Spring 2027

Project Economics & Decision Analysis

Evaluation techniques for research, development engineering projects. Covers the time value of money and other cash-flow concepts, capital budgeting, economic practices and techniques used to evaluate and optimize decisions, and research development project portfolio management techniques.

offering recorded3 credits
Recorded instructors · Spring 2027 Sundaram Gunasekaran3.4/5

Summary

1 / 3

Recent recorded grades — Spring 2024: 2.58 GPA, 18.8% A/AB (n=32 letter grades); Spring 2025: 2.89 GPA, 26.3% A/AB (n=38 letter grades); Spring 2026: 3.51 GPA, 64.9% A/AB (n=37 letter grades).

What you’ll be able to do

  • Define the terminology used in project economic analysis

  • Describe time-value-of-money and discounting concepts

  • Apply the criteria for making economic-based decisions

  • Analyze before-tax and after-tax cash flows

  • Explain economic risk analysis techniques

  • Demonstrate capability to use a spreadsheet program in solving economic problems

  • Estimate costs and perform an economic analysis in support of a research or engineering project

  • Describe techniques used to manage company project portfolios

  • Develop engineering economic problem-solving techniques similar to those in the Engineering Economics portion of the Fundaments of Engineering exam

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

MATH 113, 114, or (MATH 171 and 217)

BSE 310

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: 2.00/5 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 — Spring 2024: 2.58 GPA, 18.8% A/AB (n=32 letter grades); Spring 2025: 2.89 GPA, 26.3% A/AB (n=38 letter grades); Spring 2026: 3.51 GPA, 64.9% A/AB (n=37 letter grades).

Historical instructors & teaching patterns

SUNDARAM GUNASEKARAN is recorded teaching in Spring 2023, Spring 2024, Spring 2025, Spring 2026. 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 001Online (some classroom)0 / 390

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 2024: 2.58 GPA, 18.8% A/AB (n=32 letter grades); Spring 2025: 2.89 GPA, 26.3% A/AB (n=38 letter grades); Spring 2026: 3.51 GPA, 64.9% A/AB (n=37 letter grades).

difficulty & workload

No workload feedback recorded.

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
BSE 310 · Spring 2027

Project Economics & Decision Analysis

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": "1274:112:026086",
    "course_id": "BSE 310",
    "course_uid": "course_0666a1751149847523ce73de",
    "term_id": "1274",
    "source_course_id": "026086",
    "source_subject_id": "112",
    "title": "Project Economics & Decision Analysis",
    "credits_min": 3,
    "credits_max": 3,
    "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": "8a515a261c7631463515329982ed2369d0ff489bc17516b37024d506d35f68ee",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}