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Big Data Analytics Summer Experience

Big data illustration

Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. Big Data analytics represents a new era of computing, where data in any format maybe processed and exploited to extract insights for industries and organizations to make informed decisions, whether that data is in-place, in motion or at-rest, in large volume, structured or unstructured.

This 7th annual program will introduce advanced Big Data processing and analytics technologies, teach practical skills and practices, and offer hand-on experiences using Amazon Web services and other open-source software and resources to bridge the gap between classroom learning and the real world.

This program will include various enrichment and social activities, such as a visit to a local IBM branch, seminars by guest speakers, and trips to nearby attractions. 

This program is open to undergraduate students, graduate students, and professionals.

A certificate is issued upon completion of the program.

2020 Big Data Analytics Summer School

Session 1: July 5 – July 25, 2020

Session 2: July 12 – Aug. 1, 2020

Topics include:

  • Introduction to Big Data, Data Science, and Cloud Computing.
  • Introduction to Big Data technologies, including Hadoop, MapReduce, and Apache Spark.
  • Data mining with Spark MLlib and RapidMiner.
  • General data analysis, recommender systems, clustering and summarization, predictive analytics.

Download the brochure for details.

Visa information is available for participants.

Big Data Analytics Program Cost

Registration deadline: June 1, 2020.

Option 1:

This option includes the cost of the program/lab fees, administrative fees, housing in a campus residential hall, meals, transportation to/from Columbia airport, local trips, and social activities.

= $3,950 per student

Group Discounts

For a group of five or more students from the same school, the cost of Option 1 is reduced to $3,800 per person in the group.

For every 10 students from the same school, one teacher/staff from this school may accompany their students to participate in the program with all afore-listed costs waived (the cost of airfare is not covered).

Option 2:

This option includes the cost of the program/lab fees, administrative fees, local trips, and social activities. For this option, the student would be responsible for their own transportation, housing, and meals.

= $1,900 per student

Please note: Neither option includes the cost of airfare.

University of Missouri Department of Electrical Engineering and Computer Science

2020 Big Data Analytics Summer School

Session 1: July 5 – July 25, 2020

Session 2: July 12 – Aug. 1, 2020

2020 schedule to come.

Date Topic
July 5

Big Data Analytics Professors

This learning experience will be jointly instructed by Professors Yi Shang and Dong Xu of the MU Electrical Engineering and Computer Science Department, supported by a group of outstanding graduate teaching assistants.

Dr. Yi Shang

Yi Shang PortraitDr. Shang is a Professor and Director of Graduate Studies in the EECS Department. He has published more than 200 refereed papers in international journals and conferences in the fields of artificial intelligence, mobile and distributed computing, bioinformatics, and wireless sensor networks, and holds six U.S. patents. He has worked as a researcher at the University of Illinois at Urbana-Champaign and the renowned Xerox Palo Alto Research Center (PARC), Palo Alto, CA.  He has received research funding from the National Science Foundation, National Institutes of Health, the U.S. Army, DARPA, Microsoft, and Raytheon. Shang received his bachelor’s degree from the University of Science and Technology of China, master’s degree from the Chinese Academy of Sciences, and doctorate from University of Illinois at Urbana-Champaign in 1997. He is a lifetime member of the Association for Computing Machinery and senior member of the Institute of Electrical and Electronics Engineers.

 

Dr. Dong Xu

Dong Xu PortraitDong Xu is Shumaker Endowed Professor of the EECS Department, Director of Information Technology Program, with appointments in the Christopher S. Bond Life Sciences Center and the Informatics Institute at the University of Missouri-Columbia. He obtained his PhD from the University of Illinois, Urbana-Champaign in 1995 and did two years of postdoctoral work at the US National Cancer Institute. He was a Staff Scientist at Oak Ridge National Laboratory until 2003 before joining the University of Missouri, where he served as Department Chair of Computer Science during 2007-2016. His research is in computational biology and bioinformatics, especially machine-learning applications in bioinformatics. He has published about 300 papers. He is Associate Editor-in-Chief of “IEEE/ACM Transactions on Computational Biology and Bioinformatics.” He was elected to the rank of American Association for the Advancement of Science (AAAS) Fellow in 2015.

Big Data Analytics Summer Registration

Visa information for international students:

Students attending this summer programs may enter the United States on a B-2 visa. The program is deemed recreational because no credit is given.

To enroll in this program, please submit:

  1. A completed Registration Form
  2. Payment

You will be notified if you have been accepted into the program.

To register, email a completed registration form to Dr. Shang by the application deadline.

For questions, please call or email:

Yi Shang, PhD
Professor and Director of Graduate Studies
Department of Electrical Engineering & Computer Science (EECS)
573-884-7794
shangy@missouri.edu

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