~ Announcement ~
Final Project Presentation [posted on Apr 25]
We will hold the final project presentation in this May 10(Fri). The venue and time of this presentation is as follows:
Date: May 10, 2019 (Friday)
Time: 9:00 am - 1:00 pm
Venue: LSB_C1
The 1-person group will have 20 min (including 3 min Q&A) to present your topic. And the 2-people group will have 35 min (including 5 min Q&A) to present. The time-table is as follows:
Group ID | Topic | Period | Members |
---|---|---|---|
1 | Advanced Algorithms behind Flink and Beyond | 9:00am - 9:20am | 1155114881 |
2 | Advances in Distributed Stream Processing | 9:20am - 9:40am | 1155118093 |
3 | Better Support for Distributed Machine Learning Serving Systems | 9:40am - 10:00am | 1155114481 |
4 | Better System Architecture for Neural Networks | 10:00am - 10:20am | 1155114965 |
5 | Optimizing Resource Allocation for Distributed Deep Learning | 10:20am - 10:40am | 1155114887 |
- | 20 min Break | 10:40am - 11:00am | - |
6 | Better Support for Distributed Reinforcement Learning | 11:00am - 11:20am | 1155114524 |
7 | Advances in Container-based systems and Virtualization support | 11:20am - 11:40am | 1155111484 |
8 | Advances in Logging systems for Big Data Processing | 11:40am - 12:15pm | 1155114915, 1155118114 |
9 | Industrial Big Data Processing Systems/ Challenges | 12:15am - 12:35pm | 1155118264 |
See you.
Final Exam [posted on Apr 25]
This is to confirm that the Final Exam will be held as follows:
Date: May 6, 2019 (Monday)
Time: 10:00 am - noon (2 hours)
Venue: LSB_C1
The final exam will be an open-notes exam. Students are allowed to bring paper-copy of the class notes/slides (but no books) into the examination venue. The scope of the final exam will be comprehensive, covering everything from the beginning of the semesters till the end.
See you.
First Tutorial [posted on Jan 9]
We will hold the first tutorial in this Saturday afternoon. The venue and time of this tutorial is as follows:
Date: January 12, 2019 (Saturday)
Time: 2:00 pm - 3:00 pm
Venue: SHB803
In this tutorial, the TAs will help you to complete Homework#0 (e.g., providing hints if you have met abnormal problems). To fully utilize the time, you are suggested to start Homework0 AS SOON AS POSSIBLE. In particular, you would better to set up your account in Google Cloud Platform [1] to get $300 free credit (the suggested platform) or apply for AWS Education program for students [2]. Note that such application can take several hours, therefore, you should start it at your earliest convenient time. Once the account is setup, you can follow Homework#0 to launch instances and setup the cluster accordingly.
See you this Saturday.