PROBABILITY IN BIOINFORMATICS AND GENETICS
Course introduces the student to modern biotechnology and genomic data. Statistical methods to analyze genomic data are covered, including probability models, basic stochastic processes, and statistical modeling. Biological topics include DNA sequence analysis, phylogenetic inference, gene finding, and molecular evolution. A weekly 1-hour lab on computational aspects of the course will cover software and practice of bioinformatics and computational biology, including modern data sets. Graduate/Undergraduate Equivalency: STAT 623 . Mutually Exclusive: Cannot register for STAT 423 if student has credit for STAT 623 .
Prerequisites & course information
Short Title: PROB BIOINFORMATICS & GENETICS Department: Statistics Grade Mode: Standard Letter Course Type: Lecture/Laboratory Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): STAT 310 or ECON 307 or STAT 311 or STAT 315 or DSCI 301 or STAT 312 or STAT 418
Sources
- Course catalogue ↗2026–2027