Graduate Programs

Spring Term Schedule

Spring 2023

Number	Title	Instructor	Time
BME 404-1 Computational Methods Jong-Hoon Nam MW 4:50PM - 6:05PM
The course deals with computational methods to analytically intractable mathematical problems in biological research. For the first half of the course, general numerical analysis topics are reviewed such as linear algebra, ODE and PDE. Through homework assignments, students write their own computer code. Sufficient sample solutions are given to practice various numerical methods within limited time. The rest of the course is comprised of case studies and projects. Examples of computational analyses are drawn from life science problems such as biodynamics of human loco motion, ion channel kinetics, ionic diffusion, and finite element analysis of cells/tissues. For final project, students bring their own research problems, express them in mathematical equations, solve them using custom written computer programs and interpret the solutions. Prerequisites: Fundamental linear algebra, ordinary differential equations, some experience with MatLAB. Location Wegmans Room 1005 (MW 4:50PM - 6:05PM)
BME 412-1 Visco in Bio Tissues Mark Buckley TR 9:40AM - 10:55AM
Viscoelastic materials have the capacity to both store and dissipate energy. As a result, properly describing their mechanical behavior lies outside the scope of both solid mechanics and fluid mechanics. This course will develop constitutive relations and strategies for solving boundary value problems in linear viscoelastic materials. In addition, the closely-related biphasic theory for fluid-filled porous solids will be introduced. An emphasis will be placed on applications to cartilage, tendon, ligament, muscle, blood vessels, and other biological tissues. Advanced topics including non-linear viscoelasticity, composite viscoelasticity and physical mechanisms of viscoelasticity will be surveyed. Preerequisites: ME225 or CHE243; ME226 or BME201 Location Hylan Building Room 101 (TR 9:40AM - 10:55AM)
BME 413-1 Selected Topics in Augmented and Virtual Reality Mujdat Cetin; Chenliang Xu; Ross Maddox MW 10:25AM - 11:40AM
This is the second course offered as part of the PhD training program on augmented and virtual reality. It builds on the first course, Introduction to Augmented and Virtual Reality (AR/VR). The goal of the course is to provide exposure to problems in the AR/VR domain addressed by various disciplines. The course consists of three one-month long modules in a semester. Modules engage students in particular aspects of AR/VR or hands-on experience on AR/VR. Modules to be offered in various years include: fundamentals of optics for AR/VR; AR/VR in the silicon; foundations of visual perception in the context of AR/VR; computer audition and acoustic rendering; measuring the human brain; deep learning and visual recognition for AR/VR; brain-computer interfacing in a virtual environment; 3D interfaces and interaction; AR/VR for collaborative education & professional training. In Spring 2023, the following three modules will be offered: 1) Deep learning and visual recognition for AR/VR. (Prof. Chenliang Xu) Recent developments in deep learning have significantly advanced state-of-the-art visual recognition in problems such as object detection, activity recognition, and semantic segmentation. In this module, students will learn core concepts in deep learning, including convolutional neural networks and recurrent neural networks. They will receive hands-on experience using popular deep-learning libraries like PyTorch to build visual recognition algorithms for AR/VR systems. 2) Measuring the human brain. (Prof. Ross Maddox) This module will introduce students to studies of human brain function using non-invasive methods. It will focus on experimental paradigms and data analysis in the time and frequency domains. Neural encoding and decoding models and applications to brain-computer interfaces will also be discussed. The module will have a mixed format, with lectures and labs. Lab exercises will be based on analyzing real data from human subjects. 3) Professional encounters with leading AR/VR researchers. This module will involve a series of seminars and discussion sessions with leading AR/VR researchers from academia and industry. Prerequisites: ECE 410 or OPT 410 or BME 410 or NSCI 415 or CSC 413 or CVSC 534 INSTRUCTORS: Chenliang Xu; Ross Maddox; Mujdat Cetin Location Todd Union Room 202 (MW 10:25AM - 11:40AM)
BME 415-1 Neuroscience of Neuroprosthetics Sarah McConnell MWF 2:00PM - 2:50PM
This class examines the structure, function, and vulnerability of the visual, auditory, vestibular, somatosensory, and motor systems, and explores how neuroprosthetics may ameliorate damage to these systems. Learning objectives will be addressed through lectures, journal article discussions, online discussions, case studies, and student presentations. Prior study in neuroscience is helpful but not required. Prerequisites: Any introductory Biology course. Undergraduates allowed with permission of instructor. Location Lechase Room 163 (MWF 2:00PM - 2:50PM)
BME 416-1 Speech on the Brain Laurel Carney; Joyce McDonough MW 9:00AM - 10:15AM
The focus of this course is on neural representations of speech sounds; introduction to basics of speech phonetics and responses from the auditory nerve through the brainstem, midbrain, and cortex; techniques for analyzing speech and neural responses. Students from BME, LING, BCSC, NSCI and other programs will work in interdisciplinary teams on a final project. Location Bausch & Lomb Room 270 (MW 9:00AM - 10:15AM)
BME 432-1 FDA & IP Commercialization Joan Adamo M 3:25PM - 4:40PM
This interactive course focuses on Intellectual Property (IP) and FDA regulatory pathways for medical innovations. Emphasis will be placed on how knowledge of IP protection and evaluation, and regulatory barriers can optimize design, testing and commercialization strategies. Building on BME431 material, students will learn about the processes and barriers to bringing medical products through clinical trials. Instruction will include lectures, case studies, guest speakers and integrated assignments that will ask students to explore examples of IP and regulatory challenges, successes and failures. Lectures on regulatory and IP topics will alternate so students can appreciate the difficulty presented by balancing these two challenges in the innovation process. Some assignments may be tailored to individual student's research, design or work concentration areas. A project conducted in partnership with the FDA will provide students an opportunity to submit a mock pre-submission to the FDA for review and feedback. Location Helen Wood Hall Room 1W501 (M 3:25PM - 4:40PM)
BME 438-3 Intro to Quality Engineering Amy Lerner MW 11:50AM - 1:05PM
Concepts, tools and techniques for quality engineering in product design and statistical process control, including design of experiments, RCA, FMEA and measurement systems. Class meets January 11 - March 15, 2023. Prerequisite: Basic understanding of statistical methods. Location Dewey Room 2110E (MW 11:50AM - 1:05PM)
BME 438-4 Intro to Quality Engineering - REC Amy Lerner R 3:25PM - 4:40PM
Concepts, tools and techniques for quality engineering in product design and statistical process control, including design of experiments, RCA, FMEA and measurement systems. Class meets January 11 - March 15, 2023. Prerequisite: Basic understanding of statistical methods. Location Harkness Room 114 (R 3:25PM - 4:40PM)
BME 438-5 Intro to Quality Engineering - REC Amy Lerner F 9:00AM - 10:15AM
Concepts, tools and techniques for quality engineering in product design and statistical process control, including design of experiments, RCA, FMEA and measurement systems. Class meets January 11 - March 15, 2023. Prerequisite: Basic understanding of statistical methods. Location Harkness Room 114 (F 9:00AM - 10:15AM)
BME 459-1 Applied Human Anatomy Martha Gdowski MW 2:00PM - 3:15PM
This course analyzes the structural composition of the human body from cellular to organ levels. The goal is to provide a foundation in human anatomy appropriate for students interested in the bioscience and health care professions (e.g. nursing, physical therapy, medicine, bioengineering). Learning objectives will be achieved through a combination of lecture and hands-on (laboratory) approaches, reinforced by clinical examples and analysis of how biomedical devices interface with anatomical structures. In addition, students will participate in small group discussions of clinical case studies, make group presentations of topic appropriate biomedical devices, and prepare a term paper on the subject of their choice selected from a list of topics generated by the instructor. Prerequisite: Any introductory biology course. Location S & Gg Wing/smd Room 37619 (MW 2:00PM - 3:15PM)
BME 459-2 Applied Human Anatomy LAB Martha Gdowski R 4:50PM - 6:05PM
This course analyzes the structural composition of the human body from cellular to organ levels. The goal is to provide a foundation in human anatomy appropriate for students interested in the bioscience and health care professions (e.g. nursing, physical therapy, medicine, bioengineering). Learning objectives will be achieved through a combination of lecture and hands-on (laboratory) approaches, reinforced by clinical examples and analysis of how biomedical devices interface with anatomical structures. In addition, students will participate in small group discussions of clinical case studies, make group presentations of topic appropriate biomedical devices, and prepare a term paper on the subject of their choice selected from a list of topics generated by the instructor. Prerequisite: Any introductory biology course. Location S & Gg Wing/smd Room 58526 (R 4:50PM - 6:05PM)
BME 459-3 Applied Human Anatomy REC Martha Gdowski T 12:30PM - 2:00PM
This course analyzes the structural composition of the human body from cellular to organ levels. The goal is to provide a foundation in human anatomy appropriate for students interested in the bioscience and health care professions (e.g. nursing, physical therapy, medicine, bioengineering). Learning objectives will be achieved through a combination of lecture and hands-on (laboratory) approaches, reinforced by clinical examples and analysis of how biomedical devices interface with anatomical structures. In addition, students will participate in small group discussions of clinical case studies, make group presentations of topic appropriate biomedical devices, and prepare a term paper on the subject of their choice selected from a list of topics generated by the instructor. Prerequisite: any introductory biology course. Location S & Gg Wing/smd Room 46912 (T 12:30PM - 2:00PM)
BME 462-1 Cell & Tissue Engineering Hani Awad TR 11:05AM - 12:20PM
This course teaches the principles of modern cell and tissue engineering with a focus on understanding and manipulating the interactions between cells and their environment. After a brief overview of Cell and Tissue Engineering, the course covers 5 areas of the field. These are: 1) Physiology for Tissue Engineering; 2) Bioreactors and biomolecule production; 3) Materials for Tissue Engineering; 4) Cell Cultures and bioreactors and 5) Drug Delivery and Drug Discovery. Within each of these topics the emphasis is on analytical skills and instructors will assume knowledge of chemistry, mass transfer, fluid mechanics, thermodynamics and physiology consistent with the Cell and Tissue Engineering Track in BME. In a term project, graduate students must identify a technological need and present orally and in writing a proposal to meet the need. Must register for LAB and REC when registering for course. Prerequisites: BME 260, CHE225 (or ME123), CHE243 (or ME225), CHE244 and one of the following Cell Biology courses: BME211, BME411, BIO202 or BIO210; or permission of instructor. Location Bausch & Lomb Room 269 (TR 11:05AM - 12:20PM)
BME 462-3 Cell & Tissue Engineering REC Hani Awad M 4:00PM - 6:00PM
This course teaches the principles of modern cell and tissue engineering with a focus on understanding and manipulating the interactions between cells and their environment. After a brief overview of Cell and Tissue Engineering, the course covers 5 areas of the field. These are: 1) Physiology for Tissue Engineering; 2) Bioreactors and biomolecule production; 3) Materials for Tissue Engineering; 4) Cell Cultures and bioreactors and 5) Drug Delivery and Drug Discovery. Within each of these topics the emphasis is on analytical skills and instructors will assume knowledge of chemistry, mass transfer, fluid mechanics, thermodynamics and physiology consistent with the Cell and Tissue Engineering Track in BME. In a term project, graduate students must identify a technological need and present orally and in writing a proposal to meet the need. Prerequisites: :BME 260, CHE225 (or ME123), CHE243 (or ME225), CHE244 and one of the following Cell Biology courses: BME211, BME411, BIO202 or BIO210; or permission of instructor. Location Gavett Hall Room 310 (M 4:00PM - 6:00PM)
BME 472-1 Advanced Biomedical Microscopy Michael Giacomelli TR 11:05AM - 12:20PM
This course will review the engineering of optical system for biomedical microscopy by exploring widely used biomedical imaging systems such as confocal microscopy, multiphoton microscopy and optical coherent tomography among others. These techniques will be introduced in the context of the imaging problems they solve with a goal of giving students a broad, undergraduate level understanding of the constraints and solutions to biomedical microscopy. The graduate version of this course will include additional assignments and be appropriate for graduate students starting out inbiomedical optics. Prerequisites: OPT261 and BME270. Location Goergen Hall Room 110 (TR 11:05AM - 12:20PM)
BME 494-1 Masters Internship Amy Lerner –
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BME 494-2 Masters Internship – –
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BME 494-3 Masters Internship Mark Buckley –
BME 494-2 Fall Internship - jmp: 7/18/22
BME 495-01 Master's Research in BME Greg Gdowski –
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BME 495-02 Master's Research in BME Amy Lerner –
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BME 495-03 Master's Research in BME Hani Awad –
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BME 495-04 Master's Research in BME Scott Seidman –
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BME 495-05 Master's Research in BME Stephen McAleavey –
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BME 495-06 Master's Research in BME Lisa DeLouise –
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BME 495-07 Master's Research in BME James McGrath –
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BME 495-08 Master's Research in BME Mark Buckley –
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BME 495-09 Master's Research in BME Anne Luebke –
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BME 495-10 Master's Research in BME Geunyoung Yoon –
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BME 495-11 Master's Research in BME Benjamin Miller –
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BME 495-12 Master's Research in BME Ross Maddox –
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BME 495-13 Master's Research in BME Manuel Gomez-Ramirez –
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BME 495-14 Master's Research in BME Maiken Nedergaard –
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BME 495-15 Master's Research in BME Edmund Lalor –
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BME 495-16 Master's Research in BME Laurel Carney –
Masters Research in BME - Professor Laurel Carney
BME 495-17 Master's Research in BME Chia-Lung Wu –
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BME 495-18 Master's Research in BME Danielle Benoit –
BME 495-18, Professor Danielle Benoit - jmp 8/18/21
BME 495-2 Master's Research in BME Anne Luebke –
BME 495-2 added with Anne Luebke as instructor - jmp- 2/19/23
BME 495-20 Master's Research in BME – –
BME 495-20 with Dr. Whasil Lee as the advisor
BME 495-21 Master's Research in BME Whasil Lee –
BME 495-20 with Dr. Whasil Lee as instructor - jmp: 9/1/22
BME 495-22 Master's Research in BME Greg Gdowski –
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BME 495-23 Master's Research in BME Greg Gdowski TR 2:00PM - 3:15PM
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BME 495-40 Master's Research in BME Xinping Zhang –
BME 495-40 added with Xinping Zhang as instructor - jmp - 9/20/22
BME 495-5 Master's Research in BME Shu-Chi Yeh –
BME 495 -5 added as Dr. Shu-Chi Yeh as instructor - jmp: 12/1/22
BME 495-8-2 Master's Research in BME Mark Buckley –
BME-495-8-2 under Mark Buckley has been created as a two credit course - jmp
BME 496-1 Current Research Seminars Stephen McAleavey TR 8:15AM - 9:30AM
No description Location Goergen Hall Room 101 (TR 8:15AM - 9:30AM)
BME 589-1 Writing Proposals in BME Anne Luebke; Benjamin Miller T 4:30PM - 5:30PM
This course covers the essential aspects of organization and content for writing formal scientific proposals. Open to second-year Ph.D. candidates. Location Goergen Hall Room 239 (T 4:30PM - 5:30PM)
BME 593-1 Laboratory Rotations in BME Stephen McAleavey –
Attend seminars first half of the semester and then students rotate in at least 3 different labs during the first year of graduate study to learn of the diversity of research opportunities for Ph.D. research.
BME 595-01 PhD Research Hani Awad –
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BME 595-02 PhD Research Marvin Doyley –
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BME 595-03 PhD Research Andrew Berger –
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BME 595-04 PhD Research Benjamin Miller –
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BME 595-05 PhD Research Benjamin Miller –
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BME 595-06 PhD Research – –
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BME 595-07 PhD Research Shu-Chi Yeh –
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BME 595-08 PhD Research – –
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BME 595-11 PhD Research – –
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BME 595-15 PhD Research Ross Maddox –
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BME 595-16 PhD Research – –
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BME 595-18 PhD Research – –
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BME 595-19 PhD Research – –
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BME 595-2 PhD Research Edward Brown –
BME 595-2 added for spring 2023 with Ed Brown as instructor - jmp - 1/4/
BME 595-20 PhD Research – –
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BME 595-21 PhD Research – –
BME 595-21 is created with Dr. Mehrmohammadi as the instructor. - jmp - 9/1/2
BME 595-22 PhD Research – –
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BME 595-26 PhD Research Marc Schieber –
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BME 595-27 PhD Research – –
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BME 595-28 PhD Research – –
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BME 595-29 PhD Research – –
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BME 595-3 PhD Research James McGrath –
BME 595-3 adjusted with Jim McGrath as instructor for spring, 2023 - jmp - 1/4/23
BME 595-30 PhD Research – –
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BME 595-36 PhD Research Jianhui Zhong –
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BME 595-37 PhD Research – –
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BME 595-4 PhD Research Mark Buckley –
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BME 595-40 PhD Research – –
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BME 595-42 PhD Research Juliette McGregor –
BME 595-42 added with Juliette McGregor as instructor
BME 595-45 PhD Research Chia-Lung Wu –
BME 595-45 Added with Dr. Chia-Lung Wu as instructor - jmp - 12/13/22
BME 595-46 PhD Research Chia-Lung Wu –
BME 595-45 added with Dr. Chia-Lung Wu as Instructor - jmp - 12/13/22
BME 595-47 PhD Research Regine Choe –
BME 595-47 added for Spring Semester 2023 with Dr. Regine Choe as instructor - jmp - 1/3/23
BME 595-48 PhD Research Alayna Loiselle –
BME 595-48 added with Dr. Loiselle as instructor - jmp - 1
BME 595-49 PhD Research Roman Eliseev –
BME 595-49 added with Dr. Roman Eliseev as the instructor - jmp - 1/3/23
BME 595-5 PhD Research – –
Added BME 595-5 with Professor Dean as instructor - jmp - 9/9/21
BME 595-50 PhD Research – –
BME 595-50 created with Ben Frisch as instructor - jmp -
BME 595-51 PhD Research Angela Glading –
BME 595-51 added with Angela Glading as instructor for spring of 2023 - jmp - 1/10/23
BME 595-52 PhD Research Jesse Schallek –
BME 595-52 added with Jesse Schallek as instructor - jmp - 1/10/23
BME 595-54 PhD Research Benjamin Frisch –
BME 595-54 added with Ben Frisch as instructor - jmp - 1/11/23
BME 595-55 PhD Research Edmund Lalor –
BME 595-55 added with Ed Lalor as instructor for spring of 2023 - jmp
BME 595-56 PhD Research Ross Maddox –
BME 595-56 with Dr. Duric added as instructor - jmp - 1/19/23
BME 595-57 PhD Research Ross Maddox –
BME 595-57 added with Dr. Ross Maddox as instructor - jmp 1/24/23
BME 595-58 PhD Research Michael Giacomelli –
BME 595-58 added with Mike Giacomelli as instructor
BME 595-59 PhD Research – –
BME 595-58 added with Mike Giacomelli as
BME 595-6 PhD Research – –
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BME 595-7 PhD Research Shu-Chi Yeh –
BME 595 -7 with Dr. Yeh as Instructor has been added - jmp - 12/1/22
BME 595A-01 PhD Research in Absentia – –
BME Ph.D. Research in Absentina; Professor Mark Buckley
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BME 895-1 Cont of Master's Enrollment – –
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BME 895-3 Cont of Master's Enrollment – –
BME 895-3 Continuation of Masters Research with Shu-Chi Yeh as instructor
BME 895-4 Cont of Master's Enrollment Chia-Lung Wu –
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BME 897-01 Master's Dissertation Greg Gdowski –
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BME 897-02 Master's Dissertation Amy Lerner –
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BME 897-03 Master's Dissertation Ross Maddox –
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BME 897-04 Master's Dissertation Ross Maddox –
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BME 897-05 Master's Dissertation Hani Awad –
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BME 897-06 Master's Dissertation Scott Seidman –
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BME 897-07 Master's Dissertation Lisa DeLouise –
BME 897-07 Masters Dissertation, Professor DeLouise.
BME 897-08 Master's Dissertation Mark Buckley –
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BME 897-09 Master's Dissertation Benjamin Miller –
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BME 897-14 Master's Dissertation Laurel Carney –
BME 897-14 Masters Dissertation - Professor Laurel Carney
BME 897-18 Master's Dissertation Danielle Benoit –
BME 897 Masters Dissertation, Professor Benoit
BME 897-19 Master's Dissertation Anne Luebke –
BME 897-19 added with Anne Luebke as instructor - jmp - 2/21/23
BME 897-2 Master's Dissertation Anne Luebke –
BME 897-2 Added with Anne Luebke as instructor - 2/19/23 - jm
BME 897-20 Master's Dissertation Xinping Zhang –
BME 897-20 added for Xinping Zhang as instructor - jmp - 4/20/22
BME 897-3 Master's Dissertation Anne Luebke –
BME 897 -3 added with Anne Luebke as instructor - JMP - 3/243/23
BME 897-30 Master's Dissertation Chia-Lung Wu –
BME 897 added with Chia-Lung Wu as instructor - jmp - 2/8/23
BME 897-9 Master's Dissertation Anne Luebke –
BME 897-9 added with Anne Luebke as instructor - jmp - 2/20/23
BME 897A-1 Masters In-Absentia Mark Buckley –
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BME 897A-2 Masters In-Absentia – –
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BME 899-01 Master's Dissertation Hani Awad –
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BME 899-02 Master's Dissertation Greg Gdowski –
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BME 899-03 Master's Dissertation Amy Lerner –
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BME 899-04 Master's Dissertation Scott Seidman –
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BME 899-05 Master's Dissertation Ross Maddox –
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BME 899-06 Master's Dissertation James McGrath –
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BME 899-07 Master's Dissertation Lisa DeLouise –
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BME 899-08 Master's Dissertation Stephen McAleavey –
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BME 899-09 Master's Dissertation Mark Buckley –
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BME 899-10 Master's Dissertation Benjamin Miller –
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BME 899-16 Master's Dissertation – –
BME899: Masters Dissertation - Professor Laurel Carney
BME 899-20 Master's Dissertation Chia-Lung Wu –
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BME 899-30 Master's Dissertation Chia-Lung Wu –
BME 899 - Masters Dissertation with Chia-Lung Wu as instructor - jmp - 2/8/23
BME 899-50 Master's Dissertation Xinping Zhang –
BME 899 Masters Dissertation added for the fall of 2022 - jmp
BME 899B-1 Master's Dissertation in absentia Mark Buckley –
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BME 995-1 Cont of Doctoral Enrollment – –
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BME 997-01 Doctoral Dissertation Hani Awad –
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BME 997-02 Doctoral Dissertation Danielle Benoit –
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BME 997-03 Doctoral Dissertation Andrew Berger –
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BME 997-04 Doctoral Dissertation Edward Brown –
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BME 997-05 Doctoral Dissertation Mark Buckley –
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BME 997-06 Doctoral Dissertation Laurel Carney –
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BME 997-07 Doctoral Dissertation Regine Choe –
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BME 997-08 Doctoral Dissertation Diane Dalecki –
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BME 997-09 Doctoral Dissertation Michael Giacomelli –
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BME 997-10 Doctoral Dissertation Anne Luebke –
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BME 997-11 Doctoral Dissertation Edmund Lalor –
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BME 997-12 Doctoral Dissertation Catherine Kuo –
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BME 997-13 Doctoral Dissertation Whasil Lee –
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BME 997-14 Doctoral Dissertation Ross Maddox –
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BME 997-15 Doctoral Dissertation Stephen McAleavey –
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BME 997-16 Doctoral Dissertation James McGrath –
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BME 997-17 Doctoral Dissertation Jong-Hoon Nam –
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BME 997-18 Doctoral Dissertation Lisa DeLouise –
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BME 997-19 Doctoral Dissertation Kenneth Henry –
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BME 997-20 Doctoral Dissertation Denise Hocking –
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BME 997-21 Doctoral Dissertation Edward Schwarz –
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BME 997-22 Doctoral Dissertation Jesse Schallek –
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BME 997-23 Doctoral Dissertation Geunyoung Yoon –
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BME 997-24 Doctoral Dissertation Minsoo Kim –
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BME 997-25 Doctoral Dissertation Benjamin Miller –
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BME 997-26 Doctoral Dissertation Eric Small –
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BME 997-30 Doctoral Dissertation Marc Schieber –
BME 997-30 added with Marc Schieber as instructor - jmp - 1/23/23
BME 997-35 Doctoral Dissertation Michael Giacomelli –
BME 997-30 added for spring 2023 with Michael Giacomelli - jmp - 2/21/23
BME 997-7 Doctoral Dissertation Michael Giacomelli –
BME 997-7 added with Dr. Giacomelli as instructor - jmp - 2/21/23
BME 999-01 Doctoral Dissertation Hani Awad –
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BME 999-02 Doctoral Dissertation Danielle Benoit –
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BME 999-03 Doctoral Dissertation Andrew Berger –
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BME 999-04 Doctoral Dissertation Edward Brown –
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BME 999-05 Doctoral Dissertation Mark Buckley –
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BME 999-06 Doctoral Dissertation Laurel Carney –
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BME 999-07 Doctoral Dissertation Regine Choe –
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BME 999-08 Doctoral Dissertation Diane Dalecki –
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BME 999-09 Doctoral Dissertation Michael Giacomelli –
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BME 999-10 Doctoral Dissertation Anne Luebke –
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BME 999-11 Doctoral Dissertation Edmund Lalor –
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BME 999-12 Doctoral Dissertation Catherine Kuo –
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BME 999-13 Doctoral Dissertation Whasil Lee –
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BME 999-14 Doctoral Dissertation Ross Maddox –
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BME 999-15 Doctoral Dissertation Stephen McAleavey –
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BME 999-16 Doctoral Dissertation James McGrath –
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BME 999-17 Doctoral Dissertation Jong-Hoon Nam –
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BME 999-18 Doctoral Dissertation Richard Waugh –
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BME 999-19 Doctoral Dissertation Benjamin Crane –
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BME 999-20 Doctoral Dissertation Lisa DeLouise –
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BME 999-21 Doctoral Dissertation Kenneth Henry –
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BME 999-22 Doctoral Dissertation Denise Hocking –
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BME 999-23 Doctoral Dissertation Jennifer Hunter –
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BME 999-24 Doctoral Dissertation Alayna Loiselle –
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BME 999-25 Doctoral Dissertation Marc Schieber –
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BME 999-26 Doctoral Dissertation Edward Schwarz –
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BME 999-27 Doctoral Dissertation David Williams –
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BME 999-28 Doctoral Dissertation Jesse Schallek –
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BME 999-29 Doctoral Dissertation Geunyoung Yoon –
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BME 999-30 Doctoral Dissertation Joe Chakkalakal –
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BME 999-31 Doctoral Dissertation Minsoo Kim –
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BME 999-32 Doctoral Dissertation Maiken Nedergaard –
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BME 999-33 Doctoral Dissertation Eric Small –
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BME 999-34 Doctoral Dissertation Edward Freedman –
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BME 999-35 Doctoral Dissertation Benjamin Miller –
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BME 999A-01 Doctoral Dissertation in Absentia Mark Buckley –
PhD Dissertation/Absentia - Instructor: Professor Mark Buckley

Number	Title	Instructor	Time
Monday
BME 432-1 FDA & IP Commercialization Joan Adamo
This interactive course focuses on Intellectual Property (IP) and FDA regulatory pathways for medical innovations. Emphasis will be placed on how knowledge of IP protection and evaluation, and regulatory barriers can optimize design, testing and commercialization strategies. Building on BME431 material, students will learn about the processes and barriers to bringing medical products through clinical trials. Instruction will include lectures, case studies, guest speakers and integrated assignments that will ask students to explore examples of IP and regulatory challenges, successes and failures. Lectures on regulatory and IP topics will alternate so students can appreciate the difficulty presented by balancing these two challenges in the innovation process. Some assignments may be tailored to individual student's research, design or work concentration areas. A project conducted in partnership with the FDA will provide students an opportunity to submit a mock pre-submission to the FDA for review and feedback.
BME 462-3 Cell & Tissue Engineering REC Hani Awad
This course teaches the principles of modern cell and tissue engineering with a focus on understanding and manipulating the interactions between cells and their environment. After a brief overview of Cell and Tissue Engineering, the course covers 5 areas of the field. These are: 1) Physiology for Tissue Engineering; 2) Bioreactors and biomolecule production; 3) Materials for Tissue Engineering; 4) Cell Cultures and bioreactors and 5) Drug Delivery and Drug Discovery. Within each of these topics the emphasis is on analytical skills and instructors will assume knowledge of chemistry, mass transfer, fluid mechanics, thermodynamics and physiology consistent with the Cell and Tissue Engineering Track in BME. In a term project, graduate students must identify a technological need and present orally and in writing a proposal to meet the need. Prerequisites: :BME 260, CHE225 (or ME123), CHE243 (or ME225), CHE244 and one of the following Cell Biology courses: BME211, BME411, BIO202 or BIO210; or permission of instructor.
Monday and Wednesday
BME 416-1 Speech on the Brain Laurel Carney; Joyce McDonough
The focus of this course is on neural representations of speech sounds; introduction to basics of speech phonetics and responses from the auditory nerve through the brainstem, midbrain, and cortex; techniques for analyzing speech and neural responses. Students from BME, LING, BCSC, NSCI and other programs will work in interdisciplinary teams on a final project.
BME 413-1 Selected Topics in Augmented and Virtual Reality Mujdat Cetin; Chenliang Xu; Ross Maddox
This is the second course offered as part of the PhD training program on augmented and virtual reality. It builds on the first course, Introduction to Augmented and Virtual Reality (AR/VR). The goal of the course is to provide exposure to problems in the AR/VR domain addressed by various disciplines. The course consists of three one-month long modules in a semester. Modules engage students in particular aspects of AR/VR or hands-on experience on AR/VR. Modules to be offered in various years include: fundamentals of optics for AR/VR; AR/VR in the silicon; foundations of visual perception in the context of AR/VR; computer audition and acoustic rendering; measuring the human brain; deep learning and visual recognition for AR/VR; brain-computer interfacing in a virtual environment; 3D interfaces and interaction; AR/VR for collaborative education & professional training. In Spring 2023, the following three modules will be offered: 1) Deep learning and visual recognition for AR/VR. (Prof. Chenliang Xu) Recent developments in deep learning have significantly advanced state-of-the-art visual recognition in problems such as object detection, activity recognition, and semantic segmentation. In this module, students will learn core concepts in deep learning, including convolutional neural networks and recurrent neural networks. They will receive hands-on experience using popular deep-learning libraries like PyTorch to build visual recognition algorithms for AR/VR systems. 2) Measuring the human brain. (Prof. Ross Maddox) This module will introduce students to studies of human brain function using non-invasive methods. It will focus on experimental paradigms and data analysis in the time and frequency domains. Neural encoding and decoding models and applications to brain-computer interfaces will also be discussed. The module will have a mixed format, with lectures and labs. Lab exercises will be based on analyzing real data from human subjects. 3) Professional encounters with leading AR/VR researchers. This module will involve a series of seminars and discussion sessions with leading AR/VR researchers from academia and industry. Prerequisites: ECE 410 or OPT 410 or BME 410 or NSCI 415 or CSC 413 or CVSC 534 INSTRUCTORS: Chenliang Xu; Ross Maddox; Mujdat Cetin
BME 438-3 Intro to Quality Engineering Amy Lerner
Concepts, tools and techniques for quality engineering in product design and statistical process control, including design of experiments, RCA, FMEA and measurement systems. Class meets January 11 - March 15, 2023. Prerequisite: Basic understanding of statistical methods.
BME 459-1 Applied Human Anatomy Martha Gdowski
This course analyzes the structural composition of the human body from cellular to organ levels. The goal is to provide a foundation in human anatomy appropriate for students interested in the bioscience and health care professions (e.g. nursing, physical therapy, medicine, bioengineering). Learning objectives will be achieved through a combination of lecture and hands-on (laboratory) approaches, reinforced by clinical examples and analysis of how biomedical devices interface with anatomical structures. In addition, students will participate in small group discussions of clinical case studies, make group presentations of topic appropriate biomedical devices, and prepare a term paper on the subject of their choice selected from a list of topics generated by the instructor. Prerequisite: Any introductory biology course.
BME 404-1 Computational Methods Jong-Hoon Nam
The course deals with computational methods to analytically intractable mathematical problems in biological research. For the first half of the course, general numerical analysis topics are reviewed such as linear algebra, ODE and PDE. Through homework assignments, students write their own computer code. Sufficient sample solutions are given to practice various numerical methods within limited time. The rest of the course is comprised of case studies and projects. Examples of computational analyses are drawn from life science problems such as biodynamics of human loco motion, ion channel kinetics, ionic diffusion, and finite element analysis of cells/tissues. For final project, students bring their own research problems, express them in mathematical equations, solve them using custom written computer programs and interpret the solutions. Prerequisites: Fundamental linear algebra, ordinary differential equations, some experience with MatLAB.
Monday, Wednesday, and Friday
BME 415-1 Neuroscience of Neuroprosthetics Sarah McConnell
This class examines the structure, function, and vulnerability of the visual, auditory, vestibular, somatosensory, and motor systems, and explores how neuroprosthetics may ameliorate damage to these systems. Learning objectives will be addressed through lectures, journal article discussions, online discussions, case studies, and student presentations. Prior study in neuroscience is helpful but not required. Prerequisites: Any introductory Biology course. Undergraduates allowed with permission of instructor.
Tuesday
BME 459-3 Applied Human Anatomy REC Martha Gdowski
This course analyzes the structural composition of the human body from cellular to organ levels. The goal is to provide a foundation in human anatomy appropriate for students interested in the bioscience and health care professions (e.g. nursing, physical therapy, medicine, bioengineering). Learning objectives will be achieved through a combination of lecture and hands-on (laboratory) approaches, reinforced by clinical examples and analysis of how biomedical devices interface with anatomical structures. In addition, students will participate in small group discussions of clinical case studies, make group presentations of topic appropriate biomedical devices, and prepare a term paper on the subject of their choice selected from a list of topics generated by the instructor. Prerequisite: any introductory biology course.
BME 589-1 Writing Proposals in BME Anne Luebke; Benjamin Miller
This course covers the essential aspects of organization and content for writing formal scientific proposals. Open to second-year Ph.D. candidates.
Tuesday and Thursday
BME 496-1 Current Research Seminars Stephen McAleavey
No description
BME 412-1 Visco in Bio Tissues Mark Buckley
Viscoelastic materials have the capacity to both store and dissipate energy. As a result, properly describing their mechanical behavior lies outside the scope of both solid mechanics and fluid mechanics. This course will develop constitutive relations and strategies for solving boundary value problems in linear viscoelastic materials. In addition, the closely-related biphasic theory for fluid-filled porous solids will be introduced. An emphasis will be placed on applications to cartilage, tendon, ligament, muscle, blood vessels, and other biological tissues. Advanced topics including non-linear viscoelasticity, composite viscoelasticity and physical mechanisms of viscoelasticity will be surveyed. Preerequisites: ME225 or CHE243; ME226 or BME201
BME 462-1 Cell & Tissue Engineering Hani Awad
This course teaches the principles of modern cell and tissue engineering with a focus on understanding and manipulating the interactions between cells and their environment. After a brief overview of Cell and Tissue Engineering, the course covers 5 areas of the field. These are: 1) Physiology for Tissue Engineering; 2) Bioreactors and biomolecule production; 3) Materials for Tissue Engineering; 4) Cell Cultures and bioreactors and 5) Drug Delivery and Drug Discovery. Within each of these topics the emphasis is on analytical skills and instructors will assume knowledge of chemistry, mass transfer, fluid mechanics, thermodynamics and physiology consistent with the Cell and Tissue Engineering Track in BME. In a term project, graduate students must identify a technological need and present orally and in writing a proposal to meet the need. Must register for LAB and REC when registering for course. Prerequisites: BME 260, CHE225 (or ME123), CHE243 (or ME225), CHE244 and one of the following Cell Biology courses: BME211, BME411, BIO202 or BIO210; or permission of instructor.
BME 472-1 Advanced Biomedical Microscopy Michael Giacomelli
This course will review the engineering of optical system for biomedical microscopy by exploring widely used biomedical imaging systems such as confocal microscopy, multiphoton microscopy and optical coherent tomography among others. These techniques will be introduced in the context of the imaging problems they solve with a goal of giving students a broad, undergraduate level understanding of the constraints and solutions to biomedical microscopy. The graduate version of this course will include additional assignments and be appropriate for graduate students starting out inbiomedical optics. Prerequisites: OPT261 and BME270.
BME 495-23 Master's Research in BME Greg Gdowski
Blank Description
Wednesday
Thursday
BME 438-4 Intro to Quality Engineering - REC Amy Lerner
Concepts, tools and techniques for quality engineering in product design and statistical process control, including design of experiments, RCA, FMEA and measurement systems. Class meets January 11 - March 15, 2023. Prerequisite: Basic understanding of statistical methods.
BME 459-2 Applied Human Anatomy LAB Martha Gdowski
This course analyzes the structural composition of the human body from cellular to organ levels. The goal is to provide a foundation in human anatomy appropriate for students interested in the bioscience and health care professions (e.g. nursing, physical therapy, medicine, bioengineering). Learning objectives will be achieved through a combination of lecture and hands-on (laboratory) approaches, reinforced by clinical examples and analysis of how biomedical devices interface with anatomical structures. In addition, students will participate in small group discussions of clinical case studies, make group presentations of topic appropriate biomedical devices, and prepare a term paper on the subject of their choice selected from a list of topics generated by the instructor. Prerequisite: Any introductory biology course.
Friday
BME 438-5 Intro to Quality Engineering - REC Amy Lerner
Concepts, tools and techniques for quality engineering in product design and statistical process control, including design of experiments, RCA, FMEA and measurement systems. Class meets January 11 - March 15, 2023. Prerequisite: Basic understanding of statistical methods.