Introduction to basic AI concepts and their specific applications in economics using economic data.
Lectures are small, with a median of 10 enrolled students in the recorded sections.
No recorded grade history.
All recorded terms · compare terms & instructors
No course-specific feedback yet.
No course-specific feedback yet.
No course-specific feedback yet.
Recorded history may be incomplete and does not establish a future schedule.
Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 10 / 7 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Introduction to the basic concepts of artificial intelligence and its use in economics. Covers general principles and specific economic applications. Discusses implementing these approaches using economic data.
No workload feedback recorded.
No grades available yet.
Descriptions, prerequisites, and recorded course offerings.
Observations at scan time; dates do not imply when a catalog change took effect.
Advances in Artificial Intelligence for Economists
Recorded 2026-09-07[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:296:027026",
"course_id": "ECON 771",
"course_uid": "course_38ea1a4924f3d0f18374c243",
"term_id": "1272",
"source_course_id": "027026",
"source_subject_id": "296",
"title": "Advances in Artificial Intelligence for Economists",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Not Applicable"
}
]Original comments behind the course and instructor summaries.
No records available.
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded model configuration, reasoning, and tool conversations.
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "ad04b2830b0edc79ae948d7d6ef3d82fa150458b1ca99e0bd79b58a9efc4fccf",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}