154 courses with the subject BMES, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
BMES 101Introduction to BMES Design I: Defining Medical Problems2.0
This course is part one in a two-part series meant to instruct students on the unique challenges of designing solutions for biomedical needs. Part one will focus on defining the problem which includes: 1) understanding the medical need, 2) evaluating existing solutions, 3) defining requirements, identifying constraints and 4) choosing tests to verify requirements have been met.
BMES 102Introduction to BMES Design II: Evaluating Design Solutions2.0
This course is part two in a two-part series meant to instruct students on the unique challenges in designing solutions for biomedical needs. Part two will focus on developing solutions that include: 1) generating multiple solution pathways, 2) refining solution choices based on requirements and constraints, 3) conducting experimental verification tests and 4) finally concluding if the solution was a success.
This course is intended to introduce freshman biomedical engineering students in the School of biomedical Engineering, Science and Health Systems at Drexel University to academic programs and opportunities, ongoing research projects and University resources to ensure a successful educational experience at Drexel and beyond. Through class discussions and guest lecture presentations, the students are provided with information and contacts necessary to begin a plan of academic study.
BMES 201Programming and Modeling for Biomedical Engineers I3.0
This course aims to introduce students with some fundamental concepts about programming in MATLAB to give the ability to solve basic bioengineering problems. The course introduces the basics of programming using MATLAB, including programming environment and tools. Fundamental programming techniques and concepts such as loops, switches and logical operators, functions and file handling are covered. Applications in bioengineering for basic numerical problem solving are discussed.
BMES 202Programming and Modeling for Biomedical Engineers ll3.0
The course aims to introduce students to advanced programming concepts and tools to solve numerical problems in bioengineering. It provides the foundation for biosimulation and biocomputation classes. This course introduces advanced programming methods and computational tools for numerical analysis, model design and graphics. Higher-level functionality in MATLAB such as SIMULINK, symbolic processing and CAD related tools are discussed.
The Body Synthetic introduces concepts underlying biological and engineering principles involved in the design of biomedical devices used to treat diseases or interface with the human body.
Covers kinematic (linear and angular momentum) and kinetic (forces and moments) analysis of biomedical systems in two and three dimensional space with rotating coordinate systems.
This course is part 1 in a 2 part series meant to instruct students on how to leverage year appropriate skills while designing solutions to biomedical problems. Students will: a) evaluate mathematical model(s) meant to solve biomedical problem(s), b) write software to simulate these solution(s), c) construct a solution based on simulation specifications, d) employ laboratory standards to verification testing, e) review test results and propose further refinement (written document and oral presentation).
This course introduces students to the measurement of physiological/biological/functional signals. Four specific signals will be collected and analyzed. Students are expected to analyze type of signal to be collected, possible measurement techniques and potential data analysis and then collect and analyze each signal.
This course introduces students to the widespread application of electronics and electronic devices in biomedical engineering. The course reinforces concepts learned in ECE 201 with hands-on experimentation related to biomedical applications such as telemedicine and medical devices.
This course introduces students to the engineering principles of acoustical measurements by combining hands-on laboratory experiences with lectures. Students will learn the engineering/physical principles of measuring sound velocity in different materials, attenuation, and directivity of a circular transducers.
BMES 305Laboratory V: Musculoskeletal Anatomy for Biomedical Engineers2.0
This course provides an opportunity for students to study the anatomy and biomechanics of select articulations of the human body. While the main emphasis will be on the musculoskeletal structures associated with each articulation, major neural and vascular structures will be studied as well.
This course is designed to introduce biomedical engineering students to the fundamentals of biostatistics necessary for medical research. Topics covered include measurements, sampling, basic hypothesis testing, analysis of variance and regression. Medical applications are emphasized.
BMES 315Experimental Design in Biomedical Research4.0
This course is designed to introduce students to the fundamental principles of experimental design and statistical analysis as applied to biomedical research with animals and humans. Topics to be covered include experimental design, clinical design, and protocol submission and review.
This course is the first part of a two-term sequence which introduces biomedical engineering students to engineering principles applied to biological and physiological systems. This course focuses on bioethical questions, biomechanics, human performance engineering, biomaterials and tissue engineering.
BMES 326Principles of Biomedical Engineering II3.0
This course is the second part of a two-term sequence which introduces biomedical engineering students to engineering principles applied to biological and physiological systems. This course focuses on bioinformatics, neuroengineering, biosignal processing, biosensors, and medical imaging.
BMES 337Introduction to Physiological Control Systems3.0
Introduces the basic concepts of control theory as it is applied to biomedical systems including electrical, mechanical, physiological and cellular systems.
Introduces the wide spectrum of ethical, regulatory, and legal issues facing health care practitioners and health-related research workers. Helps students become aware of the ethical and legal issues involved in their work. Helps students understand how legal and ethical decisions should be made in health-related matters, as well as what sources of help and guidance are available.
This course is part 2 in a 2 part series meant to instruct students on how to leverage year appropriate skills while designing solutions to biomedical problems. Students will: a) develop mathematical model(s) to solve a biomedical problem(s), b) write software to simulate these solution(s), c) fabricate a solution based on simulation specifications, d) verify design solution according to identified engineering standards, f) review test results and propose further refinement (written document and oral presentation).
This course introduces the fundamentals of mechanics of deformable bodies relevant to biological tissues and biomaterials. Major topics include stress and strain, mechanical properties of biological tissues and biomaterials, axial loading, torsion, bending, and viscoelasticity. These concepts will be applied to biological examples such as long bones, the heart, blood vessels, and orthopaedic implants.
BMES 353Computational Neuroscience and Neuroengineering3.0
This course provides an introduction to the concepts, methods and applications in the fields of computational neuroscience and neuroengineering. Topics presented include basic electrophysiology, development of models of neurons, neural systems, neural signals and survey of traditional and emerging neurotechnologies for recording and altering brain activity.
This course provides the foundation for the mathematical analysis of biomedical engineering systems. It focuses on the essential mathematical methods necessary for further development of modeling and simulation skills in other courses (materials, mechanics, fluids/transport, signals/control system, etc). The course applies calculus, differential equations and linear algebra to developing analytical techniques for biomedical applications.
This course introduces undergraduate students to the mathematical and computational analysis of biological systems. The systems analyzed include the genome, protein and gene networks, cell division cycles, and cellular level disease. Mathematical tools include matrix algebra, differential equations, cellular automata, cluster analysis, etc.
This is the first course in a two-course sequence intended to present the basics of engineering design, project management, product development and translational research. This first course focuses on engineering design and product development. A case-study approach is used to illustrate best practices and common mistakes in engineering design.
This is the second course in a two-course sequence intended to present the basics of engineering design, project management, product development and translational research. This second course focuses on project management and quality control. A case-study approach is used to illustrate best practices and common mistakes in management and evaluation of engineering projects.
This course introduces the student to the medical instrumentation and provides background on the physical, chemical, electronic and computational fundamentals by which medical instrumentation operates. It is an analytical course exploring the design, operation, safety aspects and calibration of primary electronic instruments.
Continues BMES 391. Explores the operation, safety aspects, and calibration of primarily optical and acoustical instruments, as well as those involving ionizing radiation. Also examines instrumentation primarily intended for particular departments and areas, such as anesthesia and infusion.
Introduces the general topic of microsensors, discusses basic sensing mechanisms for microsensors, and presents various types of conductometric, acoustic, silicon, and optical microsensors. Uses two case studies that include an acoustic immunosensor and silicon glucose sensor to provide students with in-depth knowledge and hands-on experience. Provides additional experience through three laboratory sessions that support the lectures and familiarize students with practical aspects of microsensors. Also discusses applications of microsensors in the medical, chemical, pharmaceutical, environmental, aeronautical, and automotive industries.
Introduces the basic concepts of feedback and feed forward controls systems, including characterizations in terms of prescribed constraints, study of input and output relationships for various types of physiological systems, and stability and time-delay problems. Covers mathematical models of physiological systems, with emphasis on non-linear and adaptive systems study.
BMES 407Techniques in Biomaterials and Tissue Engineering1.0
This course provides training and experiences for skills relating to Biomaterials and Tissue Engineering in a hands-on laboratory setting. The course addresses cellular work in 3D scaffolds and histological techniques, as well as assays and experience quantifying experimental data in the field.
This course serves as the foundation course in entrepreneurship and is designed to provide students with a complete working knowledge of the modern entrepreneurial and business planning process.
BMES 411Chronoengineering I: Biological Rhythms in Health and Performance3.0
Introduces students to the concepts of biological, and especially circadian, rhythmicity. Advances students' knowledge of biological time-keeping and adaptive functions of biological clocks. Topics include biochemical and physiological models of biological clocks, adjustment to environmental cycles, rhythms in behavior and physiological functions, sleep-wake cyclicity, adaptability of circadian systems, and influences of rhythms on human physiology and behavior. Designed to give students a thorough understanding of the role rhythms play in animal and human behavior, physiology, and medicine.
BMES 412Chronoengineering II: Sleep Functions in Health and Performance3.0
Continues BMES 411. Enhances students' education in the concepts of biological, and especially circadian, rhythmicity. Focuses on sleep patterns, rhythms, evolution, neurology, psychology, and overall function.
BMES 415Systems Neuroscience and its Applications in Medicine and Engineering3.0
Our perception and behavior are a result of computations performed by an astronomical number of densely connected neurons. Problems in these computations underlie many neurological diseases. Until recently it has been very difficult to understand neural computations at the level of single neurons. Recent progress in computation and breakthroughs in genetics and engineering has made it possible to understand macroscopic phenomenon like perception and behavior at the level of microscopic properties of single neurons. This course introduces students to the neuronal and circuit basis underlying sensory processing and perception, to neurological disorders that are result of incorrect neuronal processing, and to the application of these circuits to devices around us.
BMES 416Building Careers in Pharmaceutical Science1.0
This course combines classroom discussion and meeting with mentors who work in the pharmaceutical industry. Throughout the term, students will build connections and learn about the pharmaceutical industry, resume building, interview practice, and career planning. When not meeting with mentors in small groups, the class will share experiences and prepare for mentoring sessions through class activities. This course will develop students’ professional readiness, knowledge of the pharmaceutical industry, and personal network for future pursuits.
Brain Computer Interface (BCI) is defined as a combination of neurotechnologies that can capture or modulate brain activities related mental tasks, process and classify these brain signals in order to communicate, control or interact with external devices such as computers and robots. The goal of this course is to provide an introduction to the state of the art brain computer interface technologies, current approaches, limitations, potentials and various types of applications.
This course gives an introduction into modern bioimaging methods used for biological research and clinical diagnostic imaging. Students will have the opportunity for hands-on experiences by working with advanced light microscopes. This course will also review and apply complementary image processing methods which have been developed to process, render, display and store multi-dimensional images. The relation between the image quality achieved by the imaging apparatus, the appropriate methods for image enhancement and subsequent analyzing procedures will be highlighted.
BMES 422Biomedical Imaging Systems II: Ultrasound4.0
Intended for students who would like to gain an adequate understanding of diagnostic ultrasound imaging principles and become familiar with developments in this rapidly expanding field. Introduces medical visualization techniques based on ultrasound propagation in biological tissues. Topics include generation and reception of ultrasound, imaging techniques (A-mode, B-mode, M-mode, and Doppler), typical and emerging diagnostic applications, elements of ultrasound exposimetry, and safety aspects from the clinical point of view.
Covers volumetric and functional imaging systems. Discusses the principles and algorithms of projection tomography, XCAT, SPECT, PET; the principles of MRI: Bloch equation, slice selection, K-space scanning, volumetric MRI; biochemical imaging; chemical equilibrium equations and Scatchard plots, specific and nonspecific labeling; autoradiography; and flow and dynamical systems: Doppler, mass transport, and phase (MRI) measurement of flow.
This course introduces types and categories of neuroimaging methods that can measure brain anatomy as well as brain activity including MRI, PET, CT, SPECT, EEG and NIRS. For each modality, basic principles, technical foundations of its operation, neural signals, visualization and analysis of multidimensional data, relevant standards will be provided as well as an overview of the clinical and translational applications.
BMES 430Neural Aspects of Posture and Locomotion3.0
Students will study the physiology of sensory/motor systems, with emphasis on modeling of neural systems and biomechanical aspects of functional tasks. Combines information on basic nerve cell activities, synaptic communication and structure/function relationships of skeletal muscle with basic mechanics to study spinal, vestibular and ocular reflexes. Culminates with the study of the control of motor systems with respect to bipedal motion.
Introduces various aspects of biomedical signals, systems, and signal processing. Covers topics in the origin and acquisition of biomedical signals; discrete-time signals and linear systems; frequency analysis of discrete-time signals, spectral estimation, data records and digital filters; and compression of biomedical signals through time-domain and frequency-domain coding.
The objective of the course is to prepare students for biomechanical modeling, modeling methods, formulation of equations of motion and methods of determination of strength will be applied to human body dynamics. Particular emphasis is placed on the use of Rigid Body and Multi-Body Dynamics.
BMES 441Biomechanics I: Introduction to Biomechanics4.0
Teaches students to use mechanical tools to get an introductory appreciation for solving biomechanical problems. Models human performance by using static, quasi-static, and dynamic approaches. Assesses overall loading of the musculoskeletal system during functional activities. Demonstrates introductory methods of estimation of forces in the joints and muscles and evaluates the endurance of the human tissues under traumatic loading conditions. Builds on existing knowledge in mechanics to illustrate the practical application of mechanical tools in the determination of human systems performance.
BMES 442Biomechanics II: Musculoskeletal Modeling and Human Performance4.0
Teaches students to think biomechanically. Reviews and categorizes the various functional components (tissues) of the musculoskeletal system. Considers constraints of the joints and action of the soft and hard tissues, along with corresponding models. Computes joint and muscle forces. Discusses some aspect of postural stability of the whole musculoskeletal structure and reviews various methods of task performance.
This course introduces flow-related anatomy and pathophysiology, and biomedical flow devices and their design challenges. Analysis methods to solve biological fluid mechanics design problems will be introduced and several interdisciplinary team projects will be assigned to apply fluid mechanics to practical biological or medical problems.
Introduces students to applications of chemical engineering concepts in biological systems. Shows that chemical engineering approaches to problem solving are ideally suited to investigation of biology. Approaches include material and energy balances, transport phenomena, and kinetics.
The Medical Technology (MedTech) Innovation series of courses aim to take students on an international innovation journey from ‘concept to commercialization’ starting from R&D bench all the way to the healthcare trench. Undergraduates enrolled in MedTech I are introduced to fundamental concepts and established practices that underlie medical technology innovation in general, and technology assessment and due diligence in particular. This course is offered as part of the Global Innovation Partnership (GIP) curriculum.
The Medical Technology Innovation (MedTech) series of courses aim to take students on an international innovation journey from ‘concept to commercialization,’ starting from the R&D bench to the healthcare trench. The series deepen understanding of medtech innovation by introducing learners to the brave world of startups, ecosystems that sustain them as well as the array of actors, players and stakeholders who nurture them. Medical Technology Innovation II is focused on biologics, in particular, emerging fronts in medical biotechnologies including biosensing, gene, cell, tissue and immune technologies.
Starts with primer on natural (human) and artificial (computational) intelligence followed by an intro to emerging neuro-technologies including brain-computer interfaces, neuroimaging, neurostimulation/neuromodulation, neuroergonomics, brain-in-the-loop systems, human-robot teaming, humanoid robots and ‘human autonomy’ in context of rapidly emerging digital trends. Course proceeds to application domains such as gaming, entertainment, health, aerospace, learning & behavioral economics in the global context. Content emphasizes responsible brain-technology convergence respectful of neurorights and responsive to potential social, professional, legal and ethical implications. Foresight, Cyber-Brain Security, Complexity, Immersive Experiential Virtual Environments (aka Metaverse), Generative AI are running threads.
First course in a three-quarter sequence designed to acquaint students with the behavior of materials used in biomedical application under load (i.e., mechanical properties), their modes of failure and as a function of their environment. This course provides students with the fundamentals needed to proceed with Biomaterials II.
Second course in a three-quarter sequence in biomaterials. The goal of this course is with an understanding of, and ability to select, appropriate materials for specific applications taking into account mechanical, thermal, and rheological properties taught in Biomaterials I and combining them with the biocompatibility issues covered in the present course.
BMES 467Cell and Gene Therapy (CGT) Manufacturing and Regulatory Requirements3.0
The CGT Manufacturing and Regulatory Requirements course explores the principles and current challenges of manufacturing cell & gene therapy drug products while following regulatory requirements to maintain patient safety. This course provides insight into foundational, introductory concepts of cell and gene therapy and the manufacturing principles associated with each. Cell and gene therapy manufacturing life cycle is discussed in detail along with the current challenges associated with end-to-end supply/production.
BMES 471Cellular and Molecular Foundations of Tissue Engineering4.0
Course is designed to familiarize students with the advanced concepts of cellular and molecular biology and physiology relevant to tissue engineering. The initial part of a two-quarter sequence combining material from cellular/molecular biology, evolutionary/developmental biology with engineering design and biomaterials to educate students in the principles, methods, and technology of tissue engineering.
BMES 472Developmental and Evolutionary Foundations of Tissue Engineering4.0
Familiarizes students with advanced concepts of developmental and evolutionary biology relevant to tissue engineering. This second part of the two-quarter sequence combines material from cellular/molecular biology and evolutionary design and biomaterials to educate students in the principles, methods, and technology of tissue engineering.
BMES 475Biomaterials and Tissue Engineering III4.0
This course provides students with in-depth knowledge of factor-mediated tissue engineering and regenerative medicine. Students learn about fundamental repair and regenerative processes and gain an understanding of specific biomaterials being used to mimic and/or enhance such processes. Students also learn about the delivery methods of agents which promote the proper functional development of specialized tissues.
Introduces the theory of neural signaling. Students will learn the fundamental theory of cellular potentials and chemical signaling, the Hodgkin-Huxley description of action potential generation, circuit representations of neurons and be able to derive and integrate equations describing the circuit as well as design computer models.
BMES 478Neuroengineering II: Principles of Neuroengineering3.0
This course investigates cutting edge technologies in neuroengineering in a seminar-style format with faculty from the School of Biomedical Engineering and College of Medicine. Three modules cover topics, which vary from year to year. Students are expected to submit written and oral presentations covering each topic.
This course introduces students to the fundamentals of immune engineering, including the major cell types of the innate and adaptive immune systems and the major tools and techniques that are used to modulate the immune system for therapeutic or diagnostic benefit.
This course exposes students to cutting edge topics in immune engineering, including novel targets, new tools and techniques, and special applications.
This course uses a data-driven systems engineering approach to provide a foundation in systems biology. Topics covered include the organization of robust networks of genes and proteins; intercellular communication; and cells as basic units of life.
This course is designed to provide students with hands-on experience in the application of genomic, proteomic, and other large-scale information to biomedical engineering. The underlying goal is to develop an understanding of high-throughput technologies, biological challenges, and key mathematical and computational methods relevant to biomedical engineering.
This course explores an exciting aspect of neuroengineering, brain computer interfaces (BCI), in a hands-on laboratory setting. The course addresses both the human and computational elements of the technology emphasizing an engineering perspective while utilizing and modifying common paradigms in electroencephalogram (EEG)-based BCIs.
Medical device product development must take into account a diverse set of disciplines to achieve a safe and successful product. This course exposes the student to several of these disciplines with the objective of raising the student's awareness of safety throughout the product development life cycle. Students will learn to appreciate the complex engineering decisions that support development of a safe medical device through an examination of risk management, regulatory processes, human factors and clinical studies.
This course provides biomedical engineering students with an opportunity to observe basic operative and postoperative procedures with the idea of both learning about such procedures and identifying the role of biomedical engineering in these clinical settings.
Subject
BMES
Credits (min)
3
Credits (max)
3
Credit unit
Credits
Type
course
Repeatable
Can be repeated 2 times for 9 credits Restrictions: Can enroll if major is BME.
First course in a three-course sequence designed to acquaint students with the fundamentals of biology and physiology from an engineering perspective. This first course covers evolution, genetics, molecular biology and basic cellular physiology.
Second course in a three-course sequence designed to introduce students to the fundamentals of biology and physiology from an engineering perspective. This second course covers important concepts in cell physiology and highlights applications of these concepts in biomedical engineering.
Third course in a three-course sequence designed to introduce students to the fundamentals of biology and physiology from an engineering perspective. This third course focuses on understanding physiology from the cellular to systems scales, with an emphasis on biological control systems and applications in biomedical engineering.
This course is for students of biology and related medical fields aimed at bridging the gap between qualitative and quantitative approaches in the study of biological processes. Topics include single and multivariable calculus infinite series, etc.
This course for students of biomedical science or biomedical engineering is designed to permit the student to go on to advanced studies in engineering and science in which differential equations are needed. Biological applications are emphasized.
BMES 507Mathematics for Biomedical Sciences III3.0
This course covers topics in Fourier series and orthogonal functions, partial differential equations, and boundary value problems. Applications are made to problems in neuro-physiology, cellular transport, and biological oscillations.
This course emphasizes engineering approaches to the analysis of the cardiovascular system focusing on fundamental mechanics and emerging technologies.
BMES 509Entrepreneurship for Biomedical Engineering and Science3.0
This course serves as the foundation course in entrepreneurship and is designed to provide students with a complete working knowledge of the modern entrepreneurial and business planning process.
This course introduces the graduate student to the fundamentals of inferential statistics with biomedical applications. It covers topics in data presentation, sampling, experimental design, probability and probability distributions, significance tests, and clinical trials.
BMES 511Principles of Systems Analysis Applied to Biomedicine I3.0
Covers formulation of biological problems by rigorous mathematical techniques, including application of conservation laws, network theorems, and mesh and nodal analysis.
BMES 515Experimental Design in Biomedical Research4.0
This course is designed to introduce students to the fundamental principles of experimental design and statistical analysis as applied to biomedical research with animals and humans. Topics to be covered include experimental design, clinical design, and protocol submission and review.
BMES 516Building Careers in Pharmaceutical Science1.0
This course combines classroom discussion and meeting with mentors who work in the Pharmaceutical Industry. Throughout the term, students will build connections and learn about the Pharmaceutical Industry, resume building, interview practice, and career planning. When not meeting with mentors in small groups, the class will share experiences and prepare for mentoring sessions through class activities. This course will develop students’ professional readiness, knowledge of the Pharmaceutical Industry, and personal network for future pursuits.
The purpose of this course is to acquaint students with some of the statistical tools commonly used in biomedical and health sciences research. The course will provide the student with a basic theoretical background on the procedures of repeated measures ANOVA and selected multivariate statistical tests. It will familiarize students with the use of computer-based statistical analyses.
The focus of this course is on understanding the methods used to analyze and interpret the results of quantitative data analyses in the biomedical and health sciences and determine their meaningfulness (clinical significance). Fundamental to this process is an understanding of the interrelatedness of statistical power, effect size, sample size and alpha.
An introductory course in the general area of microsensors covering basic sensing mechanisms and various types of conductometric, acoustic, silicon, optical and MEMS microsensors. Two case studies involving biosensors and acoustics sensors allow students to acquire in-depth knowledge in the theory and design of microsensors.
The second course in a two-course sequence, this course covers aspects of modern biosensor design methods and addresses challenges associated with fabrication technologies and instrumentation techniques. Topics covered include the theory and modeling of biosensors, fabrication steps, and testing methods.
This course will introduce students to concepts related to childhood injury and disease and to current treatment paradigms for pediatric patients. The objective is for students to develop a fundamental understanding of childhood injury and disease, healthcare, and treatment strategies which underscore the need for new and innovative therapies for pediatric patients. Instructors will discuss how the needs of pediatric patients vary considerably due to differences in size, rates of growth, critical development periods, anatomy, physiological differences, and physical activity levels.
This course will leverage the content from BMES 528 by introducing students to the challenges and limitations of current treatment paradigms for pediatric patients and by studying the landscape of pediatric medical device development. Focus will be on the scientific and engineering concepts, methods, and approaches to address healthcare challenges with direct relevance to pediatric patients, including pediatric medical devices and unmet clinical needs. There is and has been a compelling and recognized need for the development of new medical devices and therapies for pediatric patients. The objective is to train the next-generation of students for future scientific and technical careers in pediatric engineering, healthcare, entrepreneurship, and innovation that will have a lasting impact on global health.
This course advances the student's knowledge of biological time-keeping and adaptive functions of biological clocks. It includes such topics as biochemical and physiological models of biological blocks, adjustment to environmental cycles and rhythms in behavior and models.
BMES 534Design Thinking for Biomedical Engineers3.0
This course is a studio-seminar exploring principles and theories of product design, systematic design process, problem-solving, decision-making and design as authorship. The course uses design research methods and topical design issues to explore and experience design thinking.
BMES 535Introduction to Product Design for Biomedical Engineers3.0
This course introduces students to basic product design techniques. It combines lectures, demonstrations, discussions and problem solving exercises exploring product design as a creative process in the production of simple objects. Students develop a command of product development, skills in modeling and communication of their novel solutions.
Introduces a wide spectrum of ethical, regulatory, and legal issues facing health care practitioners and biomedical researchers. The course helps students become aware of the ethical and legal issues involved in their work while increasing the student's understanding of how legal and ethical decisions should be made in biomedical research, as well as what sources of help and guidance are available.
BMES 541Nano and Molecular Mechanics of Biological Materials3.0
This course aims to provide students with the fundamental knowledge and latest scientific developments in molecular mechanics of biological materials. The first half of the course will introduce interdisciplinary theoretical background including molecular physics, electrostatics, colloidal science, biocompatibility and polymer mechanics. The second half will describe the most recent advances in nanotechnology and nanomechanics-related biomechanical and biomedical research. Students are expected to understand the fundamental knowledge of the molecular-level phenomena in biological systems, and to grasp the basic design and operation principles of nanomechanical instruments.
This course uses a data-driven systems engineering approach to provide a foundation in systems biology. Topics covered include the organization of robust networks of genes and proteins; intercellular communication; and cells as basic units of life.
This course is designed to provide students with hands-on experience in the application of genomic, proteomic, and other large-scale information to biomedical engineering. The underlying goal is to develop an understanding of highthrough experimental technologies, biological challenges, and key mathematical and computational methods relevant to biomedical engineering.
This course provides hands-on experience in advanced computational methods used in systems biology: pathway and circuitry, feedback and control, cellular automata, sets of partial differential equations, stochastic analysis, and biostatistics.
This course aims to develop the computational skills relevant to Bioinformatics and related fields. MATLAB will be the primary programming languages utilized in this course, and some exposure to Python will be provided. The focus will be on gaining hands-on knowledge in these programming languages and in the biocomputing toolboxes and libraries available for them.
BMES 547Machine Learning in Biomedical Applications3.0
Machine Learning is a computational approach for construction of algorithms that can learn from and make predictions on data. The focus of the course is to deliver a practical approach that can help appropriate utilization of machine learning methods for data exploration and prediction tasks in biomedical applications. Applications will be drawn from bioinformatics, neuro-engineering, and biomedical image analysis, with special emphasis given to feature extraction and representation strategies specific to the data types prevalent in these domains. The machine learning concepts and methods will include parameter density estimation, dimension reduction, supervised and unsupervised learning, neural networks, and support vector machines.
BMES 548Structural Bioinformatics and Drug Design3.0
This is an interdisciplinary course that introduces students to protein structure and drug design, using computational methods. Experimental and computational modeling methods for biomolecular structures will be discussed and state of the art software tools will be introduced for homology modeling, protein design, drug design, and molecular docking applications.
This course provides an introduction to modern genomic and sequencing technologies, focusing on genomic technologies to extract information from three primary biological molecules, DNA RNA, and protein. The course takes an engineering approach that studies the key technological advancements driving the development and utilization of these methods. In addition to a technical investigation of these technologies, the course will also discuss biomedical applications of these technologies and introduce basic data analysis algorithms developed for processing their output. This course will involve both lectures and hands-on lab experience.
This course provides hands-on education in programming languages used in biomedical applications. Specific programming languages explored will reflect the current state of practice and may include one or more of MATLAB, Python, R, Php, C/C++, and Java languages. This course focuses on advanced programming topics including data communication, high performance computing, database systems, web interactions, and graphical and web interfaces. The principal application areas to be investigated include Bioinformatics (algorithms on strings and sequences), image analysis, feedback and control systems, and network modeling and simulation.
Introduces discrete time signals and systems; origin and classification of biomedical signals; data acquisition, filtering, and spectral estimation of medical signals; compression of medical signals; new processing approaches and time-frequency representation and wavelets.
Additive manufacturing, also known as 3D printing, is currently revolutionizing the way things are created and used in biomedical engineering, especially in the context of the regulated medical device industry. In this introductory course, we will focus on the materials and printing technologies used for additive manufacturing of medical devices as well as bioprinting, including developing skills needed for hands-on assembly and operation of extrusion-based 3D printing of low temperature polymers. The goal of this course is to provide students with basic hands-on skills and an overview of additive manufacturing in a biomedical engineering context, and to prepare students for independent research and investigation of more advanced topics in 3D printing of medical devices and implants.
Additive manufacturing, also known as 3D printing, has revolutionized the production of patient specific medical devices, permanent implants, and diagnostics. Although the COVID pandemic popularized the idea of producing medical devices such as personal protective equipment at the point of care (POC) for health care providers and patients, the field of POC additive manufacturing is rapidly expanding into patient-specific surgical instruments and permanent implants. In this course, we will study what happens “out of the box” of the 3D printer: the design process for patient-specific medical devices, including developing skills needed for hands-on medical image segmentation, device design, verification, and validation, all of which needs to happen before a device can be used at the POC.
BMES 571Biological Evolution: Applications to Human Health and Performance4.0
This course is designed to provide students with an evolutionary perspective on health and disease. The focus is on humans as products of evolution by natural selection and as such, subject to the same relationships and historical precedents that govern the rest of the natural world. Topics to be covered include ecological damage and emerging diseases, sociobiological perspectives on behavioral disorders, the development of resistance in pathogens, and adaptation and maladaptation of humans to urban environments.
This course helps students gain exposure to medtech innovation culture and community by interfacing with innovators, prototype engineers, industrial designers, product and business developers, entrepreneurs, intellectual property, regulatory and legal professionals, and economic development experts and investors. Students are expected to study ecosystems that engender medical innovation and conduct due diligence on actual companies in terms of technology, management, and commercialization viability. Through this course, the medtech innovation journey comes alive; as a bonus, students expand their medtech networks and outreach to innovation industry.
Medical Technology Innovation: Biologics course is focused on biologics, in particular, emerging fronts in medical biotechnologies including biosensing, gene, cell, tissue and immune technologies. This courses provide a primer on basics of Biologics medical technology innovation from concept to commercialization, starting from laboratory proof-of-concept studies as well as translational research and technology transfer of research discoveries.
BMES 587Brain Technology Convergence: Your Brain on the Metaverse3.0
This interdisciplinary course brings two futures together: Neurotechnologies and Virtual Immersive Virtual Worlds. Starting with a primer on natural (human) and artificial (computational) intelligence, virtual and immersive media and the Metaverse, students are introduced to emerging neuro-technologies including brain-computer interfaces (BCI), neuro-imaging, neuro-stimulation, neuroergonomics, brain-in-the-loop systems, human-robot teaming, humanoid robots and ‘human autonomy.’ The course then proceeds to application domains such as gaming, entertainment, health, aerospace, learning and behavioral economics. The content emphasizes ‘responsible brain-technology convergence’ that is respectful of our neurorights as individuals and responsive to potential social, professional, legal and ethical implications.
Medical device product development must take into account a diverse set of disciplines to achieve a safe and successful product. This course exposes the student to several of these disciplines with the objective of raising the student's awareness of safety throughout the product development life cycle. Students will learn to appreciate the complex engineering decisions that support development of a safe medical device through an examination of risk management, regulatory processes, human factors and clinical studies.
This course provides biomedical engineering students with an opportunity to observe basic operative and postoperative procedures with the idea of both learning about such procedures and identifying the role of biomedical engineering in these clinical settings.
Covers the interaction between chemical agents and biological systems at all levels of integration. Discusses general classes of drugs, with particular emphasis on general concepts and problems of medical importance.
BMES 609Emerging Technologies in the Healthcare System3.0
The course provides a robust understanding of the current healthcare landscape and offers a view into the "future-state" of the quickly changing environment. Students will learn to address the complexities of the healthcare industry and global challenges faced by 4P's (pharma, patient, payer, and provider) through innovative problem solving. Students will gain insights about the application of emerging technologies and data to tackle the future-states of the healthcare system.
Introduces the basic concepts of feedback control systems, including characterization in terms of prescribed constraints, study of input and output relationship for various types of biological systems, and stability and time delay problems in the pupillary reflex/eye-hand coordination system.
Provides an overview of the field of medical imaging. Covers aspects of light imaging; systems theory, convolutions, and transforms; photometry, lenses, and depth of field; image perception and roc theory; three-dimensional imaging; image acquisition and display; and image processing operations, including scanning and segmentation.
Introduces medical visualization techniques based on ultrasound propagation in biological tissues. Includes generation and reception of ultrasound, imaging techniques (A-mode, B-mode, M-mode, and Doppler), typical and emerging diagnostic applications, elements of ultrasound exposimetry, and safety aspects from the clinical point of view.
Introduces elements of wave imaging, including wave propagation, Fourier optics and acoustics, limitations on resolution, ultrasound transducer characterization, and synthetic aperture systems. Examines MRI imaging in detail, including physical principles and scanning methodologies. Includes aspects of the psychophysics of human vision.
This course introduces types and categories of neuroimaging methods that can measure brain anatomy as well as brain activity including MRI, PET, CT, SPECT, EEG and NIRS. For each modality, basic principles, technical foundations of its operation, neural signals, visualization and analysis of multidimensional data, relevant standards will be provided as well as an overview of the clinical and translational applications.
This course is designed to familiarize students with advanced concepts of cellular and molecular biology relevant to tissue engineering. This is the initial course in a three-course sequence combining materials from life science, engineering design and biomaterials to educate students in the principles, methods and technology of tissue engineering.
This course familiarizes students with advanced concepts of developmental and evolutionary biology relevant to tissue engineering. The second part of a three-course sequence combines materials from cellular/molecular biology, evolutionary design, and biomaterials to education students in the principles and methods of tissue engineering.
Designed to acquaint students with the response of biological tissues to mechanical loads and with the mechanical properties of living systems. Covers topics in musculoskeletal anatomy and functional mechanics; a review of mechanical principles, statics, dynamics, and materials; soft and hard tissue mechanics; mechano-pathological conditions in biological tissues and their correction; and prosthetics.
This course of cellular bioengineering focuses on mechanics and transport. Material builds upon undergraduate engineering education to place engineering mechanics into the context of biological function at the cellular level.
BMES 651Transport Phenomena in Living Systems I3.0
Covers physical principles of momentum, energy, and mass transport phenomena in blood and other biological fluids; diffusion and convection at the microcirculatory level; physiology of arteries and veins; and local and systemic blood flow regulation and vascular disease.
First course in a three-quarter sequence designed to acquaint students with the behavior of materials used in biomedical application under load (i.e., mechanical properties), their modes of failure and as a function of their environment. This course provides students with the fundamentals needed to proceed with Biomaterials II.
Second course in a three-quarter sequence in biomaterials. The goal of this course is with an understanding of, and ability to select, appropriate materials for specific applications taking into account mechanical, thermal, and rheological properties taught in Biomaterials I and combining them with the biocompatibility issues covered in the present course.
BMES 667Cell and Gene Therapy (CGT) Manufacturing and Regulatory Requirements3.0
The Cell and Gene Therapy (CGT) Manufacturing and Regulatory Requirements course explores the principles and current challenges of manufacturing cell and gene therapy drug products while following regulatory requirements to maintain patient safety. This course provides insight into foundational introductory concepts of cell and gene therapy and manufacturing principles associated with each. Cell and gene therapy manufacturing life cycle is discussed in detail along with the current challenges associated with end-to-end supply/production.
BMES 669Techniques in Cell Engineering and Gene Therapy3.0
This course provides training and experiences for skills relating to cell engineering and gene therapy in a hands-on laboratory setting. The course addresses cellular work and aseptic techniques, as well as experimental foundations of gene therapy, transfection and gene editing. Assays will be performed and experimental data of proteins and cellular readouts will be analyzed.
This course introduces students to the fundamentals of immune engineering, including the major cell types of the innate and adaptive immune systems and the major tools and techniques that are used to modulate the immune system for therapeutic or diagnostic benefit.
This course exposes students to cutting edge topics in immune engineering, including novel targets, new tools and techniques, and special applications.
This course focuses upon the mathematical analysis of biomedical engineering systems. As the first course in the biosimulation sequence, the course is a blend of analytical and numerical methods with strong emphasis on analytical approaches. The class concentrates on the application of mathematical concepts to biomedical problems drawn from physiological systems, cellular and molecular systems, bioimaging and biomedical device design.
The second in a two-course sequence, this course focuses upon the mathematical modeling and subsequent computational analysis of complex biological systems. Specific examples are drawn physiological systems, cellular and molecular systems, bioimaging and biomedical device design and analysis. Topics covered include: modeling of complex bioengineering systems; parameter estimation and optimization of such models; and application of probability and statistical approaches as required.
BMES 675Biomaterials and Tissue Engineering III4.0
This course provides students with in-depth knowledge of factor-mediated tissue engineering and regenerative medicine. Students learn about fundamental repair and regenerative processes and gain an understanding of specific biomaterials being used to mimic and/or enhance such processes. Students also learn about the delivery methods of agents which promote the proper functional development of specialized tissues.
BMES 677Mathematical Modeling of Cellular Behavior3.0
This course focuses upon the mathematical analysis of cellular processes. Topics include reaction kinetics, enzyme kinetics, receptor-ligand binding and trafficking dynamics, cell signaling processes, cell migration and cytoskeletal dynamics, and cell-scale transport phenomena.
BMES 678Biocomputational Modeling and Simulation3.0
This course focuses on computational methods used to simulate and analyze dynamical systems in biological systems. Solutions of ordinary differential equations using both symbolic and numerical methods and parameter estimation from experimental data are discussed. 3D modeling and simulation are introduced. Graphical tools to design and simulate models are demonstrated.
BMES 685Experimental Methods in Neuroengineering2.0
This course explores an exciting field of neuroengineering, brain computer interfaces (BCI), in a hands-on laboratory setting. The course addresses both the human and computational elements of the technology emphasizing an engineering perspective while utilizing and modifying common paradigms in electroencephalogram (EEG)-based BCIs such as motor imagery and the P300 speller. Students are expected to understand the EEG signal and develop good recording techniques to assess and modify data collection and processing in real time. This course will also discuss how the techniques and algorithms addressed in this class translate to other modalities such as fNIR as well as more invasive systems. This course includes a lecture and laboratory component.
This course covers aspects of neural signaling, including fundamentals of action potential generation, generator potentials, synaptic potentials, and second messenger signals. Students learn Hodgkin-Huxley descriptions, equivalent circuit representations and be able to derive and integrate descriptive equations and generate computer simulations.
This course is an in-depth student of some of the cutting-edge technologies in neuroengineering. The course draws on faculty in the College of Medicine and School of Biomedical Engineering, Science and Health Systems to present and investigate three topics in neuroengineering.
BMES 715Systems Neuroscience and Applications I3.0
This course will introduce you to the neuronal and circuit basis underlying sensory processing and perception, to neurological disorders that are result of incorrect neuronal processing, and to the application of these circuits to devices around us. Emphasis will be placed on cutting-edge techniques: Computational, experimental and therapeutic techniques will be covered.
Brain Computer Interface (BCI) is defined as a combination of hardware and software systems that allows capturing brain activities to control or interact with external devices such as computers and robots. This course will familiarize students with principles and main methods in the emerging and rapidly growing field of BCI technologies. The goal of this course is to provide an introduction to the state-of-the-art brain computer interface technologies, current approaches, limitations, potentials and various types of applications.
BMES 722Neural Aspects of Posture and Locomotion I3.0
Studies physiology of sensory/motor systems, with emphasis on modeling of neural systems and biomechanical aspects of functional tasks. Begins with an analysis of the transportation of materials in and out of cells, followed by an examination of the origin and maintenance of membrane potentials. Discusses intra-and extracellular and surface measurement of potentials, generation and transmission of action potentials, synaptic processes, and the structure/function of muscle. Combines these elements to study reflex systems as well as vestibular and ocular effects on posture. Culminates in the study of the control of motor systems with respect to bipedal locomotion.
Explores the mathematical and biological bases for neurocomputing. Involves construction by students of computer simulations of important models and learning algorithms. Discusses applications to pattern recognition, vision, speech, control, and psychological modeling.
Provides a broad overview of the applications of health care technology in diagnosis and therapy. Reflects the persuasiveness of biomedical engineering in medicine by describing medical instrumentation and engineering technology used in most of the main areas of specialization in medicine.
The objective of this course is to prepare the student for following an industry-accepted standard for designing a medical device. Students will work in teams to identify and design a response to medical need. The resulting design will either address an unmet medical need or present an improved approach to an existing solution. After identifying a particular project, the students will learn and implement particular processes for both design and documentation.
Provides an analysis of the administrative process, including planning, organization, design, decision-making, leadership, and control. Presents methodologies and techniques that can contribute to the effective performance of administrative responsibilities examined in the light of significant and unique factors in hospital health care administration.
Requires the study and investigation of a research or development problem. Requires results to be reported in a thesis under the direction of a faculty adviser. No credit granted until the thesis is completed and approved.
Requires the study and investigation of a research or development problem. Requires results to be reported in a dissertation under the direction of a faculty adviser. No credit granted until the dissertation is completed and approved.
