# OpenCSE

> Distraction-free academic resources, curriculum guides, course outcomes, and verified study materials for Computer Science & Engineering students.

OpenCSE is an open, structured academic platform organizing Computer Science curricula into Outcome-Based Education (OBE) course outcomes (CO1-CO5), comprehensive topic study notes, and supplemental slide decks.

## Academic Curricula & Subjects

- [Operating Systems (22CH362)](https://opencse.in/subject/sub_os): Process management, memory management, file systems, and concurrency control in modern operating systems. (Credits: 3, Year: 2nd)
- [Data Structures and Algorithm (22CH342)](https://opencse.in/subject/sub_dsa): In-depth study of arrays, linked lists, stacks, queues, trees, and graphs, focusing on algorithmic efficiency. (Credits: 3, Year: 2nd)
- [Object Oriented Programming (22CH331)](https://opencse.in/subject/sub_oop): Principles of OOP including encapsulation, inheritance, and polymorphism using modern design patterns. (Credits: 3, Year: 2nd)
- [Probability and Statistics (22CH311)](https://opencse.in/subject/sub_prob): Foundations of probability theory, statistical inference, and their applications in data analysis. (Credits: 3, Year: 2nd)
- [Theory and Design of Programming Languages (22CH321)](https://opencse.in/subject/sub_tdpl): Study of programming language paradigms, syntax, semantics, and implementation techniques. (Credits: 3, Year: 2nd)

## Institutional & Editorial Pages

- [About OpenCSE](https://opencse.in/about): Educational mission, curriculum standards, and editorial review processes.
- [Contact & Errata](https://opencse.in/contact): Direct academic inquiry channel, error reporting, and curriculum suggestions.
- [Privacy Policy](https://opencse.in/privacy): Zero student telemetry data collection and Google AdSense compliance disclosures.
- [Terms of Service](https://opencse.in/terms): Non-commercial academic usage terms and intellectual property rights.
- [Content & Copyright Policy](https://opencse.in/content-policy): Human-in-the-loop review disclosures, DMCA copyright takedown procedure, and academic errata guidelines.

## Machine-Readable Data Feeds

- [Full Curriculum Text (llms-full.txt)](https://opencse.in/llms-full.txt): Complete syllabus text and topic breakdowns for AI agents.
- [Sitemap XML](https://opencse.in/sitemap.xml): XML sitemap of all indexed courses and pages.
- [Curriculum API JSON](https://opencse.in/api/full-subjects): Real-time JSON dataset of active courses, COs, and study materials.
- [Platform Configuration](https://opencse.in/api/config): Public platform settings and contact routing.