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BME 348P BME 348P. Introduction to Computational and Systems Biology. 3 Hours.

Restricted to biomedical engineering majors. 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. Three lecture hours a week for one semester. 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). Prerequisite: 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).

Bachelor of Science in Biomedical Engineering



The mission of the Department of Biomedical Engineering is to develop clinically translatable solutions for human health by training the next generation of biomedical engineers, cultivating leaders, and nurturing the integration of science, engineering, and medicine in a discovery-centered environment. The main educational objective is to provide a thorough training in the fundamentals of engineering science, design, and biology. The curriculum is designed to provide concepts central to understanding living systems from the molecular and cellular levels to the tissue and organismal levels. The curriculum incorporates principles of vertical integration, leading to the choice of a technical area (biomedical imaging and instrumentation, cellular and biomolecular engineering, computational biomedical engineering, or molecular, cellular, and tissue biomechanics), and culminates in a team capstone design experience. Students are expected to develop an understanding of industrial, research, and clinical biomedical engineering environments; an understanding of regulatory issues and biomedical ethics; the ability to create, identify, formulate, and solve biomedical engineering problems; the ability to design systems to meet needs in medical/life science applications; an understanding of life processes at the molecular, cellular, tissue, and organismal levels; the ability to use instrumentation and to make measurements and interpret data in living systems; and an appreciation of the interdisciplinary nature of biomedical engineering research.