| Course Title: Topics in Data Science: 'Introduction to Digital Humanities' |
| Start Date: 01/27/2026 End Date: 05/12/2026 |
| Term: Spring Semester 2026 |
| Description: This class is an interdisciplinary course that examines the application of computational tools and methodologies to humanities research, with a strong emphasis on practical Python programming. It covers key topics such as image processing, data visualization, and statistical analysis applied in various domains, including history, archaeology, and the arts. Students engage with diverse case studies and projects, employing computational and statistical techniques to analyze and interpret complex real-world datasets. The course also critically explores methodological challenges in digital humanities, including issues related to sparse data, noisy contexts, and the inherent limits of interpretation. |
| Distribution(s): II - Math & Sciences , TP - Topics Course |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Arie Shaus | ashaus@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/27/2026 - 05/12/2026 | Lecture | Monday and Wednesday | 01:45PM - 03:00PM | TBA | TBA | Weekly |
| Requisite Courses | ||
| Prereq: DATA-113 (or COMSC-151 and STAT-140) or equivalent familiarity with Python and statistics. Contact the instructor if needed. | Take previously | Required |
| Comments |
| Additional Comments |
| Course Tags |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Open | Capacity: 18 | Enrollment: 7 | Available: 11 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| To be determined. |
| Additional Book Comments |
| This is NOT the complete book list for this class. |