Technology and Social Change in History
HISTSCI 222 explores the history of technology, examining the social basis of technical change, its impact on everyday life, and related ethical issues over the last four centuries.
Summary
Historical reviews of Eric Schatzberg: The course requires significant reading and three short papers instead of exams, with grading handled by a TA who values improvement.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapSophomore standing or 3 credits in HISTORY or HIST SCI
- Sophomore standing
- 3 credits in HISTORY or HIST SCI
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- Sophomore standing
- 3 credits in HISTORY or HIST SCI
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews for Eric Schatzberg highlight his passion and energetic lectures, which help engage students with the material. Reviewers note he is responsive to feedback and willing to adjust course content based on student input.
ERIC SCHATZBERG is recorded teaching in Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Fall 2016. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Historical reviews for Eric Schatzberg highlight his passion and energetic lectures, though students should expect a heavy reading load with some dry material.
Recent recorded grades — Spring 2015: 3.62 GPA, 87.1% A/AB (n=70 letter grades); Fall 2016: 3.59 GPA, 83.5% A/AB (n=79 letter grades); Fall 2020: 3.44 GPA, 71.4% A/AB (n=35 letter grades).
difficulty & workload
Historical reviews of Eric Schatzberg: The course requires significant reading and three short papers instead of exams, with grading handled by a TA who values improvement.
Historical reviews of Eric Schatzberg: Students found the lectures engaging and the professor responsive to feedback, though some readings were described as dry.
Topics
Grades
Latest available · Fall 2020— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Fall 2020
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Fall 2020 · all course levels
GPA
Higher than % of other courses in this group.
Course GPAs · red marks this course’s range
letter grades
More recorded grades than % of other courses in this group.
Typical course in this group: letter grades.
About this comparison
1111 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.
Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
No offering records for the selected term.
Raw records
[]
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "b6589bfeae708b46342eb68ed4ffbedcb5eda716acd28cd5de01bce3f2425381",
"requirements_status": "needs_review",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}