AI and Machine Learning

Requirements	Class Number	Class Name	Hours*	Offered	Prerequisites	Notes
Complete All	CS 235	Data Structures and Algorithms	3:3:0	F/W/Sp	CS 111
	CS 474	Introduction to Deep Learning	3:3:0	F/W	Math 320 or CS 312 or CS 472
	MATH 522	Mathematical Foundations of Deep Learning	3:3:0	W	Math 213 & Math 215 & Math 314 & C S 111 or equivalent & Math 402 or 431 or equivalent.
Complete One	CS 470	Intro to AI	3:3:0	F/W/Sp	CS 312 & Math 215 & Stat 201 (or Stat 121)	C S 312 Pre-req is CS 236
	CS 473	Advanced Machine Learning	3:3:0	F/W	CS 472 & Math 213 & Math 215	CS 472 Pre-req is CS 312
	CS 479	Intro to Machine Translation	3:3:0	F	CS 240 & Reading ability in a language other than English	CS 240 Pre-req is CS 235 Recommended Python proficiency, CS 474 or CS 472 or Ling 581 or similar exposure to MT or NLP technologies.
	CS 674	Advanced Deep Learning	Contact Department	F	Contact Department	**Not in catalog, but in 2-year plan
	CS 677	Bayesian Inference	Contact Department	W	Contact Department	**Not in catalog, but in 2-year plan
Indirectly Required	STAT 201 or STAT 121 preferred	Statistics for Engineers and Scientists	3:3:0	F/W/Spr	MATH 112 or MATH 113 or MATH 119
Indirectly Required	STAT 201 or STAT 121 preferred	Introduction to Statistical Data Analysis	3:3:1	F/W/Spr-Su/Spr/Su	-	Recommended MATH 110 or equivalent

*Hours are Credit : Lecture : Lab

Important

** Please note that MATH 320 and CS 235 will fulfill all pre-requisites for CS 240, CS 472, CS 474, and CS 580. To get an add code for your class, please contact Lynnette Nelson lnelson@cs.byu.edu
This list will be updated regularly with courses that may fulfill this concentration. If you feel a class may complete one of the required courses, please contact the ACME Committee.