COMPUTATIONAL GENOMICS FOR MICROBIAL FORENSICS

Credit Hours: 3 · Graduate

This course covers computational approaches, including algorithms (divide and conquer, greedy, randomized) and data structures (suffix arrays, suffix trees, de bruijn graphs) that have served as the foundation for computational analyses and real-time tracking of infectious diseases. The course is organized into four themed modules, and each module features several seminal computational advances leading to real-world applications spanning the past three decades. The students prepare written summaries of each computational advance, as well as prepare in-class presentations, to both reinforce learning and embed communication into the class. The course also features quizzes (on Canvas) and a midterm and final exam to assess learning of the key computational concepts covered in this course.