QMSS 301 - Quantitative Social Science Analysis and Big Data
Winter 2022, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Quantitative Methods in the Social Sciences (QMSS)
Department: LSA Quantitative Methods in the Social Sciences
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Details

Credits:
4
Requirements & Distribution:
BS
Credit Exclusions:
No credit granted to those who have completed or are enrolled in QMSS 251 prior to Winter 2022.
Consent:
With permission of instructor.
Enforced Prerequisites:
QMSS 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 will cover methodological approaches to answering social questions that combine theory and skills from social science, social research methodology, statistics and computer science. Topics will include the development of relevant social questions to learning how to identify, capture, manage and analyze big data that can inform those questions.

Schedule

QMSS 301 - Quantitative Social Science Analysis and Big Data
Schedule Listing
001 (LEC)
 In Person
36880
Open
53
 
-
MW 2:30PM - 4:00PM
002 (LAB)
 In Person
36889
Open
6
 
-
Th 10:00AM - 11:00AM
003 (LAB)
 In Person
36890
Open
6
 
-
Th 11:00AM - 12:00PM
004 (LAB)
 In Person
36891
Open
6
 
-
F 12:00PM - 1:00PM

Textbooks/Other Materials

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Syllabi

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CourseProfile (Atlas)

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CourseProfile (Atlas)