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Course Criteria
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3.00 Credits
Discussion of various biosensors, which consist of bio-recognition systems, typically enzymes or binding proteins such as antibodies, immobilized onto the surface of physicochemical transducers. Immuno-sensors, which use antibodies as their biorecognition system, are also discussed. Other bio-recognition systems discussed are nucleic acids, bacteria, and whole tissues of higher organisms. Specific interactions between the target analyte and the complementary bio-recognition layer that undergoes a physicochemical change is ultimately detected and measured by the transducer. Various transducers, which can take many forms depending upon the parameters being measured-electrochemical, optical, mass and thermal changes are also part of the course. Prerequisite: CM 1004, CM 2214, CM 2614 and CM 9413.
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3.00 Credits
Recent growth in the use of optics technology for biomedical research and health care has been explosive. New applications are made possible by emerging technologies in lasers, optoelectronic devices, fiber optics, physical and chemical sensors and imagingall of which are being applied to medical research, diagnostics, and therapy. This sequence course on optics for biomedical students combines fundamental knowledge of the generation and interaction of electromagnetic waves with applications to the biomedical field. It is hoped that this approach will not only provide tools for researchers in bio-physics, but also familiarize researchers, technologists and premed students with cutting- edge approaches. Prerequisite: an undergraduate course in physics that includes electricity, magnetism and waves such as PH 2004. Multivariable Calculus CMA 2112, MA 2122.
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3.00 Credits
Topics of special interest in Biomedical Engineering are announced in advance of each semester in which they are offered. Prerequisite: adviser's approval.
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3.00 Credits
Continuous and discrete linear systems, system function. Fourier transforms, periodic functions, Z transforms, discrete Fourier series, fast Fourier transforms. Magnitude Characteristics of LTI systems, All-pass Systems and Properties. Analog and digital filters, finite order system functions. Digital processing of analog signals. Sampling theorems. Co-listed as EL6113. Prerequisites: Graduate status.
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3.00 Credits
The axiomatic definition of experiment and probability. Conditional probability. Bayes' Theorem, Notion of independence. Repeated trials. Bernoulli trials and their limiting forms. The concept of a random variable. Probability distribution and density functions. Probability mass functions. Examples of random variables: Normal(Gaussian), Poisson, Gamma, Exponential, Laplace, Cauchy, Rayleigh, etc. Bayes' Theorem revisited. Functions of one random variable and their density functions. Expected value of a random variable: mean, variance, moments, and characteristic functions. Two random variables: Joint distribution and joint density functions of two random variables, independence. One function of two random variables. Two functions of two random variables. Order statistics. Joint moments, Uncorrelatedness, orthogonality, joint characteristic function. Jointly Gaussian random variables. Conditional distribution and conditional expected values. The central limit theorem. The principle of maximum likelihood. Elements of parameter estimation. Maximum likelihood estimation for unknown parameters. Unbiased estimators and their variances. Co-listed as EL 6303. Prerequisites: Graduate status and MA 3012.
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3.00 Credits
1.5:1.5:0:3 This course includes hands-on experience with a set of laboratory experiments, lectures and projects relating to real-time digital signal processing (DSP) systems using a DSP microprocessor. Students will gain experience in the implementation of common algorithms used in a variety of applications, and will learn tools and functions important for the design of DSP-based systems. Students are required to complete a project and provide an oral presentation. This course is suitable for students interested in DSP and Embedded Systems. Co-listed with EL 6183. Prerequisites: EL 6113 or Equivalent, C/C++.
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3.00 Credits
This course, intended for graduate students in the Bioengineering Program, introduces them to the principles of some of the most commonly used instruments in neuroscience research, particularly in electrophysiology and imaging. Theoretical considerations in choice of appropriate techniques as well as practical issues in choice of materials and design of experiments will be discussed. Prerequisite: adviser's approval.
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3.00 Credits
Provides an integrated approach to the basic and clinical science of drug delivery. This course discusses the following: highlights of the historical development of drug delivery; kinds of drugs to be delivered, including genes and proteins; various targeting mechanisms; pharmacokinetics and pharmacodynamics of drug delivery systems, polymeric drug delivery systems; various devices developed for controlled delivery. Prerequisite: Adviser's approval.
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3.00 Credits
Introductory course for graduate engineering students that focuses on providing fundamental knowledge of chemical and biochemical reactions. Students learn structure and function of biological molecules such as proteins, carbohydrates, DNA. They master basic concepts of structure-property relationships of macromolecules. Chemistries critical to biosensor technologies such as, linking biological molecules to various supports, is described. Students gain an appreciation and understanding of the wide-range of chemical and biological molecules that are critical to living systems. Prerequisite: Instructor's permission.
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3.00 Credits
Focuses on the following: the basic principles behind human tissue response to artificial surfaces and materials; the general types of polymeric and metallic materials used in soft and hard tissue replacements; tissue engineering and drug delivery devices; current approaches directed toward the engineering of cell-based replacement for various tissues; techniques utilized to control the physiologic response to artificial surfaces; critical review of the current biomaterials literature; current research in the field; and evaluation of the design criteria which a material must meet for a given biological application and what is required for "biocompatibility" . Prerequisite:Adviser's approval.
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