Recent recorded grades — Fall 2020: 3.62 GPA, 85.3% A/AB (n=34 letter grades); Spring 2022: 3.78 GPA, 93.3% A/AB (n=30 letter grades); Spring 2025: 3.58 GPA, 83.3% A/AB (n=12 letter grades).
Fall 2026
Regression and Time Series for Actuaries
ACTSCI 654 teaches multiple regression and time series analysis with a business focus, enabling students to critically consume related reports.
Recorded instructors · Fall 2026 Yang Wang
Summary
1 / 6
Historical reviews of Peng Shi: The material is described as difficult and theoretical, though the professor makes exams manageable.
Grade history
↗ average GPA
letter grades
letter grades
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All recorded terms · compare terms & instructors
Prerequisites
Course map(ACT SCI 640,GEN BUS 656,STAT 333, or 340), or declared in undergraduate Business Exchange program
- ACTSCI 640
- GENBUS 656
- take one
- declared in undergraduate Business Exchange program
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- ACTSCI 640
- GENBUS 656
- Any of
- declared in undergraduate Business Exchange program
Professors
Fall 2026Historical instructors & teaching patterns
Historical reviews for instructor Peng Shi describe the course material as difficult and theoretical, with some content being hard to grasp. However, reviewers note that the professor makes the exams manageable and is likable and humorous.
PENG SHI is recorded teaching in Fall 2013, Spring 2014, Fall 2014, Fall 2015, Fall 2017, Spring 2018. Recorded history may be incomplete and does not establish a future schedule.
YANG WANG is recorded teaching in Spring 2017, Spring 2018, Fall 2018, Fall 2020, Spring 2022, Spring 2025. 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 |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 22 / 50 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Historical reviews for Prof. Shi describe him as likable and humorous, with exams that are manageable despite difficult material.
Recent recorded grades — Fall 2022: 3.15 GPA, 38.5% A/AB (n=26 letter grades); Spring 2024: 3.23 GPA, 42.9% A/AB (n=28 letter grades); Spring 2025: 3.58 GPA, 83.3% A/AB (n=12 letter grades).
difficulty & workload
Historical reviews of Peng Shi: The material is described as difficult and theoretical, though the professor makes exams manageable.
Historical reviews of Peng Shi: Reviewers highly recommend Prof. Shi, noting his down-to-earth nature helps navigate the challenging content.
Topics
Skills
Grades
Latest available · Spring 2025— not enough history to project Fall 2026.
Grade distribution · % of letter grades
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Grades over time
Through Spring 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Fall 2026 in UW–Madison.
Sources & history
UW–Madison
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
Regression and Time Series for Actuaries
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:242:003683",
"course_id": "ACTSCI 654",
"course_uid": "course_2df2f7477ed071a49c40488a",
"term_id": "1272",
"source_course_id": "003683",
"source_subject_id": "242",
"title": "Regression and Time Series for Actuaries",
"credits_min": 2,
"credits_max": 3,
"typically_offered": "Spring"
}
]Rate My Professors
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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": "4944d798250746e013c7bfdab400a00d9cec1bdf5d7dee85e518563265286177",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}