The Summer Institute for Big Data (SISBID) is designed to introduce biologists, quantitative scientists, and statisticians to modern statistical techniques for the analysis of biological big data.

Each module focuses on a different aspect of Big Data such as organizing and processing data for statistical analysis, visualizing data, or the challenges surrounding reproducible research.

  • The two-and-a-half day module format includes formal lectures, computing labs, and hands-on case studies. Modules run all day Monday/Tuesday and Wednesday morning OR Wednesday afternoon and all day Thursday/Friday.
  • Instructors are world-class faculty with expertise in all aspects of Biological Big Data.
  • Participants are encouraged to enroll in multiple modules to create an experience that best suits their needs. Individuals attending the institute will receive certificates of course completion in recognition of their participation.

2021 Modules

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SISBID
Module 1
Data Wrangling with R
  • Meeting Times
    Mon, Jul 12, 8am - Wed, Jul 14, 11am PST
BD2101: Data Wrangling with R
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SISBID
Module 2
Supervised Methods for Statistical Machine Learning
  • Meeting Times
    Wed, Jul 14, 11:30am - Fri, Jul 16, 2:30pm PST
BD2102: Supervised Methods for Statistical Machine Learning
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SISBID
Module 3
Unsupervised Methods for Statistical Machine Learning
  • Meeting Times
    Mon, Jul 19, 8am - Wed, Jul 21, 11am PST
BD2103: Unsupervised Methods for Statistical Machine Learning
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SISBID
Module 4
Visualization of Biomedical Big Data
  • Meeting Times
    Wed, Jul 21, 11:30am - Fri, Jul 23, 2:30pm PST
BD2104: Visualization of Biomedical Big Data