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  • 3.00 Credits

    Computers are increasingly indispensable in biomedical engineering research for data acquisition, analysis and modeling. For students that will not have received any programming training, the course covers basic computation skills including data representation, storage, display, descriptive statistics, numerical analysis theory, optimization, and other relevant topics via hands-on exercises based on real biomedical engineering applications. A high-level multi-purpose scientific computing package (e.g., Matlab) will be used. Prerequisites: "C" or better in MATH 2250 AND Full Major status in Biomedical Engineering.
  • 3.00 Credits

    Biomedical engineering design covered from an FDA design perspective. Topics include team building, literature searches, and project management. Discussions on economic, environmental, sustainability, manufacturability, ethical, health and safety, social, and political considerations will be included. Students will be assigned to a group to work on a design project that will continue into BIOEN 4801. Prerequisites: 'C' or better in BME 3301 AND BME 3202 AND Full Major status in Biomedical Engineering. Corequisites: 'C' or better in BME 3070 OR CS 3130 OR ECE 3530
  • 3.00 Credits

    One-time courses in highly specialized areas in biomedical engineering not already covered by department or university curricula. Prerequisites: Full Major Status in Biomedical Engineering.
  • 3.00 Credits

    This intermediate-level 3 credit-hour course is focused on the application of physical principles to 1) develop quantitative understanding of biophysical processes in natural and engineered molecules, membranes, tissues and organs and to 2) apply biophysical principles to the solution of biomedical engineering problems related to health and the human condition. Prerequisites: 'C' or better in (PHYS 2220 OR PHYS 3220) AND Full Major status in Biomedical Engineering.
  • 4.00 Credits

    The goals of this course are to apply and solidify the techniques developed in the Biosignals Analysis course through a series of examples and explore the electronic implementation of associated devices. Again, the strategy will be heavily linked to specific examples and hands-on experience, this time through lab exercises. Example systems for this course include pulse oxymetry, real time glucose monitoring, ultrasound based flow measurements, and fluorescence imaging. In each example, the goal will be to build at least prototype devices using modular electronic elements. A further goal of the course will be to develop basic modeling approaches and apply them to a system from the BME 3202 Physiology for Engineers class, which students would normally be taking together with this course. Prerequisites: 'C' or better in (BME 3101 AND BME 3301) AND Full Major status in Biomedical Engineering.
  • 4.00 Credits

    Fundamental principles of mechanics applied to the study of biological systems. Passive mechanical behaviors of biological materials, measurement of nonlinear strain in tissues, arterial flow, mechanical interactions of implants with tissue, skeletal muscle mechanics, segmental biomechanics, and control of motion. Includes laboratory experience in material covered in lecture. Prerequisites: 'C' or better in BME 3301 AND Full Major status in Biomedical Engineering.
  • 3.00 Credits

    This course is designed to introduce students to the various classes of biomaterials in use and their application in selected subspecialties of medicine including an understanding of material bulk and surface properties, standard characterization tools, the various biological responses to implanted materials, the clinical context of their use, manufacturing processes, and issues dealing with cost, sterilization, packaging, and design of biomedical devices. It also addresses professional and ethical responsibility encountered in designing medical implants. Prerequisites: 'C' or better in (BIOL 2020 OR BIOL 2021) AND Full Major status in Biomedical Engineering.
  • 3.00 Credits

    This course is an introduction to digital image processing. Simply put, image processing is the study of any algorithm that takes an image as input and produces an image as output. Digital images are ubiquitous in today's world, and the number of images available on the internet is exploding. Images are an important form of data in many fields. Examples include microscopy in biology, MRI and CT in medicine, satellite imagery in geology and agriculture, fingerprint and face images in security and many others. Digital image processing is vital in fully harnessing the information in all of this data. Practically every digital image your see today has undergone some form of image processing. Even point-and-shoot digital cameras have a dedicated image processing microchip that performs simple image processing tasks immediately after a photograph is taken. In this course you will learn the basic algorithms of image processing, including image enhancement, filtering, feature detection, geometric transforms, color processing, and compression. The goals of this course are to give you the understanding of how image processing algorithms work and what algorithms to apply to a given problem, and also the foundation necessary to develop your own image processing algorithms. Prerequisites: 'C' or better in BME 3301.
  • 2.00 Credits

    The course will emphasize self-guided and peer-assisted, hands-on practical time with the software and data examples. Formal lectures (1 per week) will provide introduction to the core ideas and the software. Finally, a series of guest lectures from scientists from the University will provide informative examples of the use of imaging based modeling and analysis in biomedical research. Grading criteria will be more stringent for graduate students. Corequisites: BME 3301.
  • 3.00 Credits

    Continuation of BME 3801. Initial designs will be prototyped before going through a design review. Design validation issues and improvements will then be solved in a redesign phase following a design process based on FDA-QSR. Projects will be team oriented and lead to increased project management skills. In addition, discussions on design considerations will continue. A final written design document and an oral presentation of the working prototype will culminate the class. Lecture: 1 hour and Lab: 6 hours. Prerequisites: 'C' or better in BME 3801.