Course Syllabus

BINF 3121: Statistics for Bioinformatics Spring 2025 UNC Charlotte

SYLLABUS

Instructors

Ann Loraine - Professor

Anastasiia Duchenko - Teaching Assistant

Email: aduchenk@charlotte.edu

Office Hours: Thursdays 3-5 via Zoom and by appointment 

Textbook

Art of R Programming by Norman Matloff

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

Semester

Spring 2025

 

COURSE DESCRIPTION

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

PRE/CO-REQUISITES

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.
    • Synchronous, on-line lecture: Mondays 2:30 to 5:15, EST (to join, see Zoom link at left for the upcoming class) 

GRADING

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

Grade A :

      • Complete Part 1 : Learn R & literate programming
      • Complete Part 2 : Explain or use a specialized R library
      • Complete Part 3 : Answer a research question using R and literate programming 

Grade B :

      • Complete Part 1 : Learn R & literate programming 
      • Complete Part 2 : Explain or use a specialized R library 

Grade C :

      • Complete Part 1 : Learn R & literate programming 

 

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.