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  • ESE 460: Principles of Microfabrication Technology

    3.00 Credits
    University of Pennsylvania

    Prerequisite(s): Any of the following: ESE 218, MSE 321, MEAM 333, CBE 351, CHEM 321/322, PHYS 250 or permission of the instructor. A laboratory-based course on fabricating microelectronic and micromechanical devices using photolithographic processing and related fabrication technologies. Lectures discuss: clean room procedures; microelectronic and microstructural materials; photolithography; diffusion, oxidation; materials deposition; etching and plasma processes. Basic laboratory processes are covered for the first two thirds of the course with students completing structures appropriate to their major in the final third. Students registering for ESE 574 will be expected to do extra work (including term paper and additional project).
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  • ESE 490: Senior Design Project I-SSE

    3.00 Credits
    University of Pennsylvania

    Prerequisite(s): Junior Standing. This is the first of a two-semester sequence in systems engineering senior design. Student work will focus on project/team definition, systems analysis, identification alternative design strategies and determination (experimental or by simualtion) of specifications necessary for a detailed design. Students will receive guidance on preparing professional written and oral presentations. Each project team will submit a project proposal and two written project reports that include coherent technical presentations, block diagrams and other illustrations appropriate to the project, a budget and team schedule with sufficient detal and granularity to enable close management of the project. Each student will deliver two formal Powerpoint presentations to an audience comprised of peers, instructors and project advisors. During the semester there will be periodic individual-team project reviews.
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  • ESE 491: Senior Design Project II-SSE

    3.00 Credits
    University of Pennsylvania

    Prerequisite(s): ESE 490. This is the second of a two-term sequence in systems engineering senior design. Student work will focus on completing the design undertaken in ESE 490 and successfully implementing the project. Success will be verified using experimental and/or simulation methods appropriate to the project that test the degree to which project objectives are achieved. Each project team will prepare a poster to support a final project presentation and demonstration to peers, faculty and external judges. The course will conclude with the submission of a final project written team report. During the semester there will be periodic project reviews with individual teams.
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  • ESE 500: Linear Systems Theory

    3.00 Credits
    University of Pennsylvania

    Prerequisite(s): Open to graduates and undergraduates who have taken undergraduate courses in linear algebra and differential equations. This graduate level course focuses on linear system theory in time domain based on linear operators. The course introduces the fundamental mathematics of linear spaces, linear operator theory, and then proceeds with existence and uniqueness of solutions of differential equations, the fundamental matrix solution and state transition matrix for time- varying linear systems. It then focuses on the fundamental concepts of stability, controllability, and observability, feedback, pole placement, observers, output feedback, kalman filtering, linear quadratic regulator. Special topics such as optimal control, robust, geometric linear control will be considered as time permits.
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  • ESE 502: Introduction to Spatial Analysis

    3.00 Credits
    University of Pennsylvania

    Prerequisite(s): ESE 302 or equivalent. The course is designed to introduce students to modern statistical methods for analyzing spatial data. These methods include nearest-neighbor analyses of spatial point patterns, variogram and kriging analyses of continuous spatial data, and autoregression analyses of area data. The underlying statistical theory of each method is developed and illustrated in terms of selected GIS applications. Students are also given some experience with ARCMAP, JMPIN, and MATLAB software.
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  • ESE 504: Introduction to Optimization Theory

    3.00 Credits
    University of Pennsylvania

    Prerequisite(s): Linear Algebra. The course provides a detailed inroduction to linear and nonlinear optimization analysis as well as integer optimization analysis. It discusses methods for the mathematical formulation of linear programming (LP) integer programming (IP) and nonlinear programming (NLP) problems, as well as methods of computational tools used for their solutions. In discussions surrounding the solutions to LP problems, the Simplex method and the Revised Simplex methods are covered in a fairly rigorous fashion along with the LINDO computational computer package. Sensitivity analysis associated with the optimal solutions to LP problems is also discussed in detail using both geometric and algebraic methods. In discussions surrounding the solutions to IP problems, the course covers: (a) branch and bound, (b) enumeration and (c) cutting-plane methods, and these are applied to numerous classic problems in IP. In discussions surrounding the solutions to NLP problems, the course covers methods involving: (a) differential Calculus, (b) steepest ascent and decent and (c) Lagrange Multipliers. The Kuhn-Tucker Conditions are also presented and applied to problems in Quadratic Programming. Many examples are selected from a broad range of engineering and business problems.
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  • ESE 505: Control of Systems

    3.00 Credits
    University of Pennsylvania

    Basic methods for analysis and design of feedback control in systems. Applications to practical systems. Methods presented include time response analysis, frequency response analysis, root locus, Nyquist and Bode plots, and the state-space approach.
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  • ESE 508: Info Systems for E-Commerce

    3.00 Credits
    University of Pennsylvania

    Prerequisite(s): A computer programming language course such as CSE 120 (C++), plus ESE 301 (Probability) and ESE 302 (Statistics) or equivalent. This course looks at the information systems phenomena that are revolutionizing organizations (e.g., clicks & mortar shopping, net-centric value chains, telemedicine, emergent communities, online democracy, etc). To be effective in this milieu, organizations must do more than just push new information technology. They need to determine how to harness the new technology to manage complexity and to maximize stakeholder value. Processes need to be systematically analyzed and redesigned all along the value chain from supplies and procurement to electronic storefronts and customer support, from campaign headquarters to voter booth, etc. This course examines design principles task and information process modeling and analysis methodologies, and a range of underlying information technologies (e.g., webserver design, transaction processing, warehousing, datamining/knowledge management, bots and agents, XML, security, information theory/complexity, and more) that will help the modern organization or community to maximize its strategic objectives. We also examine failure case studies and derive lessons learned.
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  • ESE 509: Waves,Fibers and Antennas for Telecommunications

    3.00 Credits
    University of Pennsylvania

    This course is designed to provide an understanding of the physical aspects of telecommunications systems. This includes an understanding of waves and wave propagation, basic optics, the operation of optical fibers and fiber communication systems, an introduction to optical networks, free-space optical communications, and an understanding of simple antennas and arrays and their use in wireless communication.
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  • ESE 510: Electromagnetic and Optical Theory

    3.00 Credits
    University of Pennsylvania

    This course reviews electrostatics, magnetostatics, electric and magnetic materials, induction, Maxwell's equations, potentials and boundary-value problems. Topics selected from the areas of wave propagation, wave guidance, antennas, and diffraction will be explored with the goal of equipping students to read current research literature in electromagnetics, microwaves, and optics.
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