- Syllabus
- Course Materials on Canvas
- Lecture Slides (Google Drive folder)
| Week | Week Start Date | Topic | Resources and Assignments |
|---|---|---|---|
| 1 | Jan 7 | Introduction to Web Science and Web Architecture | EC0 - Getting Started |
| 2 | Jan 14 | Introduction to Python | Python Google Colab notebook Python lab exercises HW1 - Web Science Intro |
| 3 | Jan 21 | Introduction to Info Vis with R, Python | InfoVis in R Colab notebook InfoVis in Python Colab notebook |
| 4 | Jan 28 | Measuring the Web | |
| 5 | Feb 4 | Archiving the Web | [HW2] - Web Archiving |
| 6 | Feb 11 | Searching the Web | [HW3] - Ranking Webpages |
| 7 | Feb 18 | Social Networks | [HW4] - Exploring Social Networks |
| 8 | Feb 25 | Selection and Social Influence | |
| Mar 6 | Mar 6-11 NO CLASS - Spring Break | ||
| 9 | Mar 12 | Visualizing Social Networks | NetworkX example Colab notebook d3 example at Observable [HW5] - Graph Partitioning |
| 10 | Mar 18 | Disinformation | [HW6] - Analyzing Disinformation Domains |
| 11 | Mar 25 | Collective Intelligence and Recommender Systems | PCI Ch2 (Making Recommendations) code examples [HW7] - Recommender Systems |
| 12 | Apr 1 | Clustering Algorithms | PCI Ch3 (Discovering Groups) code examples [HW8] - Clustering |
| 13 | Apr 8 | Document Filtering (Classification) | PCI Ch6 (Document Filtering) code examples [HW9] - Email Classification |
| 14 | Apr 15 | kNN and Algorithm Summary | PCI Ch8 (Building Price Models) code examples |
| Mon, Apr 24 | last day of classes |