Listed in: Mathematics and Statistics, as STAT-210
Nicholas J. Horton (Section 01)
This course will focus on the use of text analytics to explore the rich history of Holyoke, MA. Holyoke has been a site of rapid industrialization, multiple waves of immigration and migration, urban development, rapid changes in its workforce, and ongoing creativity, activism, and innovation. Students will develop the skills to mine textual data from archives at the Wistariahurst Museum, the Holyoke Public Library, Holyoke Community College, and other repositories to address important questions regarding the development and history of this planned community. Topics include sentiment analysis, regular expressions, document-term-matrices, named entity recognition, and Latent Dirichlet analysis. Requisite:
Student has completed or is in the process of completing: STAT 111 or MATH/STAT 135 or STAT136 or PSYC 122 or has a placement of STAT230.
Recommended requisite: HIST 351 or COSC 111.
Professor Horton.
How to handle overenrollment: If overenrolled, students will be asked to submit a statement of interest that will be used for selection.
Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: quantitative work, problem sets, projects, group work, quizzes and use of computational software.
Section 01
Tu 2:30 PM - 4:20 PM SCCE E208
Th 2:30 PM - 4:20 PM SCCE E208
| ISBN | Title | Publisher | Author(s) | Comment | Book Store | Price |
|---|---|---|---|---|---|---|
| Modern Data Science with R (2e) | CRC Press | Baumer et al | book available for free on the internet | TBD |