Big Data Day Camp
Real-Time IoT - March 20-21, 2019
Amazon Web Services
Distinguished Speakers in Communication Theory & Systems
Seminar Series Fall 2018

2018-19 Schedule

October 25-26, 2018
Big Data Tools and Techniques

January 14-15, 2019
Dashboards and Data Visualization Using Tableau

March 20-21, 2019
Real-Time IoT

May 16-17, 2019
Tech Trends Studio – Technology expo and hands-on presentations

Who is this for? Industry professionals, researchers and graduate students.
Learn how to use data to make wise, actionable data driven decisions! The future is Big Data, and the critical value and demand for Data Scientists, Machine Learning Engineers, and Data Engineers is clear, as demonstrated by the number of job postings and three-figure compensations.

How is it structured? Qualcomm Institute’s series of day camps provide participants with practical, hands-on learning experiences, including:

  • The latest innovations for analyzing data and delivering value
  • How to conquer technical Big Data obstacles
  • Introduction to Big Data platforms and best practices
  • How to select the most appropriate Big Data technology
  • Essential skills to design, build, test and evaluate data analytics approaches
  • Ways to advance analytics and interpret the results
  • Resources, skills, and strategy for your next Big Data project


It is hard to imagine life without your Smartphone – you have come to rely on it so much – for your work; to stay in touch with family and friends; to capture and share those special moments; to find your way around in a new neighborhood. Did you ever wonder how and when all this happened? Or how and when GPS sensors came to be in your cell phone?

The Real-Time IoT workshop covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can employ in designing novel systems. The workshop has theory and lab sections. In the lab sections you will learn hands-on IoT concepts such as sensing, actuation and communication. This workshop also includes an introduction to Big Data, Machine Learning, and IoT Data Analysis. In the final Capstone Project, you’ll apply the skills you learned on a project of your choice.

Only 20 seats available. Early Bird Registration for Industry Professionals is at $850. Price goes up to $950 after February 28th.

DAY 1 - 8:30AM to 4:30PM

8:30AM – Welcome and Introduction

9:00AM – Internet of Things: How did we get here?

10:00AM – Building a Hardware and Software Development Environment for IoT

12:00PM – Lunch Break

1:00PM – Setting up and Using Cloud Services for IoT

Description: Provide a hands on introduction to the Amazon AWS platforms and to some of its core services. We recommend you sign up for a 12 month free trial at prior to the class.
Some of the services covered include Elastic Cloud Compute (EC2), Simple Storage Service (S3), Relational Data Service (RDS),  iOT SDK and Cloud Vision services. We will also cover REST API’s, JSON data structure and MQTT protocol.
After this session, you will be ready for the Data Science class on the following day where you will learn about running Machine Leaning projects on AWS.
4:00PM – Quick Recap of the Day

4:30PM – End of Day 1

DAY 2 - 8:30AM to 4:30PM

8:30AM – Data Modeling in the Age of Big Data and IoT

9:30AM – Intro to Big Data

10:30AM – Basic Machine Learning Concepts and Methods

11:15AM – Learning for IoT Data Analysis

12:00PM – Lunch

1:00PM – Qualcomm Institute Tour

1:45PM – Hands-on Project: Small Group Team work on Case Study and Discussion

4:00PM – Final Discussion, Overview, and Conclusion

4:30PM – Workshop ends

  • Space is limited to 20 attendees for each camp.
  • Industry Registration for each day camp is $950 (Early Bird rate is $850)
  • Academic Registration
    • Faculty, Staff, and Post-Docs qualify for an educational rate of $500
    • Students qualify for a rate of $350
  • Reserved parking is available, but limited, and will be assigned on a first-come, first-serve basis.


  • Natasha Balac
    Natasha Balac Director, Interdisciplinary Center for Data Science (ICData) at UCSD
  • Harinath Garudadri
    Harinath Garudadri Associate Research Scientist, Qualcomm Institute
  • Ganz Chockalingam
    Ganz Chockalingam Principal Engineer, Qualcomm Institute
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