# kxxwz/SJTU-Courses

上海交通大学课程资料分享

Repository: https://github.com/kxxwz/SJTU-Courses
Canonical: https://ross.abutalabs.com/products/sjtu-courses
License: CC-BY-SA-4.0
License Family: other
Topics: sjtu, courses
Last push: 2020-04-17T00:59:33+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3151, "days_push": 2330, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9603, forks 2192 (observed 2026-08-28T04:10:36.187250+00:00)

## What it is
A community-maintained repository of course materials, notes, and past exams for Shanghai Jiao Tong University courses, inspired by similar course-sharing projects at other universities. It covers CS, EE, and math courses like data structures, algorithms, machine learning, and AI.

## Use cases
- find lecture notes for SJTU data structures course
- download past exams for SJTU algorithms class
- review machine learning course materials before enrolling
- share my course notes with underclassmen
- look up what a SJTU course is actually like before choosing it
- get study resources for artificial intelligence course EI339

## When to choose
- you are an SJTU student looking for shared course materials for the listed courses
- you want to contribute your own notes and exams to help other students

## When to avoid
- you need course materials for a different university
- you need up-to-date official course syllabi rather than student-shared notes
- you intend to use the materials commercially

## Facets
- artifact type: dataset
- maturity: maintenance
- function: documentation, developer-tools
- domain: education, tutorials
- platform: cross-platform
- tags: course-materials, shanghai-jiao-tong-university, study-notes, exam-papers, community-shared, awesome-lists

## Member repositories
- kxxwz/SJTU-Courses (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:36.187250+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:21:53.739767+00:00, confidence not recorded.
  - readme: https://github.com/kxxwz/SJTU-Courses (fetched 2026-08-28T04:10:36.187250+00:00, sha 3306095e0f83)
- Data as of 2026-08-30T08:39:29.467469+00:00.