NS 6300

Last Updated

  • Schedule of Classes - May 8, 2024 7:33PM EDT
  • Course Catalog - May 8, 2024 7:08PM EDT

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

Course information provided by the Courses of Study 2023-2024.

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:

  •   Regular Academic Session.  Combined with: NS 4300

  • 3 Credits GradeNoAud

  • 20438 NS 6300   LEC 001

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  • Instruction Mode: In Person
    Prerequisite: one semester introductory biology lecture (BIOMG 1350, BIOG 1440, or equivalent), biochemistry (NS 3200, BIOMG 3300, or equivalent), and introductory statistics (STSCI 2150, PAM 2100, AEM 2100, or equivalent). Enrollment limited to: senior, junior, and graduate students. Students are required to bring their own laptop to class. Please contact dnsstudentservices@cornell.edu with questions about enrollment.