Internet Data Science

CS 8803, Georgia Tech, Spring 2022



Welcome! This is a seminar-style course covering cutting-edge research on networking with emphasis on Internet measurements and data analysis. We will discuss impactful papers that introduced either new measurement techniques, datasets, or platforms and tools. Topics will include global routing, cyber attacks, Internet topology, DNS, protocols usage, network reconnaissance, etc. Each student will work on a semester-long class research project. Students taking this class are expected to have good knowledge of Internet protocols (BGP, DNS, …).

In person/online attendance

Everyone – students, faculty, and staff – should complete the Daily Self-Check protocol. If you have any of the symptoms on the checklist, stay home.

In-person attendance is NOT required. You may join online. Attendance either in-person or online IS required.

This is a discussion-oriented course. To encourage participation, meeting recordings WILL NOT be regularly shared. I will do my best to share recordings on demand only to students who have a (documented + good) reason for not being able to attend on that specific day. We will be both synchronous in online and in person for both Tuesday and Thursday lectures. Please note that participation is part of the course grade, so those joining remotely are expected to participate in in-class discussion.


Please see the course schedule for course details. Information about this class will be centralized in Canvas, so make sure to enroll in the class there.


Course Conduct
The standard of conduct in this class is the GT Code of Honor (here) and we should all follow the GT Student-Faculty Expectations (here).
Policy on Collaboration Between Students
Feel free (indeed, you are encouraged) to ask questions on Piazza or offline about assigned readings and projects. Feel free (indeed, you are encouraged) to answer each other's questions. Paper (and dataset) analyses should be written and submitted separately by each student, but discussion about papers in groups is allowed and encouraged within reason (e.g., students should still submit distinct paper analyses). Final projects can be done in groups of up to 2 people (depending on class size).
Respect for Diversity
It is my intent that students from all diverse backgrounds and perspectives be well served by this course. All people have the right to be addressed and referred to in accordance with their personal identity. Your suggestions are encouraged and appreciated. Please let me know ways to improve the effectiveness of the course for you personally or for other students or student groups. In addition, if any of our class meetings conflict with your religious events, please let me know so that we can make arrangements for you. GT offers support for students with specific identities (e.g. LGBTQIA Center, OMED, and Women’s Resource Center), study supports (Tutoring and Academic Support and the Communication Center), mental health resources (CARE), food banks and food security resources (STAR), and resources for veterans, service members, and their families.
Accommodations for Students with Disabilities
If you are a student with learning needs that require special accommodation, contact the Office of Disability Services at (404) 894-2563 or, as soon as possible, to make an appointment to discuss your special needs and to obtain an accommodations letter. Please also email me as soon as possible in order to set up a time to discuss your learning needs.