BIOSM 2350

BIOSM 2350

Course information provided by the 2025-2026 Catalog.

This course introduces students to basic data analysis and programming tools commonly used throughout the life sciences. Students will develop skills in R programming, including data wrangling and cleaning, the principles of open and reproducible science, building maps, and simple linear regression. In the first half of the course (on-line), students will learn R fundamentals and then, in the second half, relocate to Shoals Marine Lab (Gulf of Maine; in-person) to apply their coding skills to long-term data sets (intertidal counts, video fisheries observations, marine mammal censuses), as well as to biological data that they collect in the field around Appledore Island.


Last 4 Terms Offered 2023SU

Learning Outcomes

  • Students will be able to implement best practices for data management.
  • Students will be able to compare and contrast different tools for data management (Excel, SQL, etc.)
  • Students will be able to use R statistical software for basic data cleaning and statistics.
  • Students will be able to use R markdown to build reproducible workflows and documents.
  • Students will be able to adhere to data ethics, especially related to data related to vertebrates.
  • Students will be able to load, clean, and plot simple spatial data in R.

View Enrollment Information

Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one field studies.

  • 3 Credits Graded

  •  1401 BIOSM 2350   LEC 001

    • MTWRFS
    • Jun 15 - Jun 20, 2026
    • Staff

  • Instruction Mode: Distance Learning-Synchronous

    This Summer Session class is offered by the School of Continuing Education and Summer Sessions. For details visit: https://sce.cornell.edu/.

  •  1402 BIOSM 2350   FLD 801

    • MTWRFSSu
    • Jun 22 - Jun 29, 2026
    • Staff

  • Instruction Mode: In Person