Weekly Schedule

The following is the weekly schedule for the course.The schedule will be firmed up as students choose their presentation slots.

In the weekly schedule, I have indicated the material that you need to read. Whenever there is a reference to the textbook,  I will be lecturing. The papers will be presented by students. Each presentation will be 30 minutes followed by 15 minutes of discussion (sometimes we may extend these times) and each presenter will be required to submit (at the time of the presentation) a 5-7 page critique of the paper. This will count towards one of the two paper critiques. Requirements for the paper critiques are given here. Note that the papers to present are not yet indicated -- they will come later.

Week 1 - January 8, 2019

Introduction

Week 2 - January 15, 2019

Distributed Data Stores

Week 3 - January 22, 2019

Main Memory Systems

Week 4 - January 29, 2019

MapReduce-based data management

Week 5 - February 5, 2019

Stream processing systems

Week 6 - February 12, 2019

Graph databases

Week 7 - February 19, 2019 (Reading week, no class)

Week 8 - February 26, 2019

Graph analytics

Week 9 - March 5, 2019

Machine learning for big data analytics

Week 10 - March 12, 2019

RDF data processing

Week 11 - March19, 2019

Open topic -- based on your choice

Week 12 - March 26, 2019

No class

Week 13 - April 2, 2019

Project presentations

April 4, 2019

Project presentations