Course Descriptions
Undergraduate
Introduces the student to the scope of the biomedical engineering profession and its role in society, and develops a sense of professionalism in the student. Provides an overview of biomedical engineering through lectures, presentations by outside speakers, hands-on exercises, and scientific literature analyses. Develops
professional communication and teamwork skills.
(3-0-3) (C)
Prerequisite: None
Corequisite: None
This course will provide students an opportunity to learn how to use the MATLAB programming environment to solve biomedical engineering problems. Students will learn basic MATLAB functions for importing, analyzing, visualizing, and exporting data, as well as computational techniques for modeling and solving
quantitative engineering problems. Examples will be taken from the three areas of specialization offered in the biomedical engineering department -- cell and tissue engineering, neural engineering, and medical imaging.
(0-3-1)
Prerequisite: [(ECE 211* with min. grade of D) OR (ECE 215* with min. grade of D)]
AND
[(CS 115 with min. grade of D)]
AND
[(BME 100* with min. grade of D)]
An asterisk (*) designates a course which may be taken concurrently. Corequisite: None
An asterisk (*) designates a course which may be taken concurrently. Corequisite: None
Basic properties of fluids in motion. Lagrangian and Eulerian viewpoints, material derivative, streamlines. Continuity, energy, angular and linear momentum equations in integral and differential forms. Applications in biofluids and biomedical devices; rheology of biological fluids.
(3-0-3)
Prerequisite: [(BIOL 115 with min. grade of D, MATH 251 with min. grade of D, and MMAE 200 with min. grade of D)]
Corequisite: None
An introduction to concepts of imaging and sensing that underlie a wide range of biomedical imaging modalities. Topics covered include cell imaging, multiphoton microscopy for biomedical studies, molecular imaging, infrared imaging, biomedical magnetic imaging, X-ray imaging, nuclear medicine, magnetic resonance imaging, and
ultrasound imaging.
(3-0-3)
Prerequisite: [(BME 330* with min. grade of D and PHYS 221 with min. grade of D)]
An asterisk (*) designates a course which may be taken concurrently. Corequisite: None
An asterisk (*) designates a course which may be taken concurrently. Corequisite: None
Applications of biomaterials in different tissue and organ systems. Relationship between physical and chemical structure of materials and biological system response. Choosing, fabricating, and modifying materials for specific biomedical applications.
(3-0-3) (C)
Prerequisite: [(BME 100 with min. grade of D and CHEM 125 with min. grade of D)]
Corequisite: None
Laboratory exercises stress instrumentation usage and data analysis used to determine physiological functions and variables and the relations to the physiological variability.
(1-3-2) (C)
Prerequisite: [(BME 200 with min. grade of D
and BME 330* with min. grade of D)]
An asterisk (*) designates a course which may be taken concurrently. Corequisite: None
An asterisk (*) designates a course which may be taken concurrently. Corequisite: None
Laboratory experiments in thermodynamics, biological fluid flow, and heat transfer. Emphasis is placed on current methods, instrumentation, and equipment used in biomedical engineering; oral presentation of results; and on the writing of comprehensive reports. Open only to Biomedical Engineering majors.
(0-3-1)
(C)
Prerequisite: [(BIOL 115 with min. grade of D and BME 315 with min. grade of D)]
Corequisite: None
This course is a junior level introduction to the theoretical and practical aspects of signal processing and dynamic systems behavior as they relate to physiological, biological, and biomedical systems. The topics covered will include sampling theory, continuous and discrete Fourier transforms and series, Laplace transforms,
Linear systems theory, signal filtering, models of biological and physiological systems, and analysis of dynamic and feedback systems.
(3-0-3)
Prerequisite: [(BME 200 with min. grade of D, ENVE 426* with min. grade of D, and MATH 252 with min. grade of D)]
An asterisk (*) designates a course which may be taken concurrently. Corequisite: None
An asterisk (*) designates a course which may be taken concurrently. Corequisite: None
The course expands upon the systems and signal processing concepts introduced in BME 330 to develop the tools to model physiological processes and the feedback control of these processes.
(3-0-3)
Prerequisite: [(BME 330) OR (ECE
308)]
Corequisite: None
Principles of thermodynamics and conservation of mass applied to living systems and biomedical devices. The first and second laws of thermodynamics, pHs and chemical equilibrium, metabolic stoichiometry and energetics.
(3-0-3)
Prerequisite:
[(BME 320* with min. grade of D, CHE 202 with min. grade of D, and MATH 251 with min. grade of D)]
An asterisk (*) designates a course which may be taken concurrently. Corequisite: None
An asterisk (*) designates a course which may be taken concurrently. Corequisite: None
A laboratory course which demonstrates basic concepts of bioengineering design through experimental procedures involving humans and experimental animals. Statistical principles of experimental design. Study of possible errors. Experiments include nerve action, electrocardiography, mechanics of muscle, membranes, and noninvasive diagnostics
in humans. Open only to Biomedical Engineering majors.
(1-3-2) (C)
Prerequisite: [(BME 315 with min. grade of D)]
Corequisite: None
Convective and diffusive movement and reaction of molecules in biological systems. Kinetics of homogeneous and heterogeneous reactions in biological environments. Mechanisms and models of transport across membranes. Convective diffusion with and without chemical reaction.
(3-0-3)
Prerequisite: [(BME 301 with min. grade of D and MATH 252 with min. grade of D)]
Corequisite: None
Introduction to the fundamentals and principles of neural engineering. Emphasis is placed on pathological conditions that motivate the engineering design and clinical use of neural prosthetic devices. Pacemakers, FES stimulators, as well as CNS devices are examined, including extracorporeal and implantable systems.
(3-0-3) (C)
Prerequisite: [(BME 315 with min. grade of D)]
AND
[(ECE 211 with min. grade of D) OR (ECE 215 with min. grade of D)]
Corequisite: None
This course focuses on analysis of rate data and single and multiple reaction schemes. Biomedical topics include biological systems, enzymatic pathways, enzyme and receptor-ligand kinetics, pharmacokinetics, heterogeneous reactions, microbial cell growth and product formation, and the design and analysis of biological reactors.
(3-0-3)
Prerequisite: [(BME 301 with min. grade of D, BME 335 with min. grade of D, and MATH 252 with min. grade of D)]
Corequisite: (BME 482)
Introduction to Design Concepts in Biomedical Engineering. This course aims to educate students on project definition, and on the design, development and technology transfer of potential biomedical products in the context of the student's major capstone project. Students will learn best practices for
designing a marketable medical device, including the design process from the clinical problem definition through prototype and clinical testing to market readiness.
(2-0-2) (C)
Prerequisite: [(BME 315 with min. grade of D, BME 320 with min. grade of D, and BME 330 with min. grade of D)]
Corequisite: None
An introduction to the strategies and fundamental bioengineering design criteria behind the development of biomedical engineering systems and implantable devices that use either synthetic materials or hybrid (biological-synthetic)systems. Analysis and design of replacements for the heart, kidneys, and lungs.
Specification and realization of structures for artificial organ systems. Students will be required to complete a team-oriented design project in their chosen track.
(3-0-3) (C)
Prerequisite: [(BME 419 with min. grade of D)]
Corequisite: None
This course integrates mathematical and computational tools that address directly the needs of biomedical engineers. The topics covered include the mathematics of diffusion, pharmacokinetic models, biological fluid mechanics, and biosignal representations and analysis. The use of MATLAB will be emphasized for
numerically solving problems of practical relevance.
(3-0-3)
Prerequisite: [(BME 330 with min. grade of D and MATH 252 with min. grade of D)]
Corequisite: None
This course will provide students an opportunity to learn about mechanical forces that develop in the human body and how they can influence cell functions in a range of biological processes from embryogenesis, wound healing, and regenerative medicine to pathological conditions such as cancer invasion.
Examples of research methods for investigating cell biomechanics in various biological systems will be discussed.
(3-0-3)
Prerequisite: [(BME 301 with min. grade of D)]
Corequisite: None
This course is designed to cover fundamentals of cell and tissue engineering from a quantitative perspective. Topics addressed include elements of tissue development, cell growth and differentiation, cell adhesion, migration, molecular and cellular transport in tissues and polymeric hydrogels for tissue
engineering and drug delivery applications.
(3-0-3)
Prerequisite: [(BME 418 and BME 482)]
Corequisite: None
An introduction to the strategies and fundamental bioengineering design criteria behind the development of cell-based tissue substitutes. Topics include biocompatibility, biological grafts, gene therapy-transfer, and bioreactors.
(3-0-3) (C)
Prerequisite:
[(BME 310 with min. grade of D)]
Corequisite: None
This course is an introduction to the basic concepts in medical imaging, such as: receiver operating characteristics, the rose model, point spread and transfer functions, covariance and autocovariance, noise filters, sampling, aliasing, interpolation, and image registration.
(3-0-3) (C)
Prerequisite: [(BME 315 with min. grade of D)]
AND
[(PHYS 221 with min. grade of D) OR (PHYS 224 with min. grade of D)]
Corequisite: None
Application of modern computing methods to the statistical analysis of biomedical data. Sampling, estimation, analysis of variance, and the principles of experimental design and clinical trials are emphasized.
(3-0-3)
Prerequisite:
[(MATH 251 with min. grade of D and MATH 252 with min. grade of D)]
Corequisite: None
This course describes the use of different imaging modalities to study brain function and connectivity. The first part of the course deals with brain function. It includes an introduction to energy metabolism in the brain, cerebral blood flow, and brain activation. It continues with an introduction to magnetic resonance imaging (MRI),
perfusion-based fMRI, BOLD fMRI, fMRI paradigm design and statistical analysis, introduction to positron emission tomography (PET) and studying brain function with PET, introduction to magneto encephalography and studying brain function with (MEG). The second part of the course deals with brain connectivity. It includes an introduction to diffusion tensor MRI, explanation to the relationship between the diffusion properties of tissue and its structural characteristics, white matter fiber
tractography.
(3-0-3)
Prerequisite: [(BME 315 with min. grade of D and PHYS 221 with min. grade of D)]
Corequisite: None
This course introduces advanced clinical imaging modalities, research imaging techniques, and concepts from image science and image perception. The first part of the course introduces the perception of image data by human observers and the visualization of brain structure and function. It includes an introduction to magnetic resonance
imaging (MRI) and a survey of neurological imaging via functional MRI (fMRI). The second part of the course covers image science, clinical imaging applications, and novel research imaging techniques. It includes an introduction to radiation detection and image quality evaluation, a survey of clinical cases, and an overview of new imaging methods.
(3-0-3)
Prerequisite: [(BME 309)]
Corequisite: None
Examination of the fundamental principles and theory behind the interface between recording and stimulating electrodes and biological tissue. Equivalent circuit models for recording and stimulating electrodes are presented. Safety issues, and electrochemical stability of stimulating electrodes are detailed.
(3-0-3)
Prerequisite: [(BME 315 with min. grade of D and ECE 215 with min. grade of D)]
Corequisite: None
Principles of circuit analysis are applied to typical transducer and signal recording situations found in biomedical engineering.
(3-0-3)
Prerequisite: [(BME 315 with min. grade of D)]
Corequisite: None
Computational approach to basic neural modeling and function, including cable theory, ion channels, presynaptic potentials, stimulation thresholds, and nerve blocking techniques. Synaptic function is examined at the fundamental level.
(3-0-3)
Prerequisite:
[(BME 315 with min. grade of D)]
Corequisite: None
Respiration; circulation; energy metabolism; temperature regulation; water and osmotic regulation; digestion and excretion; muscle and movement; nerve excitation; information control and integration; chemical messengers. Emphasis on general principles with examples drawn from various animal phyla. Same as BIOL 430.
(3-0-3)
Prerequisite: [(BIOL 107 with min. grade of D) OR (BIOL 115 with min. grade of D)]
Corequisite: None
Control systems design and analysis in biomedical engineering. Time and frequency domain analysis, impulse vs. step response, open vs. closed loop response, stability, adaptive control, system modeling. Emphasis is on understanding physiological control systems and the engineering of external control of biological
systems.
(3-0-3)
Prerequisite: [(BME 330 with min. grade of D)]
Corequisite: None
The primary objective of this course is to introduce students to basic physiological concepts using a quantitative approach. The main systems that control the human body functions will be reviewed to enable the students to understand the individual role of each major functional system as well as the need for the integration or
coordination of the activities of the various systems. Attempts will be made to highlight the patho-physiological consequences of defects or failures in the organ systems, and the relevant corrective approaches. This course will include lectures from individuals who have relevant expertise in the different organ systems because of the complexity of the human body.
(3-0-3)
Prerequisite: [(BME 100 with min. grade
of D)]
Corequisite: (BME 405)
Anatomy of the cardiovascular system. Scaling principles. Lumped parameter, one-dimensional linear and nonlinear wave propagation, and three-dimensional modeling techniques applied to simulate blood flow in the cardiovascular system. Steady and pulsatile flow in rigid and elastic tubes. Form and function of blood, blood
vessels, and the heart from an engineering perspective. Sensing, feedback, and control of the circulation. Possible project using custom software to run blood flow simulations. Same as MMAE 455.
(3-0-3)
Prerequisite: [(BME 301 with min. grade of D) OR (MMAE 310 with min. grade of D) OR (MMAE 313 with min. grade of D)]
Corequisite: None
Continuation of biomaterials applications to tissue and organs. Novel applications of materials to replace living tissues and organs, such as skin, blood vessels, and heart valves will be considered.
(3-0-3)
Prerequisite: [(BME 310 with min. grade of
D)]
Corequisite: None
Engineering Biocompatible Materials aims to describe synthetic materials that are routinely used as components of various medical devices implanted in the human body. Students will critically examine prosthetic materials used in specific devices. The biological environment relevant to the discussed implant will be reviewed.
Problems with current materials will be analyzed. Strategies and techniques required to engineer sophisticated biomaterials for future applications will be developed.
(3-0-3) (C)
Prerequisite: [(BIOL 115 with min. grade of D and BIOL 117 with min. grade of D)]
Corequisite: None
Concepts from mechanics and neurophysiology will be introduced and employed to analyze and model human movement, especially of the extremities. Topics will include forward and inverse kinematics and dynamics, muscle modeling, and feedback control.
(3-0-3)
Prerequisite: [(BME 330 with min. grade of D) OR (ECE 308 with min. grade of D) OR (MMAE 305 with min. grade of D)]
Corequisite: None
This course seeks to provide students with an introduction to advanced concepts of mass transport with an emphasis on biological systems. Students will be exposed to derivation of the conservation equations for heat, mass, and momentum. Following derivation of these laws, focus will be placed on mass transport
applications, including diffusion, convection-diffusion, diffusion with reactions, and facilitated diffusion. Students will be able to apply mass transport equations to solve problems in biological systems.
(3-0-3)
Prerequisite: [(BME 301 with min. grade of D and CHE 202 with min. grade of D)]
Corequisite: None
Professional issues in bioengineering. Role of bioengineers in industry. Professional identity. Structure of bioengineering industries and product development process. Job market analysis. Current employment opportunities. Recruiting process and interview. Analysis of employer. Marketing versus engineering. Management by objective. Role of higher
degrees.
(1-0-1) (C)
Prerequisite: None
Corequisite: None
Focused reading and study under the supervision of a BME faculty member. A final written report is required to receive credit. **Instructor permission required.**
(Credit: Variable) (C)
Prerequisite: None
Corequisite:
None
Independent research (experimental or theoretical/computational) under the supervision of a BME faculty member. A final written report is required to receive credit. **Instructor permission required.**
(Credit: Variable) (C)
Prerequisite:
None
Corequisite: None
Research or design projecting involving 2 or more students under supervision of a BME faculty member. A final written report from each student is required to receive credit. **Instructor permission required.**
(3-0-3)
Prerequisite: None
Corequisite: None
Design, development, analysis or research on special topics defined by a faculty member or the department. **Instructor permission required.**
(0-0-3)
Prerequisite: None
Corequisite:
None
Graduate
Introduction to the concepts and research in biomedical engineering. Provides an overview of current biomedical engineering research areas, emphasis on application of an engineering approach to medicine and physiology signals.
(3-0-3)
Prerequisite:
None
Corequisite: None
Bioelectric phenomena, transducers, amplifiers. Processing of ECG, EMG, EEG
(3-0-3)
Prerequisite: None
Corequisite: None
This quarter introduces mathematical ideas and techniques in a neuroscience context. Topics will include some coverage of matrices and complex variables; eigen value problems, spectral methods and Greens functions for differential equations; and some discussion of both deterministic and probabilistic
modeling in the neurosciences. Instructor permission required.
(2-0-2)
Prerequisite: None
Corequisite: None
This course is concerned with the structure and function of systems of neurons, and how these are related to behavior. Common patterns of organization are described from the anatomical, physiological, and behavioral perspectives of analysis. The comparative approach is emphasized throughout. Laboratories include exposure to instrumentation and
electronics, and involve work with live animals. A central goal of the laboratory is to expose students to in vivo extracellular electrophysiology in vertebrate preparations. Laboratories will be attended only on one day a week but may run well beyond the canonical period. Instructor permission required.
(2-0-2)
Prerequisite: None
Corequisite:
None
This quarter treats statistical methods important in understanding nervous system function. It includes basic concepts of mathematical probability; information theory, discrete Markov processes, and time series. Instructor permission required.
(2-0-2)
Prerequisite: [(BME 503)]
Corequisite: None
This course considers computational approaches to vision. It discusses the basic anatomy and physiology of the retina and central visual pathways, and then examines computational approaches to vision based on linear and non-linear systems theory, and algorithms derived from computer vision.
(3-0-3)
Prerequisite: None
Corequisite: None
This course is concerned with the relationship of the nervous system to higher order behaviors such as perception and encoding, action, attention and learning and memory. Modern methods of imaging neural activity are introduced, and information theoretic methods for studying neural coding in individual neurons and populations of neurons
are discussed. Instructor permission required.
(2-0-2)
Prerequisite: None
Corequisite: None
This course covers more advanced topics including perturbation and bifurcation methods for the study of dynamical systems, symmetry methods, and some group theory. A variety of applications to neuroscience with be described. Instructor permission required.
(2-0-2)
Prerequisite: [(BME 503 and BME 505)]
Corequisite: None
This lab-centered course teaches students the fundamental principles of mammation neuroanatomy. Students learn the major structures and the basic circuitry of the CNS and PNS. Students become practiced at recognizing the nuclear organization and cellular architecture of many regions in animal brain models. This course is taught at the
University of Chicago. Instructor permission required.
(3-0-3)
Prerequisite: None
Corequisite: None
This seminar course is devoted to basic clinical and pathological features and pathogenic mechanisms of neurological diseases. The first semester is devoted to a broad set of disorders ranging from developmental to acquired disorders of the central and peripheral nervous system. Weekly seminars are given by experts in the clinical
and scientific aspects of the disease under discussion. For each lecture, students are given a brief description of clinical and pathological features of a given set of neurological diseases followed by a more detailed description of the current status of knowledge of several of the prototypic pathogenic mechanisms.
(2-0-2)
Prerequisite: None
Corequisite:
None
Advanced topics dealing with the biology and chemistry of the extracellular matrix, cell-matrix interactions, and current methodologies for engineering these interfaces.
(2-0-2)
Prerequisite: None
Corequisite: None
This course is concerned with the structure and function of systems of neurons and how these are related to behavior. Common patterns of organization are described from the anatomical, physiological, and behavioral perspectives of analysis. The comparative approach is emphasized throughout. Laboratories include exposure to
instrumentation and electronics and work involvement with live animals.
(2-0-2)
Prerequisite: None
Corequisite: None
Topics include, but are not limited to, Hodgkin-Huxley equations, cable theory, single neuron models, information theory, signal detection theory, reverse correlation, relating neural responses to behavior, and rate versus temporal codes. Instructor permission is required.
(3-0-3)
Prerequisite: None
Corequisite: None
This course is an introduction to the fundamentals of chemical kinetics. Analysis of rate data; single and multiple reaction schemes. Biomedical topics include biological systems, enzymatic pathways, enzyme and receptor-ligand kinetics, pharmacokinetics, heterogeneous reactions, microbial cell growth and product
formation, and the design and analysis of biological reactors.
(3-0-3)
Prerequisite: [(BME 301, BME 335, and MATH 252)]
Corequisite: (BME 482)
Anatomy of the cardiovascular system. Scaling principles. Lumped parameter, one-dimensional linear and nonlinear wave propagation, and three-dimensional modeling techniques applied to simulate blood flow in the cardiovascular system. Steady and pulsatile flow in rigid and elastic tubes. Form and function of blood, blood
vessels, and the heart from an engineering perspective. Sensing, feedback, and control of the circulation. Includes a student project.
(3-0-3)
Prerequisite: None
Corequisite: None
Study of modern technology for medical imaging. Theory and operation of CAT, SPECT, PET, MRI, X-ray and echo imaging modalities.
(3-0-3)
Prerequisite: None
Corequisite: None
Graduate standing in BME or consent of instructor This course is an introductory graduate level course that integrates mathematical and computational tools that address directly the needs of biomedical engineers. The topics covered include the mathematics of diffusion, pharmacokinetic models, biological fluid
mechanics, and biosignal representations and analysis. The use of MATLAB will be emphasized for numerically solving problems of practical relevance.
(3-0-3)
Prerequisite: None
Corequisite: None
This course will provide students an opportunity to learn about mechanical forces that develop in the human body and how they can influence cell functions in a range of biological processes from embryogenesis, wound healing, and regenerative medicine to pathological conditions such as cancer invasion.
Examples of research methods for investigating cell biomechanics in various biological systems will be discussed. Permission of instructor is required.
(3-0-3)
Prerequisite: None
Corequisite: None
This course is designed to cover fundamentals of cell and tissue engineering from a quantitative perspective. Topics addressed include elements of tissue development, cell growth and differentiation, cell adhesion, migration, molecular and cellular transport in tissues and polymeric hydrogels for tissue
engineering and drug delivery applications.
(3-0-3)
Prerequisite: None
Corequisite: None
This course seeks to provide students with an introduction to the field of Tissue Engineering. The first portion of the course will introduce the field, including a discussion of cell sourcing, biomaterials, DA, and ethical considerations. The second portion of the course will present case studies in specific tissue and organ
systems in which these concepts are put together in an attempt to develop a clinically applicable tissue engineered product.
(3-0-3)
Prerequisite: None
Corequisite: None
This course will introduce graduate students to the mathematical theory of inverse problems. Concept from functional analysis will be applied for understanding and characterizing mathematical properties of inverse problems. This will permit for the analysis of the stability and resolution of image reconstruction algorithms
for various existing and novel biomedical imaging systems. The singular value decomposition (SVD) is introduced and applied for understanding fundamental properties of imaging systems and reconstruction algorithms. Instructor permission required.
(3-0-3)
Prerequisite: None
Corequisite: None
This course is an introduction to basic concepts in medical imaging, such as: receiver operating characteristics, the rose model, point spread function and transfer function, covariance and auto covariance, noise, filters, sampling, aliasing, interpolation, and image registration. Instructor permission required.
(3-0-3)
Prerequisite: None
Corequisite: None
This course is designed to cover the tools and techniques of modern statistics with specific applications to biomedical and clinical research. Both parametric and nonparametric analysis will be presented. Descriptive statistics will be discussed although emphasis is on inferential statistics and experimental design.
(3-0-3)
Prerequisite: None
Corequisite: None
This is an introduction to the Physics and technology of magnetic resonance imaging (MRI). the topics that are covered include: basic MR physics, source of signal, signal acquisition, pulse sequences, hardware, artifacts, spectroscopy, and advanced imaging techniques. Instructor permission required.
(3-0-3)
Prerequisite: None
Corequisite: None
This course describes the use of different imaging modalities to study brain function and connectivity. The first part of the course deals with brain function. It includes an introduction to energy metabolism in the brain, cerebral blood flow, and brain activation. It continues with an introduction to magnetic resonance imaging (MRI),
perfusion-based fMRI, Bold fMRI, fMRI paradigm design and statistical analysis, introduction to positron emission tomography, (PET) and studying brain function with PET, introduction to magneto encephalography (MEG) and studying brain function with MEG. The second part of the deals with brain connectivity. It includes an introduction to diffusion tensor MRI, explanation of the relationship between the diffusion properties of tissue its structural characteristics, and white matter fiber
tractography techniques. Instructor permission required.
(3-0-3)
Prerequisite: None
Corequisite: None
This course introduces advanced clinical imaging modalities, research imaging techniques, and concepts from image science and image perception. The first part of the course introduces the perception of image data by human observers and the visualization of brain structure and function. It includes an introduction to magnetic resonance
imaging (MRI) and a survey of neurological imaging via functional MRI (fMRI). The second part of the course covers image science, clinical imaging applications, and novel research imaging techniques. It includes an introduction to radiation detection and image quality evaluation, a survey of clinical cases, and an overview of new imaging methods.
(3-0-3)
Prerequisite: None
Corequisite: None
This course will introduce students to fundamental concepts in wave physics and the analysis of optical wave fields. These principles will be utilized for understanding existing and novel imaging methods that employ coherent radiation. Solutions to inverse scattering and inverse source problems will be
derived and algorithmic realizations of the solutions will be developed. Phase contrast imaging techniques and X-ray imaging systems that employ coherent radiation will be studied. Instructor permission required.
(3-0-3)
Prerequisite: None
Corequisite: None
This graduate level course introduces students to fundamental concepts in image science that are related to the optimization and evaluation of biomedical imaging systems. Topics covered include: deterministic descriptions of imaging systems, stochastic descriptions of imaging systems, statistical decision theory, and objective
assessment of image quality.
(3-0-3)
Prerequisite: [(BME 530 and BME 532)]
Corequisite: None
Principles of circuit analysis are applied to typical transducer and signal recording situations found in biomedical engineering. Basic electrical and electronic circuit theory is reviewed with an emphasis on biomedical measurement applications. a special topic is individually studied by the student and presented to the class
electrical physics class or basic circuits.
(3-0-3)
Prerequisite: None
Corequisite: None
This is the first of a 2 part course co-taught at IIT and the University of Chicago. essential elements of signal processing and control theory as it is applied to physiological systems will be covered. Part I will cover data acquisition and sampling, Laplace and Fourier transforms, filtering, time and
frequency domains, system descriptions and lumped vs. distributed parameters. Students will use Mat lab to test concepts presented in class.
(2-0-2)
Prerequisite: None
Corequisite: None
Control systems design and analysis in biomedical engineering. Time and frequency domain analysis, impulse vs. step response, open vs. closed loop response, stability, adaptive control, system modeling. Emphasis is on understanding physiological control systems and the engineering of external control of biological
systems.
(3-0-3)
Prerequisite: None
Corequisite: None
The primary objective of this course is to introduce students to basic physiological concepts using a quantitative approach. The main systems that control the human body functions will be reviewed to enable the students to understand the individual role of each major functional system as well as the need for the integration or
coordination of the activities of the various systems. Attempts will be made to highlight the patho-physiological consequences of defects or failures in the organ systems and the relevant corrective approaches. This course will include lectures from individuals who have relevant expertise in the different organ systems because of the complexity of the human body.
(3-0-3)
Prerequisite: [(BIOL 430)]
Corequisite: None
The primary objective of this course is to introduce students to synthetic materials that are routinely used as components of various medical devices implanted in the human body. In this course, students will critically examine prosthetic materials used in specific devices (for example: muscle, eye, skin, vascular). The
biological environment relevant to the discussed implant will be reviewed. Problems with current materials will be analyzed and strategies and techniques required to engineer sophisticated biomaterials for future applications will be developed. Legal procedures required to obtain FDA approval for such materials will be taught. Industry personnel specializing in medical implants will deliver guest lectures. Instructor permission required.
(3-0-3)
Prerequisite: None
Corequisite: None
This course will explore how we control movement of our extremities, with concepts drawn from mechanics and neurophysiology. The progression from neurological signals to muscle activation and resulting movement of the hand or foot will be modeled, starting at the periphery and moving back toward the central nervous system.
Biomechanics of the limbs will be modeled using dynamic simulation software (Working Model) which will be driven by a neural controller, implemented in MATLAB. Issues related to sensory feedback and redundancy will be addresses.
(3-0-3)
Prerequisite: None
Corequisite: None
This course is primarily focused on the development of theoretical and experimental principles necessary for the delineation of fluid flow in various in vitro chambers and the cardiovascular system. Its content will primarily deal with the basic concepts of flow in various geometries, the heterogeneous nature of blood
and the application of such principles in flow chambers designed to expose blood elements to defined flow conditions. The relationship to flow in the normal and diseased vascular system will also be considered. A basic Fluid Dynamics Course is recommended. Instructor permission required.
(3-0-3)
Prerequisite: [(BME 500)]
Corequisite: None
This course is primarily focused on the development of theoretical and mathematical principles necessary for the delineation of mass transport processes in biological & medical systems. The content includes heterogeneous reactions that occur at or in the vicinity of cells or vascular structures under applied
laminar flow and transport across cell membranes and within tissues.
(3-0-3)
Prerequisite: None
Corequisite: None
This course will focus on the use of computational fluid dynamics for the modeling and analysis of the human cardiovascular system. The course will cover both computational methods for fluid dynamics and biomedical aspects of the human cardiovascular system. Computer models for the simulation and analysis
of hemodynamic phenomena will be developed. Requires an Introductory fluid dynamics
(3-0-3)
Prerequisite: None
Corequisite: None
Special projects.
(Credit: Variable)
Prerequisite: None
Corequisite: None
Current research and development topics in biomedical engineering as presented by outside speakers, faculty and advanced students.
(0-3-3)
Prerequisite: None
Corequisite:
None
Special problems.
(Credit: Variable)
Prerequisite: None
Corequisite: None
Research and Thesis for PhD degree. (variable credit)
(Credit: Variable)
Prerequisite: None
Corequisite: None
Last modified: May. 19, 2013
This BME course bulletin is not in final form and is subject to change without notice. Please contact the Office of the Registrar to confirm course schedules and for additional course information.