DATASCI 315 - Statistics and Artificial Intelligence
Fall 2022, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Data Science (DATASCI)
Department: LSA Statistics
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Details

Credits:
4
Requirements & Distribution:
BS
Enforced Prerequisites:
(Stats 250 or Stats 206 or Stats 280 or Stats 412 or IOE 265) and (Stats 306 or EECS 183 or ENG 101) and (Math 116 or Math 121 or Math 156 or Math 176 or Math 186).
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.

Description

Statistical concepts are increasingly integrated into Artificial Intelligence applications, which often draw on a large amount of data received, transmitted, and generated by computers or networks of computers. This course introduces students to statistical and machine learning techniques such as deep neural networks, with applications to analyzing text and image data.

Schedule

DATASCI 315 - Statistics and Artificial Intelligence
Schedule Listing
001 (LEC)
 In Person
33619
Open
75
 
-
TuTh 10:00AM - 11:30AM
002 (LAB)
 In Person
33620
Open
8
 
-
Th 2:30PM - 4:00PM
003 (LAB)
 In Person
33621
Closed
0
 
-
Th 4:00PM - 5:30PM
004 (LAB)
 In Person
33622
Open
17
 
-
Th 5:30PM - 7:00PM

Textbooks/Other Materials

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Syllabi

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CourseProfile (Atlas)

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CourseProfile (Atlas)