Spring 2027

Fundamentals of Long-term Actuarial Modeling

Fundamentals of Long-Term Actuarial Modeling covers advanced mathematical theory of life contingencies, including force of mortality, premiums, and reserves for single-life insurance and annuities.

offering recorded3 credits
Recorded instructors · Spring 2027 Gordon Enderle

Summary

1 / 6

Past student reviews · Margie Rosenberg

Homework and exam questions were described as long stories, which one student found annoying.

What you’ll be able to do

  • Describe the key features of life and annuity insurance.

  • Apply key concepts concerning parametric and non-parametric mortality models for individual lives.

  • Estimate parameters for parametric and nonparametric survival models for actuarial applications.

  • Describe and evaluate present value random variables associated with benefits and expenses for life and annuity insurance

  • Describe and use the premium and policy value calculation processes for life and annuity insurance

  • Apply long-term actuarial modeling tools in conjunction with other techniques to address challenges in insurance applications.

Source: UW Guide

Grade history

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

Prerequisites

Course map

ACT SCI 303 and (MATH 331,STAT/​MATH 309, 431,STAT 333, or 340), declared in undergraduate Business Exchange program, or Capstone Certificate in Actuarial Science

ACTSCI 650 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

Spring 2027

Recent recorded grades — Spring 2025: 3.06 GPA, 45.7% A/AB (n=35 letter grades); Fall 2025: 3.17 GPA, 57.9% A/AB (n=57 letter grades); Spring 2026: 3.14 GPA, 55.8% A/AB (n=43 letter grades).

Historical instructors & teaching patterns

DANIEL BAUER is recorded teaching in Fall 2019, Fall 2021, Fall 2022. Recorded history may be incomplete and does not establish a future schedule.

GORDON ENDERLE is recorded teaching in Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

MARJORIE ROSENBERG is recorded teaching in Fall 2006, Spring 2014, Fall 2014, Spring 2015, Spring 2016, Fall 2017. Recorded history may be incomplete and does not establish a future schedule.

PAUL JOHNSON is recorded teaching in Fall 2015. 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 550
LEC 002Classroom Instruction0 / 550

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

Past student reviews · Daniel Bauer

Students described Professor Bauer's lectures as engaging and helpful for learning, noting that his classes kept them interested without dull moments.

Recent recorded grades — Spring 2025: 3.06 GPA, 45.7% A/AB (n=35 letter grades); Fall 2025: 3.17 GPA, 57.9% A/AB (n=57 letter grades); Spring 2026: 3.14 GPA, 55.8% A/AB (n=43 letter grades).

difficulty & workload

Past student reviews · Margie Rosenberg

Homework and exam questions were described as long stories, which one student found annoying.

Past student reviews · Margie Rosenberg

One student felt the professor had unrealistic standards and became frustrated when the class did not master topics immediately after introduction.

Topics

  • Force of mortality and laws of mortality.
  • Premiums and reserves for single-life insurance and annuities.
  • Parametric and non-parametric mortality models.
  • Present value random variables for benefits and expenses.

Skills

  • Applying and estimating parameters for parametric and non-parametric mortality and survival models.
  • Calculating premiums and policy values for life and annuity insurance.
  • Evaluating present value random variables for insurance benefits and expenses.

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

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

1280 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.

Selected offering source records
ACTSCI 650 · Spring 2027

Fundamentals of Long-Term Actuarial Modeling

Recorded 2026-10-14
Raw records
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    "offering_id": "1274:242:003679",
    "course_id": "ACTSCI 650",
    "course_uid": "course_cf57ee176273b438b9f1adc9",
    "term_id": "1274",
    "source_course_id": "003679",
    "source_subject_id": "242",
    "title": "Fundamentals of Long-Term Actuarial Modeling",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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