Applied Database Design

Applied Database Design introduces applications of databases to real-world problems, covering user-oriented design, management, SQL, and MySQL implementation.

offering recorded3 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 6

Past student reviews · Kristin Eschenfelder

Group projects took some time but were interesting, while exams were described as very lecture-heavy.

What you’ll be able to do

  • Understand the technical vocabulary and concepts used to describe databases and related technologies

  • Understand, and critically evaluate and implement the full spectrum database design process, from the initial user needs analysis, to conceptualization, development of schemas, and final production

  • Apply normalization techniques to reduce data redundancy and improve data integrity

  • Understand the concepts of de-normalization and its rationale in real-world applications

  • Create, modify, and query relational databases using the SQL language

  • Perform a real-world database design and implementation in MySQL

  • Understand the concept of No-SQL database models and the difference between SQL and NO-SQL database

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

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

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 870

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

Past student reviews · Kristin Eschenfelder

Kristin Eschenfelder taught this course as an accessible introduction to databases and SQL, breaking down technical concepts for non-technical students.

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

Past student reviews · Kristin Eschenfelder

Group projects took some time but were interesting, while exams were described as very lecture-heavy.

Past student reviews · Kristin Eschenfelder

Students found the class easy to understand due to extensive use of examples in lectures, and they often finished assignments during class time.

Topics

  • User-oriented database design, management, and application.
  • Database application lifecycle, data modeling, and relational database design.
  • SQL queries, reports, database interfaces, and documentation.
  • De-normalization concepts and No-SQL database models.

Skills

  • Implementing the full database design process including user needs analysis, schema development, and production.
  • Applying normalization techniques to reduce data redundancy and improve data integrity.
  • Creating, modifying, and querying relational databases using SQL.
  • Performing real-world database design and implementation in MySQL.
  • Understanding the database application lifecycle, data modeling, and database documentation.

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.

Selected offering source records
LIS 464 · Spring 2027

Applied Database Design

Recorded 2026-10-14
Raw records
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    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:544:026057",
    "course_id": "LIS 464",
    "course_uid": "course_b7124aab0f885840575f8fab",
    "term_id": "1274",
    "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
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
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
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  "output_id": "cff251630564823f6c9231fa09c9f6db08d3aa80559593fde996e5c63e3f0fcd",
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  "observed_at": "2026-10-14 17:50:09.728220+00:00"
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