Spring 2027

Computational Cognitive Science

Computational Cognitive Science studies the biological and computational basis of intelligence using methods from cognitive science, AI, machine learning, computational biology, and cognitive neuroscience. Programming ability is required.

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

Summary

1 / 5

Past student reviews · Michael Coen

Problem sets were noted as unique and well-designed explorations into the course's fascinating interdisciplinary topics.

Grade history

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

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
BMI/COMPSCI/PSYCH 841

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

MICHAEL COEN is recorded teaching in Fall 2013, Fall 2014. 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

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records

No records available.

Student experience

the class

Past student reviews · Michael Coen

The course was described as engaging and intellectually deep, with a professor who had extensive knowledge across multiple fields.

Recent recorded grades — Fall 2020: 4.00 GPA, 100.0% A/AB (n=4 letter grades); Spring 2022: 3.61 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.95 GPA, 100.0% A/AB (n=10 letter grades).

difficulty & workload

Past student reviews · Michael Coen

Problem sets were noted as unique and well-designed explorations into the course's fascinating interdisciplinary topics.

Past student reviews · Michael Coen

Students found the lectures captivating and valued the opportunity to discuss topics with the professor during office hours.

Topics

  • Biological and computational basis of intelligence
  • Methods from cognitive science, artificial intelligence, machine learning, computational biology, and cognitive neuroscience

Skills

  • Applying methods from cognitive science, artificial intelligence, machine learning, computational biology, and cognitive neuroscience
  • Analyzing the biological and computational basis of intelligence

Grades

Latest available · Spring 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 Spring 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

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

Download part 1
Selected offering source records

No offering records for the selected term.

Raw records 
[]
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": "5417fe85fc552cb85cc025bbde4c27f87205a7626625132c3ca0f0b5045dc266",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}