Spring 2027

Real Estate Excel Modeling

Introduction to building real estate models for acquisition and development transactions in residential and commercial sectors using Excel.

offering recorded1 credits
Recorded instructors · Spring 2027 Michael Schlicting3.9/5Arif Qureshi3.8/5

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.38 GPA, 58.6% A/AB (n=70 letter grades); Fall 2025: 3.45 GPA, 69.7% A/AB (n=155 letter grades); Spring 2026: 3.60 GPA, 82.1% A/AB (n=56 letter grades).

What you’ll be able to do

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

  • Demonstrate key functions in excel that are used in the real estate profession including, PMT (payment), PV (present value), NPV (net present value), IRR (internal rate of return), EM (equity multiple), Sumproduct, Round, Solver, Data Table, named Ranges, charts, error bars and circular references.

  • Model acquisition and development transactions for residential and commercial real estate.

  • Perform management reporting and sensitivity analysis on PV (present value) and IRR (internal rate of return) for various debt and occupancy metrics.

Source: UW Guide

Grade history

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

Prerequisites

Course map

REAL EST 410, 710, or concurrent enrollment

REALEST 411 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
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.33/5 from 12 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.

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Arif Qureshi

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.00/5 from 21 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 — Spring 2024: 3.43 GPA, 64.9% A/AB (n=74 letter grades); Fall 2024: 3.53 GPA, 71.3% A/AB (n=178 letter grades); Spring 2025: 3.38 GPA, 58.6% A/AB (n=70 letter grades).

Historical instructors & teaching patterns

ARIF QURESHI is recorded teaching in Fall 2023, Spring 2024, Fall 2024, 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 900
LEC 002Online Only0 / 400

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: 3.38 GPA, 58.6% A/AB (n=70 letter grades); Fall 2025: 3.45 GPA, 69.7% A/AB (n=155 letter grades); Spring 2026: 3.60 GPA, 82.1% A/AB (n=56 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Acquisition and development transaction modeling
  • Market data sourcing, assumption derivation, and sensitivity analysis
  • Advanced Excel functions for financial analysis

Skills

  • Modeling real estate transactions including sources and uses of funds, income statements, and debt/equity waterfalls using Excel functions like NPV, IRR, and Solver.

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.

Download part 1
Selected offering source records
REALEST 411 · Spring 2027

Real Estate Excel Modeling

Recorded 2026-10-14
Raw records 
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  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:239:025846",
    "course_id": "REALEST 411",
    "course_uid": "course_3de8425e363ca26bc0a03fc3",
    "term_id": "1274",
    "source_course_id": "025846",
    "source_subject_id": "239",
    "title": "Real Estate Excel 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.

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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": "438fd362f0a5328c10a60bcdc739832350656ca42aa4904ed752cec12d23f6e0",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}