Fall 2026

Introduction to Data Structures and Software Development

Introduction to data structures, algorithms, and software development practices using Java.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

No student feedback recorded yet.

Grade history

average GPA
letter grades

No recorded grade history.

All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in the Capstone Certificate in Computer Sciences Kickstart Program for Professionals

  • Declared in the Capstone Certificate in Computer Sciences Kickstart Program for Professionals
COMPSCI 370

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

Prerequisite text tree
  • Declared in the Capstone Certificate in Computer Sciences Kickstart Program for Professionals

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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

Calendar & sections

Fall 2026

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

Study fundamental data structures, algorithms, and software development practices. Topics include algorithm analysis, recursion, core data structures, searching and sorting, and basic graphs. Implement these concepts in Java while analyzing correctness, efficiency, and appropriate use cases. Learn object-oriented design, testing, version control, and collaborative development.

difficulty & workload

No workload feedback recorded.

Topics

  • Algorithm analysis and recursion
  • Core data structures and graphs
  • Software testing and version control

Skills

  • Java programming implementation
  • Object-oriented design and collaborative development
  • Algorithm analysis and correctness evaluation

Grades

Instructor

Grade distribution · % of letter grades

No grades available yet.

More grade details Grade mix, volume & source data

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

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

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
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": "f01043ff5b775cc35e4a3ff2e1695f5811cb1325b93e77a9c63e395261307474",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}