~ Announcement ~

Feed


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.

[1]. https://cloud.google.com/

[2]. https://aws.amazon.com/education/awseducate/?nc1=h_ls