# HuangCongQing/UCAS_Course_2019

中国科学院大学2019-2020课程（秋季，春季，夏季）

Repository: https://github.com/HuangCongQing/UCAS_Course_2019
Canonical: https://ross.abutalabs.com/products/ucas_course_2019
Language: HTML
License: MIT
License Family: permissive
Topics: ucas, ucas-course, sciences, latex, python3, cpp11
Last push: 2023-08-22T07:29:21+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2542, "days_push": 1107, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1277, forks 266 (observed 2026-08-28T04:04:13.261146+00:00)

## What it is
A curated collection of University of Chinese Academy of Sciences (UCAS) 2019-2020 course materials including PPT slides for courses like advanced AI, pattern recognition, computer vision, deep learning, and algorithms. It serves as a shared study resource for graduate students.

## Use cases
- find UCAS course slides for pattern recognition
- study materials for advanced artificial intelligence course
- download computer vision lecture PPTs
- deep learning course notes from UCAS
- prepare for UCAS graduate courses
- reference algorithm design and analysis course materials

## When to choose
- you are a UCAS graduate student looking for past course materials
- you want lecture slides for AI, CV, or deep learning courses taught at UCAS
- you want to preview course content before enrolling

## When to avoid
- you need up-to-date course materials for current semesters
- you need official course content or textbooks rather than shared slides
- you need interactive tutorials rather than static PPT files

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: education, tutorials, computer-vision, deep-learning, machine-learning
- platform: cross-platform
- tags: ucas, course-materials, lecture-slides, graduate-courses, chinese, pattern-recognition, reinforcement-learning, algorithms

## Member repositories
- HuangCongQing/UCAS_Course_2019 (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:13.261146+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 2026-08-30T05:02:48.211122+00:00, confidence not recorded.
  - readme: https://github.com/HuangCongQing/UCAS_Course_2019 (fetched 2026-08-28T04:04:13.261146+00:00, sha 40cef354bcae)
- Data as of 2026-08-30T08:39:29.467469+00:00.