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.

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. Prerequisite: BME 2101 & BME 2220, or instructor permission.

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 genomics and bioinformatics theory and tools to analyze large scale biological data. Specific topics covered are Introduction to Linux and R statistical programming language, computations on the high-performance computational cluster, analysis of sequencing data with applications in gene expression and protein/DNA interactions, differential expression analysis, pathway and co-expression network analysis. Prereq: (APMA 3110 or APMA 3100 or MATH 3100) and (CS 1110 or CS 1111 or CS 1112 with grade of C- or better or successfully completed CS 1110 place-out test) and BME major or minor

This course will provide students with a quantitative framework for identifying and addressing important biological questions at the molecular, cell, and tissue levels. The course will focus on the interplay between methods and logic, with an emphasis on the themes that emerge repeatedly in quantitative experiments.

"We will explore engineering methods to use ""microbes as tools"" for human wellbeing, to understand and combat ""microbes as enemies"" in infectious disease, and to characterize and manipulate ""microbes as partners"" in human health and wellbeing. We will learn how facets of BME are used to test hypotheses of human/microbe relationships and to design strategies to understand and treat disease and improve human wellbeing. Prerequisites: BME 2000 AND (BME 2101 OR BME 2102) AND BME 2104 AND BME 2315"

Introduces the fundamental principles of tissue engineering. Topics: tissue organization and dynamics, cell and tissue characterization, cell-matrix interactions, transport processes in engineered tissues, biomaterials and biological interfaces, stem cells and interacting cell fate processes and tissue engineering methods. Examples of approaches for regeneration of cartilage, bone, ligament, tendons, skin and liver are presented. Prerequisites: APMA 2130 or MATH 3250 or APMA 2501 - Differential Equations & Linear Algebra, and BME 2101, and BME 2104, or instructor permission.

Applies engineering science, design methods, and system analysis to developing areas and current problems in biomedical engineering. Topics vary by semester. Recent topics include Medical Imaging Systems Theory, BME Advanced Design, BME Electronics Lab, and Systems Biology Modeling and Experimentation. Prerequisite: third- or fourth-year standing or instructor permission.

Students will design treatment strategies for cancer and cardiovascular disease based on molecular bioengineering principles. Special topics will include design of nanoparticle drug and gene delivery platforms, materials biocompatibility, cancer immunotherapy, and molecular imaging. Prerequisite: BME 2102 and BME 2315 or instructor permission. Recommended prerequisite: BME 2104 or BME 4414.

A year-long research project in biomedical engineering conducted in consultation with a department faculty advisor; usually related to ongoing faculty research. Includes the design, execution, and analysis of experimental laboratory work and computational or theoretical computer analysis of a problem. Requires a comprehensive report of the results. Prerequisite: third- or fourth-year standing, and instructor permission.