INSH 6406 — Analyzing Complex Digitized Data
4 semester hoursGraduateLectureusually offered: falltypical days: TBostonTraditional
Introduces cutting-edge ways of structuring and analyzing complex data or digitized text-as-data using the open-source programming language Python. Scholars across multiple disciplines are finding themselves face-to-face with massive amounts of digitized data. In the humanities and social sciences, these data are often in the form of unstructured text and un- or under-structured data. Encourages students to think about novel ways they can apply these techniques to their own data and research questions and to apply the methods in their own research, whether it be in academia or in industry.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2024 | 1 | 8 | 25 | 32% | 17.0 |
| Fall 2025 | 1 | 9 | 25 | 36% | 16.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 100% · W 0% · Th 0% · F 0%
Common patterns: T (100% of sections) — in patterns, R means Thursday
Professors
Fall
- Seoeun Yang (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (INSH course descriptions) · Student reviews on RateMyHusky · All INSH courses · Plan it at numap.app