Philip Chan
322 Harris Center, 674-7280

http://www.cs.fit.edu/~pkc/classes/ml-internet/
Office Hours: MW 1-3pm (or by appointment)

This course explores machine learning and data mining algorithms with applications to the Internet, particularly in areas such as the web and security. One research paper is discussed in each class. Each student will implement existing algorithms in the research papers. The term project is a mini-research project that tries to improve an existing algorithm. Topics can be selected by the students. A detailed schedule is on the course website. Topics include:

• intrusion detection
• microblogging
• news articles
• personalization
• search engines
• social networks

Evaluation

• Homework assignments [implementing existing algorithms] (50%)
• Mini-research term project [designing/implementing improved algorithms] (20%)
• Quizzes on reading assignments (30%)
• A: 90%, B: 80%, C: 70%, D: 60%

Policies

• Students are encouraged to help each other on assignments, but plagiarism (copying) is prohibited.
  • first violation: zero on assignment/test
  • second violation: 'F' for the course
• Late assignments are accepted, but 20% is deducted for each day.
• Documentation constitutes 10% of each programming assignment.

Prerequisites

• CSE 4081/5211 Analysis of Algorithms or CSE 4301/5290 Artificial Intelligence
• Basic probability and statistics
• Proficient in programming