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Spring 2020
May 07, 2024
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R For Molecular Biosciences - 17300 - BCHM 49500 - 003

For this offering of BCHM 49500 you must enroll in schedule types:
Lecture (LEC) Laboratory (LAB)

CRN Sec Type Cred Cap Act Rem Days Time Dates Location Instructor Notes
Choose one of these Lecture sections:
17300 003 LEC 3 34* 4* 30* W 1:30-3:20pm Jan13-May02 SC G046 Pascuzzi, PE Students will learn R to acquire, clean, explore and analyze biological data sets. Lectures and example data sets will show how data are linked to biological phenomena through human observation or instrumentation with inherent limitations. Students will learn how to organize data sets to optimize clarity and analytic possibilities while minimizing errors with examples drawn from the literature or biological databases. R programming will be taught starting with small-scale data such as drug sensitivity assays, qPCR, and metabolomics, moving to genome-scale analyses such as gene expression and pathway analysis later in the course. These skills will be taught in the light of enabling reproducible research through clear documentation of data sets and analyses. Relevant concepts from statistics will be reviewed, but it is assumed that students are familiar with basic statistical analyses.”
    And choose one of these Laboratory sections:
17303 004 LAB 0 34* 4* 30* F 1:30-3:20pm Jan13-May02 SC G046 Pascuzzi, PE Students will learn R to acquire, clean, explore and analyze biological data sets. Lectures and example data sets will show how data are linked to biological phenomena through human observation or instrumentation with inherent limitations. Students will learn how to organize data sets to optimize clarity and analytic possibilities while minimizing errors with examples drawn from the literature or biological databases. R programming will be taught starting with small-scale data such as drug sensitivity assays, qPCR, and metabolomics, moving to genome-scale analyses such as gene expression and pathway analysis later in the course. These skills will be taught in the light of enabling reproducible research through clear documentation of data sets and analyses. Relevant concepts from statistics will be reviewed, but it is assumed that students are familiar with basic statistical analyses.”
 
* Cross-listed Section. For cross-list values, hover over Cap Act Rem figures or drill down to section detail by selecting the CRN.


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