CS535 Big Data

Computer Science Department

Big Data: Schedule

CS535
Spring 2021

Code of Conduct

Note that this schedule will be altered during the semester. Please make sure to check it every week.

Big Data Frameworks: Week 1 - Week 5

Week 1 (1/18-1/24)

Topics
Introduction to Big Data
Course Introduction

Readings, Lecture Notes/ Video
Available in Canvas

CSU Academic Calendar 2020-21 [Link]

Week 2 (1/25-1/31)

Topics
Data process paradigms for Big Data
Scalable Distributed File Systems: Google File System I and II

Readings, Lecture Notes/ Video
Available in Canvas

Notes
CSU Academic Calendar 2020-21 [Link]

Week 3 (2/1-2/7)

Topics
Distributed Computing Models for Scalable Batch Computing: In-Memory Cluster Computing- Apache Spark (Part A)

Readings, Lecture Notes/ Video
Available in Canvas

Week 4 (2/8-2/14)

Topics
Distributed Computing Models for Scalable Batch Computing: In-Memory Cluster Computing- Apache Spark (Part B)

Readings, Lecture Notes/ Video
Available in Canvas

Week 5 (2/15-2/21)

Topics
Real-time Streaming Computing Models: Apache Storm and Twitter Heron

Readings, Lecture Notes/ Video
Available in Canvas

Guided Exploration for Big Data Analytics Research (GEAR) [Visit the GEAR Session page]
The CS535 Guided Exploration for Big Data Analytics Research (GEAR) Sessions are designed to provide a guided learning environment for advanced topics in Big Data analytics research. GEAR involves active participation from students. The class will involve lectures (up to 75%) discussing fundamental concepts of the targeted topic and about 25% of the class will be based on student-led research discussions. Students will provide a critical review of cutting-edge research papers. These discussions provide students an opportunity to extend their knowledge and concepts covered in the lectures to real-world problems, and further explore future research directions. More info

[GEAR Session I] Peta-scale Storage Systems

Duration
Week 6 and 7: 2/22 - 3/7

Topics
Peta-scale Storage Systems
Scalable NoSQL Systems: DHT based key-value storage

Readings, Lecture Notes/ Video
Available in Canvas

[GEAR Session II] Machine Learning for Big Data

Duration
Week 8, 9, and 10: 3/8 - 3/28

Topic
Deep Learning for Big Data
- Deep Learning with PyTorch and TensorFlow

Readings, Lecture Notes/ Video
Available in Canvas

3/24: TP Proposal presentation

[GEAR Session III] Big Graph Analytics with Social Media Analysis

Duration
Week 11 and 12: 3/29 - 4/11

Topic
Big Graph Analytics with Social Media Analysis

Readings, Lecture Notes/ Video
Available in Canvas

Week 13: Spring Recess - No Class

[GEAR Session IV] Algorithmic Techniques for Big Data

Duration
Week 14 and 15: 4/19-5/2

Topics
Algorithmic Techniques for Big Data

Readings, Lecture Notes/ Video
Available in Canvas

[Term Prject Presentation Week] Week 16

Schedule
TBA