Fall 2026

Financial Coaching

CNSRSCI 355 teaches financial coaching using positive psychology and behavioral economics to help individuals build financial capability.

offering recorded3 credits
Recorded instructors · Fall 2026 Amanda Kozlowski4.0/5

Summary

1 / 6

Reviewers describe the course as not too difficult, with work focused on notes and practicing coaching skills that is super helpful to learning.

Grade history

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

Prerequisites

Course map

None

  • None
CNSRSCI 355

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

Prerequisite text tree
  • None

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 6 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: 5.0/5 raw quality · 1.8/5 difficulty · 5 reviews

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

Amanda Kozlowski is consistently praised as helpful, personable, and accommodating, with reviewers noting her willingness to assist struggling students and encourage collaboration. Students report that she makes the course material meaningful by connecting lessons to personal lives, resulting in an attainable workload and high satisfaction.

Recent recorded grades — Spring 2025: 3.74 GPA, 88.9% A/AB (n=90 letter grades); Fall 2025: 3.86 GPA, 93.4% A/AB (n=152 letter grades); Spring 2026: 3.73 GPA, 86.8% A/AB (n=114 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

Historical reviews for instructor Margaret Olive describe her as sweet and knowledgeable about effective coaching, with one student reporting a great learning experience.

AMANDA KOZLOWSKI is recorded teaching in Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

MARGARET OLIVE is recorded teaching in Fall 2016, Spring 2017, Fall 2017, Fall 2018, Spring 2019, Fall 2019, Fall 2020. 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 Instruction50 / 500
LEC 002Classroom Instruction48 / 480
LEC 003Classroom Instruction48 / 500

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

Amanda Kozlowski is consistently praised as an awesome, helpful, and personable instructor who makes earning an A attainable and classes enjoyable.

Recent recorded grades — Spring 2025: 3.74 GPA, 88.9% A/AB (n=90 letter grades); Fall 2025: 3.86 GPA, 93.4% A/AB (n=152 letter grades); Spring 2026: 3.73 GPA, 86.8% A/AB (n=114 letter grades).

difficulty & workload

Reviewers describe the course as not too difficult, with work focused on notes and practicing coaching skills that is super helpful to learning.

Students value in-class collaboration and lessons that connect to personal lives, finding the outside work meaningful and the overall experience highly recommendable.

Topics

  • Financial coaching, positive psychology, and behavioral economics
  • Building individual financial capability

Skills

  • Preparation for financial, social work, and asset building services

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
CNSRSCI 355 · Fall 2026

Financial Coaching

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": "1272:271:024429",
    "course_id": "CNSRSCI 355",
    "course_uid": "course_3d8960578233a667a81a6f6c",
    "term_id": "1272",
    "source_course_id": "024429",
    "source_subject_id": "271",
    "title": "Financial Coaching",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
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": "5023744a2702e2d909114b2a4acc410f7d63c68b1aa8627cbbad65355c66f6c7",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}