Fall 2026

Actuarial Statistics for Risk Modeling

Introduces statistical learning theory and methods for analyzing and modeling risks in actuarial applications.

offering recorded4 credits
Recorded instructors · Fall 2026 Peng Shi3.7/5

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.35 GPA, 70.6% A/AB (n=17 letter grades); Fall 2025: 3.62 GPA, 71.4% A/AB (n=21 letter grades); Spring 2026: 3.65 GPA, 80.0% A/AB (n=30 letter grades).

Grade history

↗
average GPA
letter grades
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AB
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All recorded terms · compare terms & instructors

Prerequisites

Course map

(GEN BUS 317,ECON 410,STAT/​MATH 310,STAT 312, 333, or 340), graduate/professional standing, or declared in Capstone Certificate in Actuarial Science

ACTSCI 640 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.33/5 from 3 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Fall 2024: 3.53 GPA, 88.2% A/AB (n=17 letter grades); Fall 2025: 3.62 GPA, 71.4% A/AB (n=21 letter grades).

Historical instructors & teaching patterns

PENG SHI is recorded teaching in Fall 2024, Fall 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 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction24 / 600

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2025: 3.35 GPA, 70.6% A/AB (n=17 letter grades); Fall 2025: 3.62 GPA, 71.4% A/AB (n=21 letter grades); Spring 2026: 3.65 GPA, 80.0% A/AB (n=30 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Linear and nonlinear models, diagnostics, variable selection, and non-supervised learning.

Skills

  • Statistical learning theory and methods for analyzing and modeling risks.
  • Diagnostics, assessment, variable selection, and non-supervised learning techniques.

Grades

Latest available · Spring 2026— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · 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

1283 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

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.

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Selected offering source records
ACTSCI 640 · Fall 2026

Actuarial Statistics for Risk Modeling

Recorded 2026-09-07
Raw records 
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:242:026740",
    "course_id": "ACTSCI 640",
    "course_uid": "course_09c6ee1bc749ac38c1a7d335",
    "term_id": "1272",
    "source_course_id": "026740",
    "source_subject_id": "242",
    "title": "Actuarial Statistics for Risk Modeling",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Not Applicable"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

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No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "3cd9a665ed1b94bcf340fe295a98785b7d3bf0d40dddb2b4ff660f1984dcc662",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}