Welcome to IN5550!
Welcome to our IN5550 course which will guide you through deep learning applications to natural language processing!
The first introductory lecture this term will be held on Thursday, January 20, at 12:15. We will go through course logistics (including routines for assignments and the final project-based exam) and motivate the now dominant use of neural architectures in Natural Language Processing (and most other sub-fields of Artificial Intelligence). The first lecture will be virtual: you can find the room link in the course schedule and in our UiO GitHub repository. Look for further details and updates on the course web page (this page). You can also ask questions via our collective mailbox or Mattermost chat channel.
Subsequent lectures (after the introductory one) will be provided to you in a pre-recorded format. Currently, the plan is that the lecture videos will be published every Tuesday in the second half of the day. You can watch them whenever it is more convenient to you. Each Thursday (at the official designated time slot of 12:15), we will have an interactive Q&A session in Zoom, dedicated to the lecture published on Tuesday. Questions, discussions, etc will happen there.
To prepare for this class, we ask that everyone fill in a brief anonymous survey about their background and request access to the Saga national supercluster.
Group sessions ("labs") on Tuesdays will be held in Zoom for the first two weeks of the course, but after that we hope to be able to move to the physical format, with remote Zoom access still remaining an option. Depending on the corona situation, this may, of course, change any time.
All the code and datasets used throughout the course will be available at our Git repository. Please make sure you have access to it.
Welcome again, and excited to see you in the classrooms!
IN5550 teachers
Andrey, David, Erik, Lilja (in alphabetical order :))