- Syllabus
- Course Materials on Blackboard
- Lecture Slides (Google Drive folder)
| Week | Week Start Date | Topic | Resources and Assignments |
|---|---|---|---|
| 1 | Tues, Jan 19 | Introduction to Web Science and Web Architecture | Personal Intro HW0 - Course Setup |
| 2 | Jan 23 | Introduction to Python | Python Google Colab notebook (direct link) Python Lab Exercises (direct link) HW1 - Web Science Intro |
| 3 | Jan 30 | Introduction to Info Vis with R, Python | InfoVis in R Google Colab notebook (direct link) InfoVis in Python Google Colab notebook (direct link) |
| 4 | Feb 6 | Measuring the Web | |
| 5 | Feb 13 | Archiving the Web | HW2 - Web Archiving |
| 6 | Feb 20 | Searching the Web | HW3 - Ranking Webpages |
| 7 | Feb 27 | Social Networks | HW4 - Exploring Social Networks |
| 8 | Mar 6 | Selection and Social Influence | |
| 9 | Mar 13 | Visualizing Social Networks | NetworkX example notebook (direct link) HW5 - Graph Partitioning |
| 10 | Mar 20 | Disinformation | HW6 - Analyzing Disinformation Domains |
| 11 | Mar 27 | Collective Intelligence and Recommender Systems | PCI Ch 2 notebook (direct link) HW7 - Recommendation Systems |
| 12 | Apr 3 | Clustering Algorithms | HW8 - Clustering |
| 13 | Apr 10 | Document Filtering (Classification) | HW9 - Email Classification |
| 14 | Apr 17 | kNN and Algorithm Summary | |
| Wed, Apr 28 | last day of classes |