Prereq: 600.333 or 600.433 or permission. Students can only receive credit for 600.344 or 600.444, not both. This course considers intersystem communications issues. Topics covered include layered network architectures; the OSI model; bandwidth, data rates, modems, multiplexing, error detection/correction; switching; queuing models, circuit switching, packet switching; performance analysis of protocols, local area networks; and congestion control. [Systems]
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Prereq: 600.120 (C++) and 600.226, linear algebra. Permission of instructor is required for students not satisfying a pre-requisite. This course introduces computer graphics techniques and applications, including image processing, rendering, modeling and animation. Students may receive credit for 600.357 or 600.457, but not both. [Applications]
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Prereq: 600.226 or Perm. Req'd. Students may receive credit for 600.363 or 600.463, but not both. This course concentrates on the design of algorithms and the rigorous analysis of their efficiency. topics include the basic definitions of algorithmic complexity (worst case, average case); basic tools such as dynamic programming, sorting, searching, and selection; advanced data structures and their applications (such as union-find); graph algorithms and searching techniques such as minimum spanning trees, depth-first search, shortest paths, design of online algorithms and competitive analysis.
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Prereq: 600.120, 600.226; 600.321 recommended. Senior CS majors only. This course will give senior CS majors an intensive capstone design project experience. Students will work in groups with real world customers to develop a working system. Project design, management and communication skills will be emphasized. Software development methodologies may also be presented. [General]
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Computers and information technology has become major forces in transforming American medicine. We shall discuss some of the new entities---the computer-based patient record, clinical practice guidelines, and digital libraries---and their underlying technologies: networks, databases, controlled vocabularies, and decision analysis. Short course meets 4 weeks (tba).
Score: 7.838909 Details | Listing | Web page
Prereq: 600.226, and 600.333; 600.211 recommended. Students may receive credit for 600.318 or 600.418, but not both. Graduate level version of 600.318. [Systems]
Score: 7.838909 Details | Listing | Web page
This course focuses on communication security in computer systems and networks. The course is intended to pro-vide students with an introduction to the field of network security. The course covers network security services such as authentication and access control, integrity and confidentiality of data, firewalls and related technologies, Web security and privacy. Course work involves implementing various security techniques. A course project is required. Prerequisites: 600.226, (600.344 or 600.444) or permission; 600.120 (or equivalent) recommended. [Systems]
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Prereq: 600.226, 600.271, Calc II. Students can only receive credit for 600.325 or 600.425, not both. Graduate level version of 600.325. [Analysis]
Score: 7.838909 Details | Listing | Web page
Sophomores, juniors and seniors. Science Majors Co-listed with 250.106 and 250.306
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Prereq: Calculus I and II (Biological or Physical) 110.106-107 or 110.108-109 or equivalent. Mathematical methods to solve real-world or equivalent biological problems. Methods including differential equations, matrix algebra, partial differentiation and probability used to address related biological and biophysical questions. URL:http://roselab.jhu.edu/~lperskie/biological_math_online.html
Score: 7.838909 Details | Listing | Web page
For those who have already taken 250.106 or 250.300 Co-listed with 250.106 and 250.300
Score: 7.838909 Details | Listing | Web page
Prereq: Calculus, Organic Chemistry, and Introductory Physics Physical chemistry of the cell emphasizing problem solving. Topics include classical and statistical thermodynamics, conformational equilibria and binding, allosteric models, thermodynamics of proteins and nucleic acids, helix-coil transition, and polymers.
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Instructor's permission required; preference to Biophysics majors; prereq. Biochemistry 020.305 and Biochemistry Lab 020.315. Lecture and lab with hands-on introduction to methods employed in biophysical study of macromolecules. Topics include circular dichroism, fluorescence spectroscopy, mass spectroscopy, light scattering and transport methods. Problem solving, data analysis and literature understanding emphasized.
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Prereq: 020.305 - Biochemistry and 250.372 - Introduction to Biophysical Chemistry Structural basis of biological energy transduction (i.e. bioenergetics). Review global aspects of bioenergetics (from photon to ATP) and examine structures of key proteins involved in biological energy transduction (light harvesting complexes, bacteriorhodopsin, ATPase, cytochrome C oxidase, etc). Emphasis on unique structural motifs necessary for energy transduction, and on relevant physical and chemical principles governing bioenergetics. Possibly talk about how it all might have started (i.e. origins of life). Students who have taken Advanced Seminar on a different topic permitted to enroll.
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Prerequisites: 520.214 (or 580.222) or consent of the instructor. An introductory course to basic concepts of information processing of human communication signals (sounds, images,..) in living organisms and by machine. Role of sensory signals, introduction (or review) of basic concepts of signals and systems and of information theory, basic psychophysical concepts of auditory and visual perception, physiology of hearing and vision, engineering applications with emphasis on auditory models for speech coding and recognition.
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Prerequisite: 520.414 This course covers fundamental methods for the processing and analysis of images and describes standard and modern techniques for the understanding of images by morphological image processing and analysis, image representation and description, image recognition and interpretation.
Score: 7.838909 Details | Listing | Web page
Prequisite: EN.520.419 This course is a continuation of EN.520.419. It covers informaion on the non-deterministic schema and cyclic iterative schemas, Jacobians, Hessians and Mean Value Theorems, spectral norm, convex sets and positive definite majs.
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Prereq: 520.424 and senior status, no exceptions Laboratory course for FPGA based senior projects. Students will work in teams to complete a design project that makes use of embedded FPGAs. The projects will make use of the Spartan2 XSA boards and other resources from the FPGA Synthesis lab course. Possible projects include: A 16 or 32 bit RISC processor with student designed ISA architecture, assembler, and mini operating system; or a Spartan2 emulation of an existing microprocessor such as an 8051, an optical communication system to transmit stereo music using various modulation schemes for comparison (This would include FM or AM and at least one digital scheme such as FSK,); or a digital receiver for commercial AM or FM radio. Students are expected to complete a demonstration and produce a poster session final report.
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Prereq: Course in 'C' Programming Programming models and languages for current computing platforms. Computational models include shared and distributed memory multiprocessors. Essential techniques of message-passing parallel programming will be based upon MPI (Message Passing Interface); shared memory programming will use the OpenMP standard. Other parallel language extensions will be studied, including Split-C and UPC (unified parallel C). Programming projects will be given for the IBM SP parallel computer and other available departmental multicomputers.
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Prerequisites: 520.432 or 580.472 (Medical Imaging Systems) or 550.310 or 550.311. Probability and Statistics). This course covers the principles and algorithms used in the processing and analysis of medical images. Topics include, interpolation, registration, enhancement, feature extraction, classification, segmentation, quantification, shape analysis, motion estimation, and visualization. Analysis of both anatomical and functional images will be studied and images from the most common medical imaging modalities will be used. Projects and assignments will provide students experience working with actual medical imaging data.
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Prereq: 520.432 or 580.472 An intermediate biomedical imaging course covering modern biomedical imaging instrumentation and techniques as applied to diagnostic radiology and other biomedical applications. It includes recent advances in various biomedical imaging modalities, multi- modality imaging and molecular imaging. The course is team taught by experts in the respective fields and provides a broad based knowledge of modern biomedical imaging to prepare students for graduate studies and research in biomedical imaging. Also, the course will offer tours and practical experience with modern biomedical imaging equipments in clinical and research settings.
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Prereq: 520.435, C/C++ programming and Matlab are required. An introduction to the coding and processing of digital multimedia. The course covers current popular techniques for processing, storage, and delivery of media such as speech, audio, images and video. The emphasis will be on the theoretical basis as well as efficient implementations. Topics include transform and subband coding, motion estimation and compensation, international compression standards (AC3, JPEG, MPEG, H.263, HDTV), and emerging techniques.
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Prerequisites: 520.216, 520.345 or equivalent. Recommended: 600.333, 600.334, 520.349, 520.372, 520.490 or 520.491. An advanced laboratory course in which teams of students design, build, test and document application specific information processing microsystems. Semester long projects range from sensors/actuators, mixed signal electronics, embedded microcomputers, algorithms and robotics systems design. Demonstration and documentation of projects are important aspects of the evaluation process.
Score: 7.838909 Details | Listing | Web page
Prerequisites: 520.216, 520.345 or equivalent. Recommended: 600.333, 600.334, 520.349, 520.372, 520.490 or 520.491. An advanced laboratory course in which teams of students design, build, test and document application specific information processing microsystems. Semester long projects range from sensors/actuators, mixed signal electronics, embedded microcomputers, algorithms and robotics systems design. Demonstration and documentation of projects are important aspects of the evaluation process.
Score: 7.838909 Details | Listing | Web page
Prereq: 520.349 This course covers the usage of common microcontroller peripherals. Interrupt handling, timer operations, serial communication, digital to analog and analog to digital conversions, and flash ROM programming are done on the 68HC08, 8051, and eZ8 microcontrollers. Upon completion, students can use these flash-based chips as elements in other project courses.
Score: 7.838909 Details | Listing | Web page
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