DATASCI 306 - Introduction to Statistical Computing
Winter 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:
[DATASCI 101 or STATS 206 or STATS 250 or STATS 280 or STATS 412 or ECON 451 or IOE 265] AND prior or concurrent enrollment in [MATH 116 or MATH 121 or MATH 156 or MATH 176 or MATH 186 or any 200+ level math credit except for MATH 201.].
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.
Primary Instructor:

Description

This course introduces basic concepts in computer programming and statistical computing techniques as they are applied to data extraction and manipulation, statistical processing and visualization. It is aimed primarily at undergraduate majors in Statistics and Data Science.

 

Schedule

DATASCI 306 - Introduction to Statistical Computing
Schedule Listing
001 (LEC)
 In Person
30278
Closed
0
 
-
MW 10:00AM - 11:30AM
002 (LAB)
 In Person
30279
Closed
0
40Enrollment Management
-
M 4:00PM - 5:30PM
003 (LAB)
 In Person
30280
Closed
0
40Enrollment Management
-
Tu 10:00AM - 11:30AM
004 (LAB)
 In Person
30281
Closed
0
40Enrollment Management
-
W 8:30AM - 10:00AM
005 (LAB)
 In Person
40966
Closed
0
 
-
Tu 8:30AM - 10:00AM

Textbooks/Other Materials

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Syllabi

Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

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CourseProfile (Atlas)

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CourseProfile (Atlas)