Spring 2027

Cosmology

Cosmology: introduction to the Universe as a whole, covering matter distribution, cosmic expansion equations, nucleosynthesis, Big Bang tests, gravitational collapse, and structure growth.

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

Summary

1 / 7

Past student reviews · Elena D''Onghia

Students who attended lectures and did the homework found the material easy to master, suggesting a manageable workload for engaged learners.

What you’ll be able to do

  • Explain modern cosmological concepts, including dark matter and dark energy, and present evidence supporting the standard Lambda-CDM cosmology.

  • Describe the physical and mathematical assumptions in basic cosmological models.

  • Use knowledge of these concepts to make testable, observable predictions about the Universe.

Source: UW Guide

Grade history

↗
average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

ASTRON 200 and (PHYSICS 241, 249,PHYSICS/​E C E 235, or concurrent enrollment)

ASTRON 335 used by

“Used by” includes alternatives; linked courses may have other requirements. 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

ELENA D'ONGHIA is recorded teaching in Spring 2014, Spring 2016, Spring 2018, Fall 2024. 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

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SectionModeEnrolled / capacityWaitlist

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

Meeting source records
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Student experience

the class

Past student reviews · Elena D''Onghia

Elena D'Onghia taught the course with a structured approach that made success achievable for students who paid attention and completed assignments.

Recent recorded grades — Fall 2023: 3.14 GPA, 61.1% A/AB (n=18 letter grades); Fall 2024: 3.72 GPA, 87.0% A/AB (n=23 letter grades); Fall 2025: 3.68 GPA, 81.8% A/AB (n=11 letter grades).

difficulty & workload

Past student reviews · Elena D''Onghia

Students who attended lectures and did the homework found the material easy to master, suggesting a manageable workload for engaged learners.

Past student reviews · Elena D''Onghia

One student felt Elena taught phenominaly well and helped them learn a lot, while noting that peers who disliked the class often made little effort to learn.

Topics

  • Distribution of matter on the largest scales
  • Equations for cosmic expansion and observations in expanding curved spacetime
  • Nucleosynthesis and tests of the Big Bang hypothesis
  • Gravitational collapse and the growth of structure
  • Dark matter, dark energy, and the standard Lambda-CDM cosmology

Skills

  • Explain modern cosmological concepts and make testable, observable predictions about the Universe.

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
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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

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

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No offering records for the selected term.

Raw records 
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Student reviews

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": "4b4db423e4e6cc9fec42521c3bf3094c9ab7172b885cbbd01ccaa39e92df508f",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}