Introduction to Computational and Systems Biology

Course Description

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.

Code

BME 348P

Credits

3

Subject

Biomedical Engineering

Programs That Include This Course

• Bachelor's Biomedical Engineering, Cellular and Biomolecular Engineering (BSBiomedE)
• Bachelor's Biomedical Engineering, Computational Biomedical Engineering (BSBiomedE)