Spring 2027

Introduction to Digital Information

Introduction to Digital Information prepares students to use information technologies to implement infrastructures like websites and databases while exploring access, usability, and policy.

offering recorded3 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 5

Past student reviews · Dorothea Salo

One student reported that exams were taken on Canvas with access to notes, and described the projects as fun and easily graded.

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Satisfied Communications A

  • Satisfied Communications A
LIS 351

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

Prerequisite text tree
  • Satisfied Communications A

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

DOROTHEA SALO is recorded teaching in Fall 2014, Fall 2015, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018. Recorded history may be incomplete and does not establish a future schedule.

JIEPU JIANG is recorded teaching in 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LAB 301Classroom Instruction0 / 250
LEC 001Online Only0 / 1620
LAB 302Classroom Instruction0 / 250
LAB 303Classroom Instruction0 / 250
LAB 304Classroom Instruction0 / 250
LAB 305Classroom Instruction0 / 250
LAB 306Classroom Instruction0 / 250

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

Past student reviews · Dorothea Salo

Students found the material approachable and the learning experience positive, with clear instruction and supportive teaching.

Recent recorded grades — Spring 2025: 3.66 GPA, 87.1% A/AB (n=155 letter grades); Fall 2025: 3.74 GPA, 90.5% A/AB (n=148 letter grades); Spring 2026: 3.85 GPA, 92.5% A/AB (n=146 letter grades).

difficulty & workload

Past student reviews · Dorothea Salo

One student reported that exams were taken on Canvas with access to notes, and described the projects as fun and easily graded.

Past student reviews · Dorothea Salo

A student noted that lectures could be dry with dense PowerPoint slides, though they still reported learning significantly from the course.

Topics

  • Information access, representation, usability, and policy
  • Social impacts and shaping of information infrastructures
  • Websites, databases, and metadata

Skills

  • Implementing information infrastructures such as websites, databases, and metadata
  • Exploring information access, representation, usability, and policy issues
  • Understanding the social impacts and shaping of information infrastructures

Grades

Historical instructor

Spring 2027 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.12 GPA average error.

Grades over time

Through Spring 2027

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.

Download part 1
Selected offering source records
LIS 351 · Spring 2027

Introduction to Digital Information

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:544:023983",
    "course_id": "LIS 351",
    "course_uid": "course_d6ab622d10381f18c2dbba1f",
    "term_id": "1274",
    "source_course_id": "023983",
    "source_subject_id": "544",
    "title": "Introduction to Digital Information",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring, Summer"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "92ffc295a5b2c5a8a8fc78d9d5e0591ce323f550e12de34db9d69e16c2518f2d",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}