Graph-based networks are a fundamental tool for modeling interdisciplinary concepts for computer
science, economics, social science and communication. With the large-scale data availability, this
course will help students from multiple fields work together to do data mining with different
categories data.
This course will cover basic algorithms, computational models in networks, more advanced and
state-of-the-art research topics such as Online Social Networks and Internet of Things. Students
will be expected to complete paper reviews, Homeworks and Final Project.Graph-based networks are a fundamental tool for modeling interdisciplinary concepts for computers
science, economics, social science and communication. With the large-scale data availability, this
course will help students from multiple fields work together to do data mining with different
categories data.
This course will cover basic algorithms, computational models in networks, more advanced and
state-of-the-art research topics such as Online Social Networks and Internet of Things. Students
will be expected to complete paper reviews, Homeworks and Final Project.
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
By David Easley and Jon Kleinberg
Cornell University
networks, crowds, and markets: reasoning about A highly connected world
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| AssignmentsAssignments assignments |
60 | |
| Final ProjectsFinal Projects final projects |
30 | |
| Tools / Papers ReviewTools / Papers Review tools/papers review |
10 |
