Course Syllabus

BINF 3121: Statistics for Bioinformatics Spring 2023 UNC Charlotte

SYLLABUS

Instructors

Ann Loraine - Professor

 

Omkar Marne - Teaching Assistant

Office - Bioinformatics 431

Contact - omarne@charlotte.edu

Phone - 980-890-2644

Meeting - https://calendly.com/omarne

Textbook

Art of R Programming by Norman Matloff

http://freecomputerbooks.com/The-Art-of-R-Programming-Matloff-Norman.html#downloadLinks

Semester

Fall 2023

 

COURSE DESCRIPTION

This 3-credit course introduces data analysis methods using the R programming language for statistics and focusing on a scientific topic important in bioinformatics.

 

PRE/CO-REQUISITES

Please see UNC Charlotte Course Catalog for details. 

Topics

    • Learn about a scientific area where bioinformatics plays a role.
    • Learn to use the R programming language for statistics to analyze a data set. 
    • Become fluent in literate programming using R Markdown.

INSTRUCTIONAL METHODS

    • Students complete homework assignments that build skills in R programming and data analysis.

GRADING

Course grade based on completion of Parts 1, 2 and 3, as follows :

Grade A :

      • Complete Part 1 : Learn R programming (Assignments 1 to 8)
      • Complete Part 2 : Use a complicated R library (Assignment 9)
      • Complete Part 3 : Answer a question or build a visualization tool (Term Project)

Grade B :

      • Complete Part 1 : Learn R programming (Assignments 1 to 8)
      • Complete Part 2 : Use a complicated R library (Assignment 9)

Grade C :

      • Complete Part 1 : Learn R programming (Assignments 1 to 8)

 

POLICIES AND PROCEDURES

    • Please communicate with course personnel using Canvas, not email. 
    • Turn in work using Canvas.

ACADEMIC INTEGRITY at UNC Charlotte

All students are required to read and abide by the Code of Student Academic Integrity.  Violations of the Code of Student Academic Integrity, including plagiarism, will result in disciplinary action as provided in the Code. Definitions and examples of plagiarism are set forth in the Code. The Code is available from the Dean of Students Office or online at: http://www.legal.uncc.edu/policies/ps-105.html. A set of links to various resources on plagiarism and how to avoid it is available at the UNCC Library website.