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  • ESE 534: Computer Organization

    3.00 Credits
    University of Pennsylvania

    Prerequisite(s): Basic computability and basic digital circuits, VLSI exposure helpful but not required. CSE 371 adequate. Organization and design of physical computational systems, basic building block for computations, understanding and exploiting structure in computational prob design space, costs, and tradeoffs in computer organization, common machine abstractions, and implementation/optimization techniques. The course will develop fundamental issues and tradeoffs which define computer organizational and architectural styles including RISC, VLIW, Super Scalar, EPIC, SIMD, Vector, MIMD, reconfigur FPGA, PIM, and SoC. Basic topics in the design of computational units, instruction organization, memory systems, control and data flow, and interconnect will also be covered.
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  • ESE 535: Electronic Design Automation

    3.00 Credits
    University of Pennsylvania

    Prerequisite(s): Digital logic, Programming (need to be comfortable writing ~1-3K lines of code and working with a large, existing base code). Formulation, automation, and analysis of design mapping problems with emphasis on VLSI and computational realizations. Major themes include: formulating and abstracting problems, figures of merit (e.g. Energy, Delay, Throughput, Area, Mapping Time), representation, traditional decomposition of flow (logic optimization, covering, scheduling, retiming, assignment, partitioning, placement, routing), and techniques for solving problems (e.g., greedy, dynamic programming, search, (integer) linear programming, graph algorithms, randomization, satisfiability).
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  • ESE 539: Neural Networks,Chaos,and Dynamics:Theory and Application

    3.00 Credits
    University of Pennsylvania

    Physiology and anatomy of living neurons and neural networks; Brain organization; Elements of nonlinear dynamics, the driven pendulum as paradigm for complexity, synchronicity, bifurcation, self-organization and chaos; Iterative maps on the interval, period-doubling route to chaos, universality and the Feigenbaum constant, Lyapunov exponents, entropy and information; Geometric characterization of attractors; Fractals and the Mandelbrot set; Neuron dynamics: from Hudgkin-Huxley to integrate and fire, bifurcation neuron; Artificial neural networks and connectionist models, Hopfield (attractor-type) networks, energy functions, convergence theorems, storage capacity, associative memory, pattern classification, pattern completion and error correction, the Morita network; Stochastic networks, simulated annealing and the Boltzmann machine, solution of optimization problems, hardware implementations of neural networks; the problem of learning, algorithmic approaches: Perception learning, back-propagation, Kohonnen's self-organizing maps and other networks; Coupled-map lattices; Selected applications including financial markets.
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  • ESE 540: Engineering Economics

    3.00 Credits
    University of Pennsylvania

    This course is cross-listed with an advanced-level undergraduate course (ESE 400). Compared to the undergraduate course, students will be required to do additional work and will be graded by a more rigourous performance standard. Topics include: money-time relationships, discrete and continuous compoundng, equivalence of cash flows, internal and external rate of return, design and production economics, life cycle cost analysis, depreciation, after-tax cash flow analysis, cost of capital, capital financing and allocation, parametric cost extemating models, pricing, foreign exchange rates, stochastic risk analysis, replacement analysis, benefit-cost analysis, and analysis of financial statements. Case studies apply these topics to engineering systems.
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  • ESE 544: Project Management

    3.00 Credits
    University of Pennsylvania

    Prerequisite(s): ESE 304 or equivalent. The course emphasizes a systems engineering approach to project management including the cycle costing and analysis, project scheduling, project organization and control, contract management, project monitoring and negotiations. In addition, the course will also examine management issues in large infrastructure projects like nonrecourse or limited recourse project financing. Examples from the logistics planning process and global software project management will be used to highlight the course topics.
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  • ESE 552: Transportation Systems Engineering

    3.00 Credits
    University of Pennsylvania

    Development of transportation and its impact on society and the economy. Geometric characteristics of vehicles. Theory of traction and vehicle dynamic performance. Travel time computations. Transportation networks. Street design and traffic engineering. Railroad technology and operations. High-speed railroads. Air transportation system components and operations. Air traffic control and navigation. Transportation system performance and scheduling. Field trip to major transportation facilities.
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  • ESE 554: Urban Transit Systems and Technology

    3.00 Credits
    University of Pennsylvania

    Role of transportation in founding and growth of cities. Classification, definitions, theory, and characteristics of urban transportation modes, their components and performance. Vehicle propulsion and travel time computations; energy consumption and its possible reduction. Bus, trolleybus, light rail, rapid transit, AGT and specialized modes - vehicles, ways, terminals, operations and costs. Paratransit modes, and their role in urban transportation. Theoretical and practical capacities of modes. Present and potential innovations in vehicle design, propulsion, automation, including fully automated rapid transit systems. Visit to a transit system.
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  • ESE 555: Cities and Transportation Systems

    3.00 Credits
    University of Pennsylvania

    Transportation systems operations; concepts, scheduling and analyses. Applications of operations research methods. Rail and bus networks, lines, branches and feeders. Timed transfer system. Fares, other revenues and costs. Organization and management. Transit planning methodology; comparison of modes. Transit financing and policy. Urban transportation problems in developed and developing countries: their origins, causes and solutions. Definition and implementation of optimal role of cars, transit, bicycles and pedestrians in cities. Balanced transportation and livable cities. Field trip.
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  • ESE 567: Risk Analysis and Environmental Management

    3.00 Credits
    University of Pennsylvania

    This course is designed to introduce students to the complexities of making decisions about threats to human health and the environment when people's perceptions of risks and their decision-making processes differ from expert views. Recognizing the limitations of individuals in processing information the course explores the role of techniques such as decision analysis, cost-benefit analysis, risk assessment and risk perception in structuring risk-management decisions. We will also examine policy tools such as risk communication, incentive systems, third party inspection, insurance and regulation in different problem contexts. The problem contexts for studying the interactions between analysis, perceptions, and communication will include risk-induced stigmatization of products (e.g. alar, British beef), places (e.g. Love Canal), and technologies (e.g. nuclear power); the siting of noxious facilities, radon, managing catastrophic risks including those from terrorism. A course project will enable students to apply the concepts discussed in the course to a concrete problem.
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  • ESE 570: Digital Integrated Circuits and VLSI-Fundamentals

    3.00 Credits
    University of Pennsylvania

    Prerequisite(s): ESE 319 (for undergraduates) or permission of the instructor. Explores the design aspects involved in the realization of an integrated circuit from device up to the register/subsystem level. It addresses major design methodologies with emphasis placed on the structured design. The course includes the study of MOS device characteristics, the critical interconnect and gate characteristics which determine the performance of VLSI circuits, and NMOS and CMOS logic design. Students will use state-of-the-art CAD tools to verify designs and develop efficient circuit layouts.
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