Data Visualization and Communication for Decision Making

LIS 707 introduces data visualization concepts, teaching students to plan, develop, and evaluate dashboards for effective communication and decision making.

offering recorded3 credits
Recorded instructors · Fall 2026 Chaoqun Ni

Summary

1 / 3

Recent recorded grades — Fall 2023: 3.88 GPA, 95.2% A/AB (n=62 letter grades); Fall 2024: 3.83 GPA, 90.9% A/AB (n=55 letter grades); Fall 2025: 3.93 GPA, 100.0% A/AB (n=27 letter grades).

Grade history

average GPA
letter grades
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AB
B
BC
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing or Declared in Analytics for Decision Making capstone certificate

    • Graduate/professional standing
    • Declared in Analytics for Decision Making capstone certificate
    take one
LIS 707

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

Prerequisite text tree
  • Any of
    • Graduate/professional standing
    • Declared in Analytics for Decision Making capstone certificate

Professors

Fall 2026

Recent recorded grades — Fall 2023: 3.88 GPA, 95.2% A/AB (n=62 letter grades); Fall 2024: 3.80 GPA, 90.0% A/AB (n=40 letter grades); Fall 2025: 3.93 GPA, 100.0% A/AB (n=27 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

CHAOQUN NI is recorded teaching in Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. 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 Instruction16 / 400
LEC 003Classroom Instruction1 / 50
LEC 002Classroom Instruction0 / 50

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 — Fall 2023: 3.88 GPA, 95.2% A/AB (n=62 letter grades); Fall 2024: 3.83 GPA, 90.9% A/AB (n=55 letter grades); Fall 2025: 3.93 GPA, 100.0% A/AB (n=27 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Data visualization and communication concepts
  • Limitations and challenges of visualization techniques
  • Visualization effectiveness and bias

Skills

  • Develop visualization dashboards and presentations
  • Plan appropriate visualizations based on data, audience, and goals
  • Evaluate visualizations for effectiveness and bias

Grades

Latest available · Fall 2025— 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 Fall 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 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
LIS 707 · Fall 2026

Data Visualization and Communication for Decision Making

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": "1272:544:024933",
    "course_id": "LIS 707",
    "course_uid": "course_53aaecb8920d39fa1d6f906f",
    "term_id": "1272",
    "source_course_id": "024933",
    "source_subject_id": "544",
    "title": "Data Visualization and Communication for Decision Making",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring"
  }
]
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Student reviews

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "9ba5b3ffc1a6b0bdfc694e33c6416fa419fb5af8a0e3a836d3bf8d3945ce279f",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}