Big Data Summer School 2016

2016 Program Description

Presentations: 45-minute general talk: 9:00 a.m.-9:45 a.m. Location: 3321 Seamans Center (SC)

Monday, June 13th - Talk: Nick Street (Business)
Tuesday, June 14th - Talk: Zubair Shafiq (Computer Science)
Wednesday, June 15th - Talk: Marc Linderman (Geography)
Thursday, June 16th - Talk: Tom Bair (DNA facility)
Friday, June 17th -  Talk: Tianbao Yang (Computer Science)

Practice: Guided Labs in interactive technology-enhanced room: 10:00 a.m.-3:00 p.m. - 1022 Main Library Tile Classroom (LIB)

Monday, June 13th - Introduction to R - Kate Cowles (Statistics and Actuarial Science)
Tuesday, June 14th - Probability & Statistics - David Stewart (Mathematics)
Wednesday, June 15th - Learning from Data - Kate Cowles (Statistics and Actuarial Science)
Thursday, June 16th - Parallelism for Large Data - Suely Oliveira (Computer Science)
Friday, June 17th - Clustering for Data Analysis - Isabel Darcy (Mathematics)

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 (11:30-12:30)

Main organizer: Suely Oliveira, Computer Science

Co-organizers: Kate Cowles, Statistics and Actuarial Science; Isabel Darcy, Mathematics; David Stewart, Mathematics