The 3rd Summer Institute in Statistics for Big Data (SISBID 2017) will be held at the University of Washington in Seattle, Washington during July 10-28, 2017. The Institute consists of a series of two-and-a-half day workshops (modules) designed to introduce biologists, quantitative scientists, and statisticians to modern statistical techniques for the analysis of Biological Big Data. The format will involve formal lectures, computing labs, and hands-on case studies. The instructors are world-class faculty with expertise in all aspects of Biological Big Data. Participants are encouraged to enroll in multiple modules.

2017 Modules

Zeros and Ones on a blue background
SISBID
Module 1
Data Wrangling with R
  • Meeting Times
    Mon, Jul 10, 8:30am - Wed, Jul 12, 12pm PST
BD1701: Data Wrangling with R
Zeros and Ones on a blue background
SISBID
Module 2
Visualization of Biomedical Big Data
  • Meeting Times
    Wed, Jul 12, 1:30pm - Fri, Jul 14, 5pm PST
BD1702: Visualization of Biomedical Big Data
Zeros and Ones on a blue background
SISBID
Module 3
Reproducible Research for Biomedical Big Data
  • Meeting Times
    Mon, Jul 17, 8:30am - Wed, Jul 19, 12pm PST
BD1703: Reproducible Research for Biomedical Big Data
Zeros and Ones on a blue background
SISBID
Module 4
FULL Supervised Methods for Statistical Machine Learning
  • Meeting Times
    Wed, Jul 19, 1:30pm - Fri, Jul 21, 5pm PST
BD1704: FULL Supervised Methods for Statistical Machine Learning
Zeros and Ones on a blue background
SISBID
Module 5
Unsupervised Methods for Statistical Machine Learning
  • Meeting Times
    Mon, Jul 24, 8:30am - Wed, Jul 26, 12pm PST
BD1705: Unsupervised Methods for Statistical Machine Learning