# zhangyikaii/NJUCS-Course-Material

南京大学计算机系 课程资料 作业 代码 实验报告 NJU-CS 课程分享计划 :rice:​

Repository: https://github.com/zhangyikaii/NJUCS-Course-Material
Canonical: https://ross.abutalabs.com/products/njucs-course-material
Language: JavaScript
License: CC-BY-SA-4.0
License Family: other
Last push: 2022-10-02T07:22:09+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2479, "days_push": 1431, "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 1465, forks 161 (observed 2026-08-28T04:04:48.343787+00:00)

## What it is
A community-shared collection of course materials, homework, code, and lab reports for Nanjing University's Computer Science (NJU-CS) program. It covers courses like machine learning, SICP, operating systems, computer networks, and more.

## Use cases
- find NJU computer science course materials
- get homework and lab report examples for NJU-CS courses
- study machine learning or SICP with real course assignments
- prepare for NJU CS exams with past coursework
- reference student implementations of course projects

## When to choose
- you are a Nanjing University CS student looking for course references
- you want real-world examples of assignments and lab reports for these specific courses
- you need study material for courses like OS, networks, or machine learning

## When to avoid
- you need official or up-to-date course content
- you are looking for structured tutorials rather than raw student submissions
- you need materials for universities other than NJU

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: education, tutorials
- platform: cross-platform
- tags: course-materials, nanjing-university, computer-science, homework, lab-reports, study-notes

## Member repositories
- zhangyikaii/NJUCS-Course-Material (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:48.343787+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 2026-08-30T04:35:07.891527+00:00, confidence not recorded.
  - readme: https://github.com/zhangyikaii/NJUCS-Course-Material (fetched 2026-08-28T04:04:48.343787+00:00, sha ba244e1a50a2)
- Data as of 2026-08-30T08:39:29.467469+00:00.