Program Director: Professor Ki Chon
Department Office: 217 Bronwell Building
Introduction to research in computational biology through lectures, computer lab exercises, and mentored research projects. Topics include gene and genome structure, gene regulation, mechanisms of inheritance, biological databases, sequence alignment, motif finding, human genetics, forensic genetics, stem cell development, comparative genomics, early evolution, and modeling complex systems. CA 3.
(Formerly offered as BME 3101.) Three credits. Prerequisite or corequisite: MATH 1132Q and PHYS 1230 or 1501Q or 1530Q; open only to non-Biomedical Engineering majors with instructor consent. Recommended preparation: BIOL 1107.
Fundamental concepts and techniques of engineering and medical science and their integration. The art and science of medicine, and the process of medical diagnosis and treatment. Topics include: diagnostic instrumentation, diagnostic measurements and their interplay; bioelectric phenomena, biomechanics, and biomaterials; biochemical engineering; computers in medicine; molecular medicine and biotechnology; medical imaging.
Techniques for analysis and modeling of biomedical systems. Application of advanced mathematics (including Differential Equations, Laplace Transforms and Statistics) and computer-aided methods to study problems at the interface of engineering and biology. Elements of physiological modeling and the solution of the transient and forced response for a variety of biomechanical, biomaterial, bioelectrical and biochemical systems.
One credit. One hour lecture period. Prerequisite: CSE 1010 or 1100; open only to Biomedical Engineering majors, others by instructor consent. Not open for credit to students who have passed ENGR 3120.
Introduces LabVIEW programming environment. The fundamentals of using graphical programming to collect, analyze, display and store data are covered. Learn techniques for designing stand-alone applications, creating interactive user interfaces and optimizing data flow.
One credit. One 3-hour laboratory period. Prerequisite: BME 3120; open only to Biomedical Engineering majors, others by instructor consent.
Introduces structured practices to design, test, and use LabVIEW applications. Recommended development techniques for hierarchical VI development, event-based architectures, user-interface design, error handling and documentation are covered. Learn to extend application functionality and reduce development time by using connectivity technologies such as DLLs, ActiveX, and the Internet.
Fundamentals of statics and dynamics using vector methods on physiological systems. Resolution and composition of forces; equilibrium of force systems; rectilinear and curvilinear motion, translation, rotation, plane motion, work, energy and power.
Introduction to chemical reaction kinetics; enzyme and fermentation technology; microbiology, biochemistry, and cellular concepts; biomass production; organ analysis; viral dynamics.
Enzyme and fermentation technology; microbiology, biochemistry, and cellular concepts; biomass production; equipment design, operation, and specification; design of biological reactors; separation processes for bio-products.
A lecture and laboratory that covers Fourier analysis, LaPlace analysis and Z-transforms. Techniques for generating quantitative mathematical models of physiological control systems; the behavior of physiological control systems using both time and frequency domain methods.
Introduction to the role of computational and mathematical analyses in biological sequence (DNA, RNA, proteins) analysis and quantitative mathematical models of cell biological processes (systems and quantitative biology). Algorithms for sequence alignment; analysis of networks involved in transcription, development, and signal transduction. Programming in the Python language will be an integral part of the course, but no prior experience with Python is necessary.
A lecture and laboratory course that covers fundamentals of biomedical measurement and patient safety. Measurements of physical quantities by means of electronic instruments, mechanical devices and biochemical processes. Analysis of measurement systems using mathematical models. Methods of measuring signals in the presence of noise. Use of computers in measurement systems.
Application of solid mechanics theory to describe and analyze mechanical behaviors of biological tissues. Basic concepts in mechanics of materials, including the essential mathematics, kinematics of deformation and motion, stress, constitutive relations. Biomechanics principles; identifying, formulating and solving problems related to bone, cartilage, tendon, cardiac and vascular tissues. Introduction of experimental methods and computational modeling of biological tissues. A separate laboratory component will introduce students to experimental methods in more detail. Laboratory reports with revisions are required.
A lecture and laboratory course that introduces a series of implant materials including metals, ceramics, glass ceramics, polymers, and composites. These materials are compared with the natural materials, with consideration given to issues of mechanical properties, biocompatibility, degradation of materials by biological systems, and biological response to artificial materials. Particular attention is given to the materials for the total hip prosthesis, dental restoration, and implantable medical devices.
Computational methods for genomic data analysis. Topics covered include statistical modeling of biological sequences, probabilistic models of DNA and protein evolution, expectation maximization and Gibbs sampling algorithms, genomic sequence variation, and applications in genomics and genetic epidemiology.
Students work through a structured process that emulates an open-ended, real-world design of a biomedical engineering product. Project definition and product specifications, project scheduling and management, team interactions, failure and safety criteria, progress reporting, marketing concepts, ethical issues, prototype development, proper documentation and technical presentation of the final project outcomes. Includes a significant writing component, makes use of computers and design software, and involves hands-on design explorations. Students will complete a semester-long design project that demonstrates the skills and knowledge learned during the course in preparation for the capstone design experience.
Introduction to spatial signals including spatial impulse response, spatial sampling and filtering, spatial Fourier transforms, and back projection. Principles, systems and clinical applications of X-ray, X-ray CT, ultrasound, Positron Emission Tomography (PET) and Single Photon Emission Tomography (SPECT), and MRI imaging.
Analysis of human physiological control systems and regulators through the use of mathematical models. Identification and linearization of system components. Systems interactions, stability, noise, and the relation of system malfunction to disease. The analysis and design of feedback systems to control physiological states through the automatic administration of drugs.
Three credits. Prerequisites: ECE 3101; open only to Biomedical Engineering majors, others by instructor con-sent. Not open for credit to students who have passed BME 4985 when taught as Dynamical Modeling of Biological Networks.
Construction and analysis of biochemical pathway models. Mass action kinetics and the S-matrix formalism, nonlinear differential equations, bistability, bifurcations, linear stability analysis, and nonlinear oscillations. Possible applications include kinetic proofreading, classical enzyme kinetics, biological switches, and dynamical behavior of simple biochemical circuits.
Three credits. Open only to Biomedical Engineering majors, others by instructor consent.
Introduction to computational systems biology, which focuses on studying the dynamic and intelligent features (e.g., adaptation and robustness) of biological systems. Through a variety of assignments and projects using MATLAB, LabVIEW and C#, students will obtain a deeper understanding of physical and engineering principles and methods (e.g., computational physics, digital signal processing, control engineering, and digital logic) applied to biological systems.
Three credits. Prerequisite: BME 3500; open only to Biomedical Engineering majors, others by instructor consent.
Modeling, analysis, design, and operation of transducers, sensors, and electrodes, for physiological systems; operational and instrumentation amplifiers for bioelectric event signal conditioning, interfacing and processing; A/D converters and hardware and software principles as related to sampling, storing, processing, and display of biosignals and digital computers.
Three credits. Prerequisite: BME 3600W; open only to Biomedical Engineering majors, others by instructor consent.
Mechanical behavior of biological solids. Applications of the theories of elasticity, viscoelasticity, and poroelasticity to bones, ligaments and tendons, skeletal muscle, and articular cartilage. Axial, bending, shearing and torsional loadings. Bone morphology and growth. Biphasic theory. Failure theories. Topics may be modified slightly to accommodate student interests.
Offers opportunity to gain in-depth knowledge of a series of biomaterials for various applications. Topics include calcium phosphates and composites for hard tissue replacement, drug delivery systems, issues unique to the biomedical field, and regulations for new products and standards.
Three credits. Prerequisite: BME 3700; open only to Biomedical Engineering majors, others by instructor consent.
Presents basic principles of biological, medical, and material science as applied to implantable medical devices, drug delivery systems and artificial organs.
(Also offered as CSE 3800.) Three credits. Prerequisite: BIOL 1107; CSE 1010 or 1100 or 1729; and either STAT 3025Q or STAT 3345Q; open only to Biomedical Engineering majors, others by instructor consent.
Fundamental mathematical models and computational techniques in bioinformatics. Exact and approximate string matching, suffix trees, pairwise and multiple sequence alignment, Markov chains and hidden Markov models. Applications to sequence analysis, gene finding, database search, phylogenetic tree reconstruction.
Discussion of the design process; project statement, specifications project planning, scheduling and division of responsibility, ethics in engineering design, safety, environmental considerations, economic constraints, liability, manufacturing, and marketing. Projects are carried out using a team-based approach. Selection and analysis of a design project to be undertaken in BME 4910 is carried out. Written progress reports, a proposal, an interim project report, a final report, and oral presentations are required.
Three credits. Prerequisite: BME 4900; open only to Biomedical Engineering majors.
Design of a device, circuit system, process, or algorithm. Team solution to an engineering design problem as formulated in BME 4900, from first concepts through evaluation and documentation. Written progress reports, a final report, and oral presentation are required.
Credits and hours by arrangement or as announced. Prerequisite and/or consent: Announced separately for each course; open only to Biomedical Engineering majors. With a change in topic, this course may be repeated for credit.
Classroom and/or laboratory courses in special topics as announced for each semester.
Credits and hours by arrangement or as announced. Prerequisite: Consent of instructor; open only to Biomedical Engineering majors. With a change in content, this course may be repeated for credit.
Independent study project carried on by the student under the guidance of a faculty member. The student is required to submit a report on the study at the end of the semester.