Detailed Course Information |
Fall 2023
Jan 15, 2025 |
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| HSTY 190 - Introduction to Historical Data Analysis |
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An introduction to quantitative history, the methodology historians use to compile, analyze, and interpret numerical data to answer questions about the past. This course emphasizes hands-on activities to introduce methods of quantifying historical evidence, compiling data sets, and interpreting and presenting quantitative results in relation to historical context. Historical topics addressed vary by semester but may include the transatlantic slave trade, effects of the Great Depression, trends in advertising, changing and uneven literacy rates, orphanage populations, and immigration. NOTE: Students may not receive credit for both this course and HSTY 200 Quantitative History.
Prerequisite: Mathematics placement code of 2.0 or higher or successful completion of a common core math course.
1.000 Credit hours 4.000 Lecture hours Levels: Non-Matriculated, Post-Baccalaureate Tchr Lcnse, Undergraduate Schedule Types: Directed Study, Lecture History Department Course Attributes: D.v1_DomainGenEd-Domain II-A, Undergraduate Level Course, Lrng Objective 03, Lrng Objective 07 Restrictions: May not be enrolled in one of the following Levels: Non-Matriculated May not be assigned one of the following Student Attributes: DGCE Student Prerequisites: PREREQ for HSTY 190 General Requirements: ( May not be taken concurrently. ) or ( May not be taken concurrently. ) or ( PTMA 2 to 9 May not be taken concurrently. ) or ( Course or Test: MATH 100 to 199 May not be taken concurrently. ) or ( Course or Test: STAT 100 to 199 May not be taken concurrently. ) |
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