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Web Mining and Graph Analytics

MET CS 688

Prerequisites: MET CS 544, or MET CS 555 or equivalent knowledge, or instructor's consent. - The Web Mining and Graph Analytics course covers the areas of web mining, machine learning fundamentals, text mining, clustering, and graph analytics. This includes learning fundamentals of machine learning algorithms, how to evaluate algorithm performance, feature engineering, content extraction, sentiment analysis, distance metrics, fundamentals of clustering algorithms, how to evaluate clustering performance, and fundamentals of graph analysis algorithms, link analysis and community detection based on graphs. Laboratory Course.

FALL 2025 Schedule

Section Instructor Location Schedule Notes
A1 Hajiyani CAS B06A T 6:00 pm-8:45 pm

FALL 2025 Schedule

Section Instructor Location Schedule Notes
A2 Vasilkoski SHA 206 R 6:00 pm-8:45 pm

FALL 2025 Schedule

Section Instructor Location Schedule Notes
O1 Rawassizadeh ARR 12:00 am-12:00 am Students are assigned into class sections of approximately 15 with a teaching team member. Please note the prerequisite(s): completion of the prerequisite course or consent of the instructor is required. On-campus F1 and J1 student visa holders should contact the ISSO at isso@bu.edu before registering for any online courses.

SPRG 2026 Schedule

Section Instructor Location Schedule Notes
A1 Hajiyani FLR 123 M 6:00 pm-8:45 pm

SPRG 2026 Schedule

Section Instructor Location Schedule Notes
O2 Rawassizadeh ARR 12:00 am-12:00 am “Students are assigned into class sections of approximately 15 with a member of the teaching team. Please note the prerequisite(s): completion of the prerequisite course or consent of the instructor is required. On-campus F1 and J1 student visa holders should contact the ISSO at isso@bu.edu before registering for any online courses

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.