Advanced Computer Networks (X_405082) 2021

In this course we will discuss advanced topics in computer networking. We will cover concepts and designs for modern network systems such as data center networks, software-defined networks, programmable networks, and cutting-edge networking research topics (such as network automation, in-network computing, and machine learning for networking).

The objectives of this course are:

• to learn about the recent/current developments in computer networks
• to understand and reason about the design of these technologies
• to be able to build complex networked systems and evaluate them

The study guide of the course can be found here. The course involves heavy reading of research papers. If you need some guidance on how to read a research paper, please check this article.

The code templates for the lab assignments are publicly released here.

Course Information

Lecturer: Lin Wang
TA: Vinod Nigade, George Karlos

Lectures: Tue, Wed 11:00 - 12:30 hybrid (on-campus and streamed on Zoom)

Office Hours: Every Wednesday before the lecture (09:30 - 10:30) on Zoom. Not mandatory, but feel free to join if you have any questions/comments regarding the lectures, the project, or the course in general.

Literature: No set textbook. All material will be made available during the course. Please check the Modules section on Canvas for weekly reading lists.

Grading:

• Practical projects: 50%
• Final exam (timed quiz on Canvas): 50%

PASS: iff you obtain no less than 25/50 in both components. Details for grading can be found in the first lecture slides.

Schedule