🌿 CS305 — GRAPH THEORY 🌏
A concise introduction to graph models, core algorithms (search, MST, shortest paths, matchings, flows), theoretical concepts and applications, with lab implementations and complexity analysis. Prerequisite: discrete mathematics and programming.
📚 Additional Lecture Drive Links
| # | Resource | Actions |
|---|---|---|
| 1 | Graph Theory | |
| 2 | Tutorial 1 | |
| 3 | Tutorial 2 | |
| 4 | Tutorial 3 | |
| 5 | Tutorial 4 | |
| 6 | Tutorial 5 | |
| 7 | Tutorial 6 | |
| 8 | A first course in graph theory by Gray | |
| 9 | Graph theory with applications by Bondy | |
| 10 | Graph Theory - Deo | |
| 11 | Lec 01 | |
| 12 | Lec 02 | |
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| 41 | Lec 31 |
📑 Available Pyqs
📤 Contributing
How to add resources
Option A: Upload PDFs
CS301/
├── CS301_Mid_2024.pdf
├── CS301_End_2023.pdf
└── CS301_Notes_TopicX.pdfOption B: Add Drive Links (Recommended)
Add your Google Drive share link to the table above following the existing format.
📝 Naming Convention
- For exams:
CS301_Mid_YYYY.pdforCS301_End_YYYY.pdf - For notes:
CS301_Lecture#_Topic.pdf - For assignments:
CS301_Assignment#_YYYY.pdf
💡 Important: Only add files you have permission to share
Need help? Open an issue or contact the maintainers