Spring 2027

Computational Research Methods

Computational Research Methods provides an overview of formulating and investigating novel questions using educational data mining and learning analytics tools like social network analysis and Bayesian inference.

offering recorded3 credits
Recorded instructors · Spring 2027 Jennifer Scianna

Summary

Recent recorded grades — Fall 2018: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=13 letter grades).

Grade history

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average GPA
letter grades
A
AB
B
BC
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
CURRIC/EDPSYCH/LIS 803

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027
Historical instructors & teaching patterns

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

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
SEM 001Classroom Instruction0 / 200
SEM 001Classroom Instruction0 / 200
SEM 001Classroom Instruction0 / 200

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

Recent recorded grades — Fall 2018: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=13 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Educational data mining and learning analytics
  • Social network analysis, natural language processing, Markov modeling, Bayesian inference, and agent-based modeling

Skills

  • Formulating and investigating novel questions using educational data mining and learning analytics tools such as social network analysis, NLP, Markov modeling, Bayesian inference, and agent-based modeling.

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

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

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
CURRIC/EDPSYCH/LIS 803 · Spring 2027

Computational Research Methods

Recorded 2026-10-14
CURRIC/EDPSYCH/LIS 803 · Spring 2027

Computational Research Methods

Recorded 2026-10-14
CURRIC/EDPSYCH/LIS 803 · Spring 2027

Computational Research Methods

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": "1274:272:024513",
    "course_id": "CURRIC/EDPSYCH/LIS 803",
    "course_uid": "course_7a115c69d7d1ba025e387c69",
    "term_id": "1274",
    "source_course_id": "024513",
    "source_subject_id": "272",
    "title": "Computational Research Methods",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Every Other Fall"
  },
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:315:024513",
    "course_id": "CURRIC/EDPSYCH/LIS 803",
    "course_uid": "course_7a115c69d7d1ba025e387c69",
    "term_id": "1274",
    "source_course_id": "024513",
    "source_subject_id": "315",
    "title": "Computational Research Methods",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Every Other Fall"
  },
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:544:024513",
    "course_id": "CURRIC/EDPSYCH/LIS 803",
    "course_uid": "course_7a115c69d7d1ba025e387c69",
    "term_id": "1274",
    "source_course_id": "024513",
    "source_subject_id": "544",
    "title": "Computational Research Methods",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Every Other Fall"
  }
]
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Madgrades

Grade history

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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
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": "43232b74b9e662a4ee568bc994d32599e263c74a5e7a5260482c4df27914de1b",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}