NS 6300

Last Updated

  • Schedule of Classes - November 16, 2024 7:33PM EST
  • Course Catalog - November 16, 2024 7:07PM EST

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

Course information provided by the Courses of Study 2024-2025.

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).

When Offered Spring.

Permission Note Enrollment limited to: undergraduate seniors, juniors and graduate students.
Prerequisites/Corequisites Prerequisite: at least one of the following courses: BIOMG 1350, BIOG 1440, NS 3200, BIOMG 3300, STSCI 2150, PUBPOL 2100, or AEM 2100.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: NS 4300

  • 3 Credits GradeNoAud

  • 11480 NS 6300   LEC 001

  •  
    • TR
    • Jan 21 - May 6, 2025

    • Vacanti, N

  • Instruction Mode: In Person
    Prerequisite: BIOMG 1350 or BIOG 1440 or equivalent, NS 3200 or BIOMG 3300 or equivalent, and STSCI 2150 or PAM 2100 or AEM 2100 or equivalent. Enrollment limited to: graduate students, seniors, and juniors. Students are required to bring their own laptop to class. Please contact Division of Nutritional Sciences (DNS) Student Services, dnsstudentservices@cornell.edu, with questions about enrollment.