math 340 or equiv	.	XL	.
638	Undergrad Topics-Computing	A1	3	.	__NAC	Cons inst	.	.	.
640	Intro to Computer Networks	A1	3	.	___DC	Comp Sci 537	.	.	.
681	Senior Honors Thesis	A1	3	.	___AC	Honors cand and cons inst	.	.	.
682	Senior Honors Thesis	A1	3	.	___AC	Honors cand and cons inst	.	.	.
699	Directed Study	A1	1- 6	.	___AC	Graded on a lettered basis; Jr or Sr st. Requires cons inst	.	.	.
704	Princ of Programming Langs	A1	3	.	_____	Comp Sci 536 or equiv, or cons inst	.	.	.
715	Methods of Computatnl Math II	A1	3	.	_____	Comp Sci 302, 412; Math 322, 340, 521, 714; or equiv; or cons inst	.	XL	.
720	Integer Programming	A1	3	.	_____	Comp Sci 525 or cons inst	.	XL	.
736	Advanced Operating Systems	A1	3	.	_____	Comp Sci 537 or cons inst	.	.	.
739	Distributed Systems	A1	3	.	_____	Comp Sci 736 or cons inst	.	.	.
752	Adv Computer Architecture I	A1	3	.	_____	ECE, Comp Sci 552 & Comp Sci 537	.	XL	.
757	Adv Computr Architecture II	A1	3	.	_____	Comp Sci, ECE 752	.	XL	.
760	Machine Learning	A1	3	.	_____	Comp Sci 540	.	.	.
764	Topics-Database Mgt Systems	A1	3	.	_____	Comp Sci 564, 537 & 536 or cons inst	.	.	.
769	Adv Natural Lang Processing	A1	3	.	_____	Comp Sci 540 or equiv	.	.	.
776	Advanced Bioinformatics	A1	3	.	_____	BMI 576	.	XL	.
784	Data Models and Languages	A1	3	.	_____	Comp Sci 564 and 536, or cons inst	.	.	.
787	Advanced Algorithms	A1	3	.	_____	Comp Sci 577 or 509	.	.	.
790	Master's Thesis	A1	1- 9	.	_____	Grad st; Master's candidates only	.	.	.
799	Master's Research	A1	1- 9	.	_____	Grad st; Master's candidates only	.	.	.
809	Math Tech-Analys of Algrthm	A1	3	.	_____	Comp Sci 577, Math 321 or equiv & Math 431 or equiv	.	.	.
837	Topics-Numerical Analysis	A1	3	.	_____	Cons inst	.	XL	.
838	Topics in Computing	A1	3	.	_____	Cons inst	.	SL	.
899	Pre-Dissertator Research	A1	1- 9	.	_____	Grad st, for post-masters degree, pre-dissertator stdts only	.	.	.
915	Computn&Informatcs in Biol&Med	A1	1	.	_____	Cons inst	.	XL	.
990	Dissertation	A1	1- 6	.	_____	Dissertator status	.	.	.
999	Indep Study & Research	A1	1- 6	.	_____	Cons inst	.	.	.