Spring 2027

Interactive Data Analytics

Cognitive engineering approach to human-computer interaction and data visualization, covering design intent, representation, human limits, and creating static/interactive visualizations with R.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Fall 2023: 3.66 GPA, 88.7% A/AB (n=53 letter grades); Fall 2024: 3.83 GPA, 96.4% A/AB (n=55 letter grades); Fall 2025: 3.79 GPA, 96.6% A/AB (n=29 letter grades).

What you’ll be able to do

  • Approach visualization as a design process, using the critical response process and paper prototypes

  • Design visualizations for different audiences and different purposes

  • Use the concepts of abstraction and aggregation to translate raw data into meaningful information

  • Use the flexibility of the grammar of graphics to craft graphs for effective communication

  • Develop replicable data analyses and visualizations with R and RShiny

  • Create specialized data analytic visualizations such as time series decompositions and ROC curves

Source: UW Guide

Grade history

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

Prerequisites

Course map

I SY E/​PSYCH 349 and (I SY E 210,E C E 331,MATH/​STAT 310,STAT 312, 324, or 340), graduate/professional standing, or member of Engineering Guest Students

ISYE 649

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

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Fall 2023: 3.66 GPA, 88.7% A/AB (n=53 letter grades); Fall 2024: 3.83 GPA, 96.4% A/AB (n=55 letter grades); Fall 2025: 3.79 GPA, 96.6% A/AB (n=29 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Cognitive engineering approach to human-computer interaction
  • Four-part framework for effective visualization including design intent and human limits
  • Philosophical and scientific basis for data visualization and visual analytics
  • Data processing and creation of static and interactive visualizations using R

Skills

  • Approach visualization as a design process using critical response and paper prototypes
  • Design visualizations for specific audiences and purposes
  • Translate raw data into meaningful information using abstraction and aggregation
  • Craft graphs for effective communication using the grammar of graphics
  • Develop replicable data analyses and visualizations with R and RShiny
  • Create specialized visualizations like time series decompositions and ROC curves

Grades

Latest available · Fall 2025— 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 Fall 2025

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

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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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Dataset & model

Recorded 2026-10-14

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

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "a64aa5c3ca0145949b36de4d722b6a4ed3a2b6650687b31341e35286a3952654",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}