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Curriculum

The Master of Science Degree in Biomedical Engineering is a 32 credit program with or without thesis that provides breadth and specialized experience in BME. The thesis option culminates in research experience resulting in publishable work. The coursework for thesis and non-thesis options consists of a biomedical engineering core comprising 15 credits, 9 credits of approved electives, and two 1-credit seminars. For the thesis option, there are 6 credits of research. For the non-thesis option, 6 additional credits are taken in approved electives. 

Core Graduate Courses

Modern Methods in Biomedical Engineering I and II (3 credits each)
This course sequence covers aspects of biomedical engineering, tying in physical and life sciences to engineering concepts. Subject areas include instrumentation, applied molecular and cell biology, thermodynamics, fluid dynamics, and other areas of physics and engineering related to living systems. 


Engineering Computation I and II (3 credits each)
This course covers applied mathematics needed for biomedical engineering. Emphasis is placed on software tools and computational methods. A rigorous overview of statistics is covered, including frequentist and Bayesian methods. 


Ethics (3 credits)
This course covers ethical matters related to healthcare and research with human subjects. Institutional Review Board, clinical trials, and regulatory pathways will be considered with respect to ethical questions. 


Seminar in Biomedical Engineering (1 credit each)
This course will cover timely topics in biomedical research and practice. This course may be repeated for a total of 2 credits.

Elective Courses

Biomaterials & Characterization Methods (3 credits)
This course will cover the standard characterization methods used on various biomaterials such as engineered heart valves typically encountered by biomedical engineers in the field. The course will cover theory, use, and limitations of various characterization methods such as electron microscopy, spectroscopy, optical imaging, and other typical characterization methods. Students will gain hands on use for various instruments and will learn the practical applications and limitations of real characterization devices for biomaterials. 


Introduction to Biomedical Imaging (3 credits)
This course provides a comprehensive introduction to modern biomedical imaging modalities that are currently employed in both biomedical research and clinical medicine. Imaging modalities covered in this course include optical imaging, X-ray radiography, computed tomography (CT), ultrasound, nuclear medicine (SPECT and PET), and magnetic resonance imaging (MRI). The main objective is to offer students a solid understanding of each imaging modality through lectures and assignments. For each imaging modality, we will focus on basic physics, image formation and reconstruction, imaging hardware, and applications. Image analysis and signal processing methods will also be briefly introduced.

Introduction to Bio-image Analytics (3 credits)
Introduction to Bio-Image Analytics provides an overview of a wide range of applications of imaging data, including fundamental methods for quantitative analysis of biological image data, deriving quantitative biomarkers of disease or disease progression, image rendering / visualization for surgical planning and real-time interventional guidance. These applications will be studied with a focus on the fundamental medical image processing techniques underpinning them viz. image filtering (i.e. convolution, smoothing, de-noising, etc.), image segmentation and image as well as point-cloud registration techniques. Fundamentals of statistical data analysis (i.e. T-tests, P-values, concepts of statistical significance, etc.) and machine learning based classification will be introduced from the standpoint of establishing the clinical relevance of several imaging based biomarkers of disease. Programmatic implementation of simple to complex image processing pipelines will be learned from the standpoint of contextual examples and case studies, through in-class tutorials and assignments.

Biomed PIC Microcontroller Projects (3 credits)
This course is designed for the student to learn how to interface a Heart Rate Sensor, a Hydrogen Sensor, an Alcohol Sensor, a Carbon Monoxide Sensor, an Altitude Sensor, and a Pressure Sensor to a Microcontroller. Then, display the results on a Liquid Crystal Display and store the results on a Multimedia SD Card.

Biomed Medical Device Design Considerations (3 credits)
This course is designed to challenge the student to write CCS C-Code for the PIC Microcontroller and a Smart-GLCD (Smart Graphical Liquid Crystal Display), to create a project related to Bio-Medical Engineering. The student should use any hardware and software learned in their previous course work, along with any other material, to produce a medical device project. A linear and a switching power supply tutorial and a schematic capture and printed circuit card layout software tutorial are presented at the beginning of this course. These tutorials will empower the student to design their project. The student will also learn the fundamental requirements of world-wide government agencies, regarding the approval to market a medical device. Lectures on radiated and conducted electromagnetic interference (EMI) suppression techniques and safety for medical products and their power supplies are also presented. The student will find that success in this course will be greatly enhanced by scheduling the elective course "Biomed Advanced PIC Microcontroller Projects with C-code", (BMED 445, BMED 545), in a previous semester.

Introduction to Tissue Engineering (3 credits)
The principles and practice of tissue engineering will be the focus of this course. Topics include strategies for employing selected cells, biomaterial scaffolds, soluble regulators of gene expression, role of stem cells, and mechanical loading and culture conditions, Tissue fabrication techniques as well as the role of bioreactors in tissue development will be explored. Students will investigate using current literature the application of tissue engineering to specific organs.

Mathematical Modeling in Cell & Tissue Engineering (3 credits)
This course addresses dynamic mathematical models of biochemical and genetic networks. Emphasis on how modeling can enhance understanding of cell phenomena. Topics include chemical reaction networks, biochemical kinetics, signal transduction pathways with emphasis on receptor-mediated phenomena, metabolic networks, and gene regulatory networks. Students will use current literature and programing to investigate specific models and their predictive power for biological and tissue engineering applications.

Biomedical Optics (3 credits)
This course covers theoretical foundations of biomedical optics, including light-tissue interactions and optical imaging and sensing methods. Emphasis will be placed on skin optics and photoacoustic phenomena. Students will perform computational modeling, including Monte Carlo simulations of photon transport in turbid media.

Environmental Adaptations & Rehabilitation Technology (3 credits)
Assessment and modification of the physical environment to enhance occupational performance including computer resources, assistive technology, home health, environmental controls, and environmental accessibility.

Biomed Microdevices I (3 credits)
This introductory course will cover fundamentals of micro/nanotechnology and its applications in biomedical sciences. The course will provide rationale for utilizing micro/nanotechnology for biomedical applications including scaling laws. Basic microfabrication methods and design principles of microfluidics, lab-on-a-chip and microelectromechanical systems (MEMS) used in biology and medicine will be presented. Students will gain a broad perspective on applied research and commercial applications of biomedical microsystems.

Biomed Microdevices II (3 credits)
This is an advanced course in the interdisciplinary field of biomedical microdevices. This course will build upon a fundamental understanding of the principles of micro- and nanoscale system design to explore state-of-the-art applications of biomedical microdevices. Students will learn about the cutting-edge micro/nanofabrication techniques and its most recent applications in biomedical sciences through in depth analysis of recent publications.