NS 6300

Last Updated

  • Schedule of Classes - October 15, 2026 7:07PM EDT

NS 6300
Proteins, Transcripts, and Metabolism: Big Data in Molecular Nutrition

Course information provided by the 2026-2027 Catalog.

This course will introduce the concepts of big data analysis in the context of transcriptomics and proteomics with a focus on metabolic regulatory networks. Programming in Python will be used, but no prior experience is necessary. Programming will focus on methods to parse large data sets, perform informatics analyses, and build machine learning models. Prior courses in biology and biochemistry are prerequisites. Students must own or have personal access with administrative privileges to a computer with Windows 10 or MacOS 10.14 (or more recent).


Prerequisites background equivalent to: BIOMG 1350 or BIOG 1440 or NS 3200 or BIOMG 3300 or STSCI 2150 or PUBPOL 2100 or AEM 2100.

Enrollment Information Enrollment limited to: graduate students, seniors, and juniors.

Last 4 Terms Offered 2026SP, 2025SP, 2024SP

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: NS 4300

  • 3 Credits GradeNoAud

  • 16418 NS 6300   LEC 001

  •  
    • TR
    • Jan 25 - May 11, 2027

    • Wang, Y

  • Instruction Mode: In Person

    Students are required to bring their own laptop to class.
    Please contact the Division of Nutritional Sciences (DNS) Student Services Office, dnsstudentservices@cornell.edu, with any questions about enrollment