Big Data Summer School
Big Data Summer School
2017 Dates: June 12-16, 2017
Location: University of Iowa campus
Eligible participants: Current and incoming first-year UI students. Other college students or high school students over 18 years of age may also be accepted.
Program details: The Big Data Summer School is cost-free to participants. Stipends of around $300 will be provided for participants who complete the week, plus lunch each day. To apply click here. We will start reviewing applications March 31. All interested students regardless of background are encouraged to apply, preferably by March 31. Registration will close on May 15th.
Out-of-town participants will have to make their own arrangements for housing and transportation.
2017 Program Description
Practice: Guided Labs in interactive technology-enhanced room: details TBD
These labs are prepared by Computer Science, Mathematics, and Statistics and Actuarial Science faculty members at the University of Iowa. We will provide hands-on experience using computers to classify data or gather information from diverse applications. We will introduce an easy programming language to handle the datasets and to process the data. Topics include probability, linear regression, and statistical inference and datasets may be from diverse problems in biology, chemistry, social studies, political science, even music. Similar techniques are used by Google, Amazon, Netflix, and other well-known companies.
Lunch: provided by organizers
Main organizer: Isabel Darcy, Mathematics
Large Data Analysis is a new area that relates to statistics, computer science, and mathematics about handling, processing, and extracting information from large datasets. The organizers of the Big Data Summer School are faculty members at the University of Iowa from the Departments of Computer Science, Mathematics, and Statistics and Actuarial Science. They were instrumental in establishing an undergraduate certificate in Large Data Analysis, starting Fall 2015. Students majoring in those three areas are eligible for the certificate program. For more information about the certificate, look here: https://www.cs.uiowa.edu/undergraduate-programs/large-data-analysis-certificate
Testimonials from 2016 Big Data Summer School
"I had an excellent time here! The morning talks are refreshing, interesting, and provide insight into real-world Big Data applications. The guided instruction in the late morning and early afternoons are great as they introduce new concepts and robust problems to solve. Every presenter and instructor was helpful, kind, and never hesitated to answer any question that came up. I would recommend this program to anyone who wants a jumpstart into the world of data." ~ Anthony Pizzimenti
"Thank you so much for this wonderful camp. It was an opportunity to learn, meet new people, and have fun. All of the teachers were very nice too, especially Prof. Oliveira. Thanks again, and enjoy the rest of your summer." ~ Daniel Kelly
Testimonials from 2015 Big Data Summer School
"My experience at the University of Iowa's Big Data Summer School was incredible. It absolutely exceeded my expectations. As an incoming freshman, attending Big Data was my first experience on campus and I feel it was an excellent introduction to the University of Iowa campus. Through Big Data, I got to work closely with several mathematics professors as well as speak with numerous other professors at the University, all of whom were at the top of their fields. They never failed to take time to answer questions or chat with me at lunch. It made me feel extremely welcome to the University... I would highly recommend the University's Big Data Summer School to anyone who has an interest in making relationships with professors and an interest in problem solving." ~ Camille Bonar
"The Big Data Summer School was beneficial to all of us I believe....having students from different schools interacting....I'm proud of myself for having learned some knowledge about DATA. So thank you very much to all the Professors who volunteered to give Lectures and more importantly thanks to Professors Oliveira and Stewart for organizing this wonderful program." ~ Nvodia Grace