Fall 2026

Applied Database Design

APPLIED DATABASE DESIGN introduces database applications, design principles, and SQL for real-world data problems.

offering recorded3 credits
Recorded instructors · Fall 2026 Aaron Enright3.6/5

Summary

1 / 6

Historical reviewers found the workload light, noting that assignments were straightforward and often completed during class. Exams were described as lecture-heavy, requiring preparation based on lecture content.

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

Sophomore standing and satisfied Quantitative Reasoning (QR) A

    • Sophomore standing
    • satisfied Quantitative Reasoning (QR) A
    take all
LIS 464

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

Prerequisite text tree
  • All of
    • Sophomore standing
    • satisfied Quantitative Reasoning (QR) A

Professors

Fall 2026
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.50/5 from 2 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.

No course-specific feedback yet.

Historical instructors & teaching patterns

Historical reviews for Kristin Eschenfelder describe her as helpful, caring, and effective at making technical content accessible. Reviewers note her straightforward assignments and lecture-heavy exams, with one citing group projects as time-consuming.

KRISTIN ESCHENFELDER is recorded teaching in Fall 2022, Fall 2023, Fall 2024. 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
LAB 001Classroom Instruction83 / 859

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

Historical reviews for Kristin Eschenfelder describe the course as easy and engaging, with straightforward assignments and helpful instruction. The current instructor is Aaron Enright, whose teaching style is not covered by these reviews.

Recent recorded grades — Spring 2025: 3.79 GPA, 89.4% A/AB (n=85 letter grades); Fall 2025: 3.72 GPA, 88.4% A/AB (n=95 letter grades); Spring 2026: 3.68 GPA, 86.4% A/AB (n=88 letter grades).

difficulty & workload

Historical reviewers found the workload light, noting that assignments were straightforward and often completed during class. Exams were described as lecture-heavy, requiring preparation based on lecture content.

Students reported that historical instruction was helpful, with clear explanations of technical concepts and supportive lab assistance. Group projects were noted as interesting but time-consuming.

Topics

  • Database application lifecycle
  • Data modeling and relational design
  • SQL queries and interfaces
  • Database documentation

Skills

  • Database design, management, and application
  • Data modeling and SQL query writing
  • Creating reports, interfaces, and documentation

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
LIS 464 · Fall 2026

Applied Database Design

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": "1272:544:026057",
    "course_id": "LIS 464",
    "course_uid": "course_b7124aab0f885840575f8fab",
    "term_id": "1272",
    "source_course_id": "026057",
    "source_subject_id": "544",
    "title": "Applied Database Design",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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.

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
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.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "a3ef3c2b6f6f99a006c1d52b1363bc627ab5eeee0ab03ee80afc4d02d5e3631f",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}