Tuesday, Jan. 21 - DAILY AGENDA

9:45 - 10:15 Morning Lecture: "From Notebook to the Cloud"

In many courses on data science as well as data science pipelines, mathematical and computational concepts are taught and implemented using Jupyter notebooks.  Although an excellent tool, the Jupyter notebook is only one part of a much greater computing ecosystem.  This talk will take attendees on a tour through this ecosystem by surveying available tools and introducing emerging technologies that can help data science practitioners become more efficient and effective.

8:30 - 9:00 Registration

9:00 - 9:45 KEYNOTE ADDRESS: "Data Science: What is it not?"

Professor Meng, the editor-in-chief of the recently launched Harvard Data Science Review will kick off both series of workshops at the Harvard IACS ComputeFest and the Harvard IQSS DataFest.

PREREQUISITES:  Workshops assume fluency in Python and basic machine learning to the level of  Harvard's

CS 109a or a beginner data science/ML course.

10:15 - 10:30 Coffee Break

10:30 - 12:30 Morning Workshop

The purpose of this module is to introduce participants to some of the big ideas in cloud computing.  The jumping-off point will be breaking down Jupyter notebooks into real Python code followed by some basic tutorials on Python code optimization. Next, participants will explore virtual environments, containers, and virtual machines before learning about microservices.  From here, the module will move into cloud computing and discuss the Google Kubernetes Engine for orchestrating and running containers. Finally, participants will learn how all of this technology is already part of the Amazon Web Services (AWS) platform and will be introduced to the basics of AWS.  If time permits, attendees will be exposed to Dask in order to understand how to scale their applications beyond a single machine.

Dylan Randle 
S.M. Data Science ’20
Bhaven Patel 
M.E. Computational Science and Engineering '20
DH Lee 
AI engineer at Paige AI
Yue Sun
M.E. Computational Science and Engineering '20

12:30 - 1:30 Lunch Break

2:45 - 4:30 AWS SageMaker
This session will explore why AI/ML/DL have become so popular today and discuss various use cases as well as trends such as AI for Good, Digital Disruption, and much more. We will also see how AWS can help with your own machine learning projects, particularly by using Amazon SageMaker.

1:30 - 2:30 Afternoon Workshop

Bill Richmond

AI/ML Evangelist


***An AWS account will be required to participate in the workshops. You will receive a credit code at registration. Before coming to this workshop, please complete the following the installations:  https://github.com/Harvard-IACS/2020-ComputeFest





IACSLogo_RGB_UseOnLightBackground (4).jp