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BMD_ENG 463 Neuropathophysiology (1): A quantitative approach to the study and treatment of neurological diseases, including stroke, SCI and visual deficits. Incorporates neuropathophysiology, computer modeling and systems analysis.
EPI_BIO 302 Introduction to Biostatistics (1): This course is designed to equip students to engage in three common statistical tasks: 1) collecting data, 2) summarizing and exploring data, and 3) drawing conclusions and making decisions based on data.
ES_APPM 311-1,2 Methods of Applied Mathematics (1)(1): Ordinary differential equations: Sturm-Liouville theory, properties of special functions, solution methods including Laplace transforms. Fourier series: eigenvalue problems and expansions in orthogonal functions. Partial differential equations: classification, separation of variables, solution by series and transform methods. Prerequisites: Permission of instructor.
MECH_ENG 390 Introduction to Dynamic Systems (1): Modeling the dynamic behavior of physical systems. Concepts of causality, dependent and independent storages, and state. Introduction to bond graphs. Generation of state equations; analytical and computer simulation of system behavior. Application to problems of engineering interest.
Related Courses
BMD_ENG 343 Biomaterials and Medical Devices (1): Structure-property relationships for biomaterials. Metal, ceramic, and polymeric implant materials and their implant applications. Interactions of materials with the body, including corrosion, biomechanics, and biocompatibility.
BMD_ENG 346 Tissue Engineering (1): In vivo molecular, cellular, and organ engineering with an emphasis on the foundations, techniques, and clinical applications of tissue engineering. Prerequisites: Permission of instructor.
BMD_ENG 349 Bioregenerative Engineering (1): Fundamentals, mechanisms, and clinical significance of biological regeneration and application of engineering principles to regenerative medicine.
BMD_ENG 350 Heat and Mass Transfer (1): Introductory, basic course covering both fundamental and biomedical applications of diffusive and convective heat and mass transfer. Prerequisites: Permission of instructor.
BMD_ENG 365 Human Limbs and Their Artificial Replacements (1): Human movement in the context of biomechanics of skeletal and muscular anatomy, comparative anatomy, muscle physiology, and locomotion theories. Artificial replacement limbs as examples of multidisciplinary design concepts and engineering problems under stringent design constraints.
BMD_ENG 366 Biomechanics of Movement (1): Detailed analysis of human and animal movement. Modeling of muscle and tendon, kinematics of joints, and dynamics of multijoint movement. Applications of the theory to biomechanical problems in sports, rehabilitation, and orthopedics. Current issues in biomechanical research are reviewed. Prerequisites: Permission of instructor.
BMD_ENG 371 Mechanics of Biological Tissue (1): Descriptions of stress and strain for small and large deformations. Mechanics of membranes. Nonlinear elastic, viscoelastic, pseudoelastic, and biphasic models of biological tissue. Rheological properties of bone, cartilage, blood vessels, lung, muscle, and cells. Current research topics and critical analysis of selected journal articles.
BMD_ENG 467 Biomedical Robotics (1): A perspective on robotics technologies applied to, and inspired by, themes of biomedical research and practice.
BMD_ENG 469 Neural Control and Mechanics of Movement (1): Muscle mechanics and relevant spinal cord neurophysiology as the basis for understanding neural control of movement.
EECS 330 Introduction to Human Computer Interaction (1): Technological and psychological foundations of human-computer interaction, leading to the development of a large computer-based interactive application.
EECS 370 Computer Game Design (1): Fundamentals of computer game design. Topics include plot, narrative and character, simulation for creating game worlds, artificial intelligence for synthetic characters, tuning gameplay. Substantial programming and project work. Prerequisites: Prerequisites EECS 311 plus at least one of EECS 322, EECS 343, EECS 348 or EECS 351.
EECS 374 Introduction to Digital Control (1): Discrete dynamics systems; discrete models of continuous systems feedback and digital controllers; analog-digital conversion; digital control design including PID, lead/lag, deadbeat, and model-matching controllers. Prerequisites: EECS 360.
EECS 390 Introduction to Robotics (1): Homogeneous vectors, planes, and transformations; kinematics and dynamics of robot manipulators; Jacobian and inverse Jacobian relation; trajectory and task planning; robot programming and control systems.
EECS 435 Neural Networks (1): Learning in one-layer and multi-layer feed-forward networks, recurrent networks and dynamical systems. Hopfield networks, self-organization, reinforcement learning, radial basis functions, applications (control, brain modeling, and others). Prerequisites: Permission of instructor.
MECH_ENG 333 Introduction to Mechatronics (1): Introduction to microprocessor-controlled electromechanical systems. Interfacing sensors and actuators to computers, electrical and mechanical prototyping, dissection of commercial product. Final team project.
MECH_ENG 391 Fundamentals of Control Systems (1): Mathematical modeling of automatic control systems. Open loop and closed loop control. Laplace transform techniques and transfer functions. Stability. Root locus techniques, Bode plots, and Nyquist criterion. Approaches to control system design including PID and lead-lag compensation. Prerequisites: MECH_ENG 390 or permission of instructor.
MECH_ENG 434 Random Data and Spectral Analysis (1): Introduction to analysis of random data: stationarity, ergodicity, probability density function and related statistics, spectral density function, autocorrelation, and crossing analysis. Applying spectral analysis: fast Fourier transform, aliasing, zero-padding, and excitation-response characteristics. Nonstationary data and spectral analysis.
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