TTh 10:10am–11:25am
Every section meets at this time.
2 of 2 sections have room
Prerequisites Prerequisites: The class assumes students are familiar with elementary concepts of probability (any class that includes probability suffices), and took one class of data structures or has experience programming with data.
Description
Introduction of fundamental ideas and algorithms on networks of information collected by online services. Properties pervasive in large networks, dynamics of individuals that lead to large collective phenomena, mechanisms underlying the web economy, and results and tools informing societal impact of algorithms on privacy, polarization and discrimination covered.
Reviews
Course experience
Aggregated across everyone who has taught this course.
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Instructor quality
n=6, 2013–2017
Aggregated across every course Augustin Chaintreau has taught.
Teaching quality
3.9 / 5
Grading fairness
No signal
Workload
No signal
Difficulty
3.9 / 5 · Hard
Overall sentiment
Mixed
Sections2
- 6 of 70 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- 88 of 99 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
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Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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