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The Course Will Present The Principles of Emerging Interaction Models In On-line Social Environments, Emphasizing Algorithmic Aspects. In Particular, The Course Will Discuss The Topics of Sharing Economy, Trust Systems, Trust-based Recommendation Systems, Strategic Aspects Of Influencers Selection and Influence in Networks, Algorithms For Social Contexts Which Prohibit Payments, Strategic Aspects of The Wisdom of The Crowd, and Strategic Aspects of Crypto-currency Systems. Learning Outcomes# At The End of The Course The Student Will Know# 1. How to Implement Basic Algorithmic Mechanisms For Emerging Multi-agent Interaction in The Internet. 2. How to Use Basic Algorithmic Mechanisms For On-line Social Collaboration. 3. How to Apply a Strategic and Axiomatic Perspective to Data Science In Multi-agent Context.

Faculty: Data and Decision Sciences
|Undergraduate Studies |Graduate Studies

Pre-required courses

(94224 - Data Structures and Algorithms and 94411 - Probability (ie)) or (94224 - Data Structures and Algorithms and 94412 - Probability (advanced)) or (94226 - Introduction to Algorithms and 94411 - Probability (ie)) or (94226 - Introduction to Algorithms and 94412 - Probability (advanced))