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  • EN 580.452: Cell & Tissue Eng Lab

    2.00 Credits
    Johns Hopkins University

    This laboratory course will consist of three experiments that will provide students with valuable hands-on experience in cell and tissue engineering. Experiments include the basics of cell culture techniques, gene transfection and metabolic engineering, basics of cell-substrate interactions I, cell-substrate interactions II, and cell encapsulation and gel contraction. - Lab periods are in 2 hour blocks (4-6 or 6-8). However some lectures may need a 4 hour block for a particular lab. $100 lab fee
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  • EN 580.455: Introduction to Orthopaedic Biomechanics

    3.00 Credits
    Johns Hopkins University

    Prereq: 110.302 Section 01 is restrcted to Juniors only. This course will cover static and dynamic force in the musculoskeletal systems, joint reactions, soft and hard tissue response to force loads, muscle mechanics, material properties, biomechanical lumped parameter systems, modeling and injury mechanisms. Co-listed with 580.655
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  • EN 580.466: Statistical Methods in Imaging

    3.00 Credits
    Johns Hopkins University

    Denoising, segmentation, texture modeling, tracking, object recognition are challenging problems in imaging. We will present a collection of statistical models and methods in order to adress these, including the E.M algorithm, Maximum Entropy Modeling, Markov Random Fields, Markov Chain Monte Carlo, Boltzmann Machines and Multilayer Perceptrons. Prerequisites: 110.202 and 550.310/equiv.
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  • EN 580.469: Design of Economic Health Care Technologies

    2.00 Credits
    Johns Hopkins University

    Permission of instructor. This spring semester course is offered to juniors and seniors in engineering with an interest in developing economic health care technologies for global health care needs. Health care technologies for global use need to be cost effective and serve the needs of the disadvantaged population. In the US as well health care costs are spiraling and economic health care technologies and solutions will be necessary. This laboratory course will focus on identifying the health care needs, coming up with innovative technical solutions, designing and building such instrument prototypes and exploring how such technologies can be disseminated globally. A new laboratory, EcoHealth, will be set up to do rapid prototyping and the students will do independent designs in this lab after doing proper needs identification and will be responsible for finding appropriate target needs. Students will be required to write the problem statement and the need analysis, submit a patent on the design, and a short proposal to seek funding from philanthropic or Government/non Government agencies. The course will focus on hands on design and projects, doing research and writing reports (or patents) pertaining to novel and useful technologies, and will receive 2 design credits and writing credits. This course, along with the 4 credit 580.471 (Principles of Design of Medical Instrumentation) offered in fall, and the 2 credit 580.571 (Honors Instrumentation) offered during the Intersession comprises an 8 credit design sequence that can serve the requirements for a full Capstone Design experience. The enrollment is restricted and subject to approval by the instructor, Prof. Nitish Thakor (nitish@jhu.edu). Selection of the students will depend on commitment and experience with hands on design and instrumentation development and an interest in global health care needs.
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  • EN 580.488: Foundations of Computational Biology & Bioinformatics II

    3.00 Credits
    Johns Hopkins University

    Prereq: Math through linear algebra and differential equations, EN.580.221 or equiv., EN.600.226 or equiv. This course will introduce probabilistic modeling and information theory applied to biological sequence analysis, focusing on statistical models of protein families, alignment algorithms, and models of evolution. Topics will include probability theory, score matrices, hidden Markov models, maximum likelihood, expectation maximization and dynamic programming algorithms. Homework assignments will require programming in Python. Foundations of Computational Biology I is not a prereq.
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  • EN 580.491: Learning Theory

    3.00 Credits
    Johns Hopkins University

    Prereq: 110.201(Linear Algebra) and 110.302 (Differential Equations). The course introduces the probabilistic foundations of learning theory. We will discuss topics in regression, estimation, optimal control, system identification, Bayesian learning, and classification. Our aim is to first derive some of the important mathematical results in learning theory, and then apply the framework to problems in biology, particularly animal learning and control of action.
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  • EN 580.492: Build-a-Genome Mentor

    4.00 Credits
    Johns Hopkins University

    Prereq: Build-a-Genome (580.420). In addition to producing and sequencing DNA segments like regular B-a-G students, mentors will help prepare and distribute reagents, and maintain a Moodle site to track student reagent use and productivity. Mentors will also be expected to mentor specific students who are learning new techniques for the first time, contribute to the computational and biotech infrastructure associated with Build-a-Genome, and pursue at least one independent research project. Co-listed with 020.451
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  • EN 600.103: Fundamentals of Practical Computing

    3.00 Credits
    Johns Hopkins University

    Intended audience: students majoring in science, engineering or medicine. This course will provide a sampling of the theory behind and practical use of a broad spectrum of computational tools and technologies. We will start with Scratch (a programming language for kids) and show how many of the same concepts show up in Web Programming (HTML & Javascript). There will be a taste of algorithms, databases (SQL), Unix, statistics packages (R), data mining and visualization tools (graphviz), natural language processing, web search, interpreted languages (Python & LISP), compiled languages (C), and more. Students should come away with a few tools and concepts that will prove useful in their major, as well as the confidence that they can search the web to find what they need, when they need it, just-in-time.
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  • EN 600.104: Computer Ethics

    1.00 Credits
    Johns Hopkins University

    Computer Science majors only Note: Meets every other week. Students will examine a variety of topics regarding policy, legal, and moral issues related to the computer science profession itself and to the proliferation of computers in all aspects of society, especially in the era of the Internet. The course will cover various general issues related to ethical frameworks and apply those frameworks more specifically to the use of computers and the Internet. The topics will include privacy issues, computer crime, intellectual property law -- specifically copyright and patent issues, globalization, and ethical responsibilities for computer science professionals. Work in the course will consist of weekly assignments on one or more of the readings and a final paper on a topic chosen by the student and approved by the instructor.
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