Fall 2026

Quantitative Tools for Economics

ECON 205 teaches quantitative tools, including algebra, financial mathematics, and calculus, applied to economic models and optimization problems.

offering recorded3–4 credits
Recorded instructors · Fall 2026 Rebecca Glawtschew2.9/5

Summary

1 / 6

The course begins with algebra and calculus, becoming progressively harder as economic concepts are integrated, requiring serious effort to succeed on exams.

Grade history

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

Prerequisites

Course map

(ECON 101, 102, 111 or concurrent enrollment) and (MATH 211, 217, or 221). Not open to students with credit forMATH 222

ECON 205 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

Fall 2026

Rebecca Glawtschew

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 2.77/5 from 91 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.

For this course: 4.0/5 raw quality · 3.2/5 difficulty · 5 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

Rebecca Glawtschew teaches ECON 205 with in-depth coverage of math and calculus applications, preparing students for advanced courses like ECON 301. Reviewers praise her thorough instruction and practical focus, noting that effort leads to strong understanding and success in subsequent classes.

One reviewer rated the course poorly, citing high difficulty and low satisfaction, contrasting with the generally positive feedback regarding the instructor's teaching quality and course preparation value.

Recent recorded grades — Fall 2023: 3.02 GPA, 56.7% A/AB (n=30 letter grades); Fall 2024: 3.27 GPA, 61.3% A/AB (n=31 letter grades); Fall 2025: 3.16 GPA, 61.7% A/AB (n=60 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

REBECCA GLAWTSCHEW is recorded teaching in Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction58 / 650

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

Rebecca Glawtschew’s ECON 205 is highly recommended for students seeking rigorous preparation for advanced economics courses through in-depth mathematical instruction.

Recent recorded grades — Spring 2025: 3.52 GPA, 81.8% A/AB (n=44 letter grades); Fall 2025: 3.16 GPA, 61.7% A/AB (n=60 letter grades); Spring 2026: 3.21 GPA, 57.1% A/AB (n=56 letter grades).

difficulty & workload

The course begins with algebra and calculus, becoming progressively harder as economic concepts are integrated, requiring serious effort to succeed on exams.

Reviewers value the practical applications and deep understanding of math and calculus, noting the course effectively prepares students for subsequent classes like ECON 301.

Topics

  • Algebra, financial mathematics, and calculus.
  • Economic models and optimization problems.

Skills

  • Quantitative skills for economics.
  • Applying math to economic models and optimization.
  • Algebra, financial mathematics, and calculus applications.

Grades

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

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

1283 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
ECON 205 · Fall 2026

Quantitative Tools for Economics

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:296:025795",
    "course_id": "ECON 205",
    "course_uid": "course_3f616870486a236b78867155",
    "term_id": "1272",
    "source_course_id": "025795",
    "source_subject_id": "296",
    "title": "Quantitative Tools for Economics",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Not Applicable"
  }
]
Rate My Professors

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 2026-09-07

Download the original dataset
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "bbc28d08dff1d7b5c877162c66fa0e9ee70ff992ab5d985eefe9bfb16950c2f8",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}