BME X48P BME 348P Introduction to Computational and Systems Biology 3 Hours
3 Lecture Hours 0 Lab Hours
Introduction to big data technology platforms, data science analytical algorithms and artificial intelligence in computational biology and medicine and network science. Examine DNA sequence alignment and search, high-throughput big data platforms and analysis, network science, multi-omics profiling, statistics, motif finding, molecular structure prediction, genome-wide association studies, artificial intelligence, and personalized precision medicine. Explore computational algorithms including hidden Markov model, clustering, classification methods, and others. Only one of the following may be counted: Biomedical Engineering 348P, 377T (Topic: Intro to Comp/Systems Bio), Chemistry 368 (Topic: Intro to Comp/Systems Bio), Computer Science 378 (Topic: Intro to Comp/Systems Bio). Three lecture hours a week for one semester.
Pre/Corequisites: The following coursework with a grade of at least C- in each: Biochemistry 369, Biology 311C or 315H, Biomedical Engineering 335 or Mechanical Engineering 335, and Biomedical Engineering 343 or Electrical and Computer Engineering 313 (or Electrical Engineering 313).
Restrictions: Restricted to biomedical engineering majors.
Grading: Student Option
Repeatable for credit: No
Academic Level: Upper Division