Spring 2027

Real Estate Argus Modeling

Introduction to real estate modeling using ARGUS for building models of acquisition transactions for office and retail mall properties.

offering recorded1 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.70 GPA, 81.4% A/AB (n=86 letter grades); Fall 2025: 3.40 GPA, 61.7% A/AB (n=162 letter grades); Spring 2026: 3.74 GPA, 82.9% A/AB (n=70 letter grades).

What you’ll be able to do

  • Demonstrate key components required to model a real estate transaction including, program summary, sources and uses of funds, income statement, debt waterfall, and reporting.

  • Demonstrate key calculations in ARGUS that are used in the real estate profession including effective gross income, net operating income, tenant improvements, present value, levered and unlevered returns and internal rate of return.

  • Model acquisition transactions for office and mall.

  • Perform management reporting and sensitivity analysis on present value and internal rate of return for various leasing scenarios.

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

REAL EST 410, 710, or concurrent enrollment

REALEST 412 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

No instructors recorded for this selection.

Historical instructors & teaching patterns

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 002Classroom Instruction0 / 550
LEC 003Classroom 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
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Student experience

the class

Recent recorded grades — Spring 2025: 3.70 GPA, 81.4% A/AB (n=86 letter grades); Fall 2025: 3.40 GPA, 61.7% A/AB (n=162 letter grades); Spring 2026: 3.74 GPA, 82.9% A/AB (n=70 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Acquisition transactions for office and retail mall properties
  • Sensitivity analysis on model inputs
  • Office and Retail real estate terminology

Skills

  • Input assumptions, make decisions using reports, perform sensitivity analysis on model inputs, and explain Office and Retail real estate terminology.
  • Model real estate transactions including program summary, sources and uses of funds, income statement, debt waterfall, and reporting.
  • Calculate effective gross income, net operating income, tenant improvements, present value, levered/unlevered returns, and internal rate of return in ARGUS.

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.

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Selected offering source records
REALEST 412 · Spring 2027

Real Estate ARGUS Modeling

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:239:025855",
    "course_id": "REALEST 412",
    "course_uid": "course_20391385b8bd657cfb9eda1a",
    "term_id": "1274",
    "source_course_id": "025855",
    "source_subject_id": "239",
    "title": "Real Estate ARGUS Modeling",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Not Applicable"
  }
]
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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
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "ee85c995652bd6f5168f0fc97f483762bf97c211f69805209aa2f239389d93dc",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}