Amplification Systems II

Amplification Systems II covers hearing aid fitting strategies, including selection, prescription gain formulas, and gain verification.

offering recorded2 credits
Recorded instructors · Spring 2027 Rebecca Henning

Summary

1 / 2

Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=12 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=9 letter grades).

Grade history

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average GPA
letter grades
A
AB
B
BC
C
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in Audiology Consortial Program with UW-Stevens Point AUD

  • Declared in Audiology Consortial Program with UW-Stevens Point AUD
CS&D 866

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

Prerequisite text tree
  • Declared in Audiology Consortial Program with UW-Stevens Point AUD

Professors

Spring 2027

Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=12 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=9 letter grades).

Historical instructors & teaching patterns

REBECCA HENNING is recorded teaching in Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2022, 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

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 150

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

Meeting source records

Student experience

the class

Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=12 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=9 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Prescription gain formulas and verification of gain
  • Geriatric and pediatric hearing aid fitting and ethical issues
  • Determining patient satisfaction with hearing aids

Skills

  • Fitting hearing aids using selection, recommendation, prescription gain formulas, and gain verification.
  • Applying considerations for geriatric and pediatric hearing aid fitting and ethical issues.
  • Using basic techniques to determine patient satisfaction with hearing aids.

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

Not enough comparable courses for Spring 2027 in UW–Madison.

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
CS&D 866 · Spring 2027

Amplification Systems II

Recorded 2026-10-29
Raw records
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  {
    "run_id": "20261029T213040-0fa85c20",
    "semester": "1274",
    "observed_at": "2026-10-29 21:30:40.248904+00:00",
    "offering_id": "1274:252:022410",
    "course_id": "CS&D 866",
    "course_uid": "course_e5921b2d242c02a53ae22d49",
    "term_id": "1274",
    "source_course_id": "022410",
    "source_subject_id": "252",
    "title": "Amplification Systems II",
    "credits_min": 2,
    "credits_max": 2,
    "typically_offered": "Occasionally"
  }
]
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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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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": "8b905f392e2a6cfb70b49ac78faee8410333f23416768b3e1a5e98d7b5cb65b7",
  "requirements_status": "valid",
  "dataset_revision": "c9cd06eaa45f9ddf7e69faa38b89ff3d3dd995dd",
  "observed_at": "2026-10-29 21:30:40.248904+00:00"
}