This is the repository for the Algorithms and Data Structures II course, offered by the Department of Computer Engineering and Automation (DCA) of the Technology Center (CT) at the Federal University of Rio Grande do Norte (UFRN).
The DCA aims to train professionals capable of designing and developing computer systems for industrial automation, embedded systems, software systems, distributed systems, computer networks, and information systems. The CT offers undergraduate and graduate courses in Engineering. This course is part of the curriculum of the Computer Engineering program at DCA/UFRN.
- 📚 Coscia, Michele. The Atlas for the Aspiring Network Scientist
- 📚 Newman, Mark. Networks
- 📚 Grimmer, Justin; Roberts, Margaret E.; Stewart, Brandon M. Text as Data: A new framework for Machine Learning and the Social Sciences
- 📚 Knickerbocker, David. Network Science with Python
Tool | Link |
---|---|
😃 Networkx | networkx.org |
⚙️ Gephi | gephi.org |
🚀 OSMnx | github.com/gboeing/osmnx |
💾 Dataset | snap.stanford.edu/data |
Week 01
Course Outline: Provides an overview of the course structure and topics covered.
- 🎉 GitHub Education Benefits
- GitHub Education Pro: Get access to the GitHub Education Pro pack by visiting GitHub Education
- 📖 Learning Resources
- GitHub Learning Game: Check out the interactive Git learning game at GitHub Learning Game
- Basic Python: Enhance your Python skills through the Kaggle Python course.
- 🎉 GitHub Education Benefits
Network Fundamentals I: Outline, applications, math and graph theory.
Network elements using networkx tool.
- 📚 Further reading: chapters 2, 3, 6 and 7 of the book The Atlas For The Aspiring Network Scientist.
Week 02
Network Fundamentals II: Probability, extended graphs, matrices, degree and representation.
Extended graphs and representation using networkx tool.
- 📚 Further reading: chapters 7, 8, 9 of the book The Atlas For The Aspiring Network Scientist.