Data Science (DS)

Code	Title	SH	Usually offered	NUpath	Prerequisites	Recent instructors
DS 1300	Knowledge in a Digital World	4	fall, spring	ER, SI		Brian Hanley Don Fallis Kathleen Creel
DS 1990	Elective	1–4
DS 2500	Intermediate Programming with Data	4	fall, spring	AD	DS 2000 (min D-)	Benjamin Gyori Deahan Yu Elena Strange Hye Sun Yun Rushit Sanghrajka
DS 2501	Lab for DS 2500	1	fall, spring			Deahan Yu Elena Strange Rushit Sanghrajka
DS 2990	Elective	1–4
DS 2991	Research in Data Science	1–4
DS 3000	Mathematical Foundations of Artificial Intelligence	4	fall, spring, summer	AD, ND	one of: CS 2100 (min D-) CIS 201M CS 2510 (min D-) DS 2500 (min D-)	Akshar Varma Chieh Wu Eric Gerber Mohit Singhal Sophine Clachar Xiaoyi Yang
DS 3050	Information and Uncertainty	4		AD, FQ
DS 3500	Advanced Programming with Data	4	fall, spring		one of: CS 2100 (min D-) DS 2500 (min D-)	John Rachlin Rushit Sanghrajka
DS 3990	Elective	1–4
DS 4200	Information Presentation and Visualization	4	fall, spring, summer	AD, WI	one of: CS 2100 (min D-) CIS 201M CS 2510 (min D-) DS 2500 (min D-)	Cody Dunne Lace Padilla Michelle Borkin Racquel Fygenson Xiaoyi Yang
DS 4300	Large-Scale Information Storage and Retrieval	4	spring	AD	all of: one of: CS 3100 (min D-) CIS 310M CS 3500 (min D-) DS 3500 (min D-) CS 3200 (min D-)	John Rachlin Mark Fontenot
DS 4400	Machine Learning	4	fall, spring	AD, CE, WI	one of: DS 3000 (min D-) CIS 250M all of: MATH 2331 (min D-) MATH 3081 (min D-)	Alina Oprea Bilal Ahmed Chieh Wu Eric Gerber Matthew Higger Miguel Fuentes-Cabrera Silvio Amir Xiaoyi Yang
DS 4420	Advanced Machine Learning	4	fall, spring	AD, CE, WI	DS 4400 (min D-)	Chieh Wu Deahan Yu Eric Gerber Virgil Pavlu
DS 4440	Modern Neural Networks	4	fall, spring	AD	DS 4400 (min D-)	Byron Wallace David Bau Steve Schmidt Wengong Jin
DS 4535	Professional Practicum Capstone	4		CE, EX, WI
DS 4970	Junior/Senior Honors Project 1	4
DS 4971	Junior/Senior Honors Project 2	4			DS 4970 (min D-)
DS 4973	Topics in Data Science	4			all of: CS 3000 (min D-) one of: CS 3100 (min D-) CIS 310M CS 3500 (min D-) DS 3500 (min D-)	John Rachlin
DS 4990	Elective	1–4
DS 4991	Research	4		EX
DS 4992	Directed Study	1–4
DS 4996	Experiential Education Directed Study	1–4		EX
DS 4997	Data Science Thesis	4
DS 4998	Data Science Thesis Continuation	4
DS 5010	Introduction to Programming for Data Science	4	fall, spring			Jin Yu Kathleen Durant Kylie Bemis Maryam Farahmand Asil Molly Domino Philip Bogden
DS 5020	Introduction to Linear Algebra and Probability for Data Science	4	fall, spring			David Brady Hessam Mahdavifar Mohammadhossein Toutiaee Nadim Saad Seyede Fatemeh Ghoreishi Weston Viles
DS 5110	Essentials of Data Science	4	fall, spring			David Brady Fatema Nafa Kylie Bemis Mohammadhossein Toutiaee Philip Bogden Roi Yehoshua Ryan Bockmon
DS 5220	Supervised Machine Learning and Learning Theory	4	fall, spring	CE, WI		David Brady Hongyang Zhang Nadim Saad Predrag Radivojac Roi Yehoshua Weston Viles Xiaoyi Yang Yanzhi Wang
DS 5230	Unsupervised Machine Learning and Data Mining	4	fall, spring	CE, WI		David Brady Jonathan Mwaura Nadim Saad Roi Yehoshua Ryan Bockmon Steve Schmidt Virgil Pavlu
DS 5500	Data Science Capstone	4	fall, spring		all of: one of: CS 5800 (min C-) EECE 7205 (min C-) one of: CS 6140 (min C-) DS 5220 (min C-) EECE 5644 (min C-) one of: CS 6220 (min C-) DS 5230 (min C-) IE 7275 (min C-) DS 5110 (min C-)	Akram Bayat David Brady Fatema Nafa Jeongkyu Lee Kylie Bemis Philip Bogden Tehmina Amjad
DS 5983	Topics in Data Science	4	fall, spring			Roi Yehoshua
DS 6962	Elective	1–4
DS 7990	Thesis	4	spring			Deahan Yu Saiph Savage
DS 7995	Project	1–4	fall, spring, summer			David Kaeli Deahan Yu John Lesko Jonathan Mwaura Michael Wan Philip Bogden Prashant Mittal Saiph Savage Samuel Munoz
DS 8982	Readings	1–8

Instructors are from recent scheduled terms; each course page shows them per season with student shares. Blank means no recent scheduled sections on record.