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Course Description: Continuation of COMS W4111-Introduction to Databases, covers the latest trends in both database research and industry. Programming projects in Python are required.

Prerequisites:

• COMS W4111 (equivalent courses taken elsewhere are acceptable as well)
• Working knowledge of Python

Students need permission from the instructor if they do not have these prerequisites. Undergraduate students are welcome to register.

Topics (subject to change):

• Information Retrieval
• Web Search
• Information Extraction
• Data Mining
• OLAP
• Non-traditional DBMSs
• ...

Readings: No required textbook, but will have readings from multiple sources, including research papers and:

• Christopher D. Manning, Prabhakar Raghavan, Hinrich Schuetze, Introduction to Information Retrieval, Cambridge University Press, 2008 (available electronically)
• Jure Leskovec, Anand Rajaraman, Jeff Ullman, Mining of Massive Datasets, 3rd edition, Cambridge University Press, 2019 (available electronically)

Lectures: Tuesdays, 12:10 n.-2:00 p.m. ET, 750 Schapiro CEPSR

Grades:

• 50% projects: 3 programming projects in Python
• 25% midterm exam: Tue Mar 5, during lecture time (closed book, closed notes, covering first half of course)
• 25% final exam: Tue May 7, 9:30-11:00 a.m. ET (closed book, closed notes, covering second half of course)

Instructor: Prof. Luis Gravano (pronouns: he, him, his)

• Office Hours:
  • Wednesdays, 9:30-10:30 a.m. ET: online (link)
  • Thursdays, 9:30-10:30 a.m. ET: in person at 706 Schapiro CEPSR
  • By appointment by email
• Email: gravano@cs.columbia.edu

Instructional Assistants:

• Lara Karacasu, lk2859@columbia.edu
• Lucy King, lk2936@columbia.edu
• Divyang Mittal, dm3880@columbia.edu
• Gargi Patil, gp2723@columbia.edu

The full office hours schedule, including links for online office hours, is available in a Google Calendar. You can find the link to the Google Calendar in an Announcement on CourseWorks.