Commercial Property Analysis

Introduction to techniques for analyzing commercial real estate value and investment risks, including market forecasting and developing operating pro formas.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

What you’ll be able to do

  • Apply the concepts, tools, techniques for evaluating individual real estate assets, for the purpose of real estate valuation and investment analysis.

  • Analyze commercial real estate assets from an investment and valuation perspective, including understanding basic property rights, site characteristics and building characteristics.

  • Analyze commercial real estate market data and forecast rents, vacancy and other income for a commercial property.

  • Construct and analyze a commercial real estate operating pro forma considering commercial lease structures.

Source: UW Guide

Grade history

↗
average GPA
letter grades

No recorded grade history.

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
REALEST 702

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing

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

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

Meeting source records

No records available.

Student experience

the class

Introduction to various techniques to analyze commercial real estate value and investment risks. Analysis of real property through an understanding of the legal, physical, and economic characteristics of a site and building. Analyze real estate markets to forecast future rental income and vacancies. Develop an operating pro forma and basic investment model, forecast future cash flows, and learn to estimate the market value of commercial properties.

difficulty & workload

No workload feedback recorded.

Topics

  • Legal, physical, and economic characteristics of real property sites and buildings.
  • Real estate market analysis for forecasting rental income and vacancies.
  • Development of operating pro formas, investment models, and market value estimation.

Skills

  • Analyzing commercial real estate value and investment risks using various techniques.
  • Forecasting future rental income and vacancies by analyzing real estate markets.
  • Developing operating pro formas, basic investment models, and estimating market value.
  • Understanding legal, physical, and economic characteristics of sites and buildings.

Grades

Instructor

Grade distribution · % of letter grades

No grades available yet.

More grade details Grade mix, volume & source data

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

No offering records for the selected term.

Raw records
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

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
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "5367de43926cfd655748fe7b3bfc1f5024a0c83c1dbb4fa6dbcc7bd3147c7afb",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}