The course will cover human genetics and genomics, including the human/mammalian genome variation, determination of genomic variation on phenotype and disease risk, mapping and characterizing genetic variants on phenotype, determining the putative impact of genetic variants on gene expression (transcriptomics, epigenomics), the promise and implications of genome science on precision medicine and the ethical, legal & social implications.Pre-requisite: BIOL 3010 or BIOL 4210 or instructor consent.

Second half of a year-long design project required for BME majors. Students select, formulate, & solve a design problem related to a device or a system. Projects use conceptual design, skills obtained in the integrated lab & substantial literature and patent reviews. Projects are sponsored by faculty, physicians and/or companies. Students may work on their own with outside team members when appropriate or with other students in integrative teams. Prerequisite: 4th year standing in the Biomedical Engineering major or instructor permission.

Project-driven course focusing on biomedical product design with emphasis on marketability, innovation, entrepreneurship and business. Topics include design fundamentals, problem/needs identification, delineation of realistic constraints and product specifications, intellectual property, market analysis, entrepreneurship, specific advanced design, business plan development, venture funding, and medical product testing methods. Pre-requisite: BME 2000 or instructor permission.

Focuses on the study of forces (and their effects) that act on the musculoskeletal structures of the human body. Based on the foundations of functional anatomy and engineering mechanics (rigid body and deformable approaches); students are exposed to clinical problems in orthopedics and rehabilitation. Cross-listed as AM 6280. Prerequisite: BME 6103.

A year-long design project required for BME majors. Students select, formulate, and solve a design problem related to a device or a system. Projects use conceptual design, skills obtained in the integrated lab and substantial literature and patent reviews. Projects are sponsored by faculty, physicians and/or companies. Students may work on their own with outside team members when appropriate or with other students in integrative teams. Prerequisite: 4th year standing in the Biomedical Engineering major or instructor permission.

Intro to systems-level measurement techniques for capturing molecular information and the mathematical and computational methods for harnessing the information from these measurements to improve our understanding of cell physiology and disease. Practical implementation of the concepts in MATLAB or Python will be applied to existing, real data from published journal articles. Pre-requisites: APMA 3100 or APMA 3110, BME 2104, BME 2315, and CS 1110 or CS 1111 or CS 1112

FOR GRAD STUDENTS ONLY. A research project in biomedical engineering conducted in consultation with a faculty advisor. Includes the design, execution, and analysis of experimental laboratory work and computational or theoretical computer analysis of a problem. Fulfills the project requirement for the Biomedical Engineering Masters of Engineering degree. Prereqs: Instructor Permission Required.

We will learn to bridge the gap between the fields of bioengineering and the science of how drugs interact with biological systems, i.e., Pharmacology, including the principles of biochemical reaction kinetics and engineering; how such principles can help us describe, model, predict and modulate the outcome of biochemical reactions in cells and biological reactors, and apply these principles to the understanding of pharmacological phenomena. Prerequisites: BME 2104 AND APMA 2130

This course introduces techniques for constructing mathematical and computational models of biological processes. We utilize experimental data to validate those models at many levels of organizational scale -- from genome to whole-tissue. Prerequisites: APMA 2130 or MATH 3250, BME 2101, BME 2104, and BME 2315.

Introduces techniques for constructing mathematical and computational models of biological processes at many levels of organizational scale from genome to whole-tissue. Topics include choice of techniques, quantitative characterization of biological properties, assumptions and model simplification, parameter estimation and sensitivity analysis, model verification and validation and integration of computational modeling w/experimental approaches.Prerequisites: BME 6101, and BME 2104 or BME 7806 (or equivalent).