FALL 1996 Enginet Schedule

• Applied Math and Statistics
  
  • AMS 510 ANALYTICAL METHODS
    Review of techniques of multivariate calculus. Convergence and limits, matrix analysis, vector space basics, Lagrange multipliers.

  • AMS 507 INTRODUCTION TO PROBABILITY
    Sample spaces, conditional probability and independence, random variables and functions of random variables; binomial, Poisson, normal, and other special distributions; moment-generating functions; law of large numbers and central limit theorem; Markov chains. Applications to statistics.

  • AMS 591 BUSINESS POLICY, FORMULATION AND ADMINISTRATION
    Problems faced by the general manager in business planning, forecasting and decision making. Typical case studies relating to establishing objectives and formulating strategies are assigned as a basis for class sessions. Analyses of financial statements, production planning and organizational structures are involved in arriving at recommendations for action.

  • AMS 540 LINEAR PROGRAMMING
    Formulation of linear programming problems and solution by simplex method. Duality, sensitivity analysis, dual simplex algorithm, decomposition. Applications to the transportation problem, two-person games, assignment problem, and introduction to integer and nonlinear programming.

  • AMS 572 DATA ANALYSIS
    Introduction to basic statistical procedures. Survey of elementary statistical procedures such as the t-test and chi-square test. Procedures to verify that assumptions are satisfied. Extensions of simple procedures to more complex situations and introduction to one-way analysis of variance. Basic exploratory data analysis procedures such as stem and leaf plots, straightening regression lines, and techniques to establish equal variance.

  • TECHNOLOGY AND POLICY ISSUES IN MANUFACTURING ENTERPRISES AMS 691
    Manufacturing is not an independent entity, but is part of the overall enterprise. It is critical to design for manufacturing. Costs must be established in the planning and design phase, not subsequent to prototype production.

    New technologies for management and new technologies for manufacturing have led to large-scale restructuring of the industrial enterprise. The purpose of this course will be to explore some of their policy implications.

    Strategic decisions in manufacturing will be examined. Location of facilities, modernization of facilities and investment in technologies such as Computer Integrated Manufacturing (CIM) are typical strategic decisions. Despite rigorous quantitative studies including computer modeling, discrete event simulation, etc. many real world decisions are ultimately based on instinct and experience. Does this obviate the need for rigorous analysis? No, but why?

    The science and technology of manufacturing including plasma forming of precision parts will be examined. Technologies for inventory management, statistical quality improvement and factory automation have changed dramatically in recent years. How do you install, not necessarily the process, but the thinking and culture required to use these new but necessary approaches?

    A quantum-step change in the paradigm is required. How do you change the process fast enough to survive without causing total destruction of the enterprise?

    Continuing education is the last theme to be covered. Radical changes in technology and in institutional organizational structures occur with increasing rapidity. To keep current, students should regard education, both for employment skills and for human enrichment, as a life long process. The model of education as preparation, separated from the rest of life, is outmoded. Individual, institutional and technological changes to support this model of education will be discussed.

• Computer Science
  • CSE 500 CONCEPTS IN COMPUTER SCIENCE
    Provides background in fundamental computer science concepts and software development skills sufficient for a technically trained person, without an undergraduate computer science degree, to take selected graduate courses in computer science. Introduces advanced software techniques for the development of quality and reliable software systems. Programming projects using C++ on a PC or UNIX environment will reinforce these software development concepts. Important topics introduced include: data structures, object-oriented methodology, software specification, design, implementation and testing, and recursive techniques. Note. This course will normally be used as a bridge course for the certificate in software engineering and is not accepted for credit toward the regular MS degree.

  • CSE 515 TRANSACTION PROCESSING
    Discusses transaction processing systems. Application generators are reviewed and the transactional aspects of SQL are discussed. Topics include ACID properties of transactions, concurrency control, and distributed database systems.

  • CSE 501 DIGITAL SYSTEMS SYNTHESIS
    Small to medium scale components (logic gates, registers, adders); hardware description language (HDL); introduction to commercial synthesis tools; introduction to field programmable gate arrays (FPGA). Students will use commercial synthesis and simulation tools, including a Verilog simulator, the Synopsys design analyzer and FPGA compiler, FPGA place and route, and low level (timing) simulation.

  • CSE 506 OPERATING SYSTEMS
    An introduction to the structure of modern operating systems. Topics include virtual memory, resource allocation strategies, concurrency and protection. The design and implementation of a simple system will be performed.

• Electrical Engineering
  • ESE 502 LINEAR SYSTEMS
    Mathematical descriptions and correspondence between continuous-time and discrete-time linear systems. State variable and input-output formulation and the use of Laplace and z-transforms in analysis. Controllability, observability, minimal realization, and structural canonical forms. Assignment of system nodes, Rx state variable feedback, and the design of observers. Stability criteria and the Routh-Hurwitz test for asymptotic stability.

  • ESE 503 STOCHASTIC SYSTEMS
    Basic probability concepts and application. Probabilistic bounds, characteristic functions and multivariate distributions. Central limit theorem, normal random variables. Stochastic processes in communications, control and other signal processing systems. Stationarity, ergodicity, correlation functions, spectral densities and transmission properties. Optimum linear filtering, estimation and prediction.

  • ESE 511 SOLID-STATE ELECTRONICS I
    A study of the electron and hole processes in solids leading to the analysis and design of solid-state electronic devices. Solutions to the Schrodinger representation of quantum effects, perturbation techniques. Simple band structure, effective mass theorem. Derivation and application of the Boltzman transport theory. Electrical and thermal conductivities of metals and of semiconductors, Hall effect, thermal effects, and their application to electronic devices. Properties of semiconductors and the theories underlying the characteristics of semiconductor devices.

  • ESE 516 INTEGRATED ELECTRONIC DEVICES AND CIRCUITS I
    Theory and applications: elements of semiconductor electronics, methods of fabrication, bipolar junction transistors, FET, MOS transistors, diodes, capacitors and resistors. Design techniques for linear digital integrated electronic components and circuits. Discussion of computer-aided design, MSI and LSI.

  • ESE 532 THEORY OF DIGITAL COMMUNICATION
    Optimum receivers, efficient signaling, comparison classes of signal schemes. Channel capacity theorem, bounds on optimum system performance, encoding for error reduction, and the fading channel. Source coding and some coding algorithms. Prerequisite: ESE 503.

  • ESE 547 DIGITAL SIGNAL PROCESSING
    A basic graduate course in Digital Signal Processing. Sampling and reconstruction of Signals. Review of Z-Transform theory. Signal flow-graphs. Design of FUR and IIR filters. discrete and fast Fourier transforms. Introduction to adaptive signal processing. Implementation considerations. Prerequisites: Senior level course in signals and systems.

  • ESE 558 DIGITAL IMAGE PROCESSING I
    The material in this offering will constitute a first course introduction to the field of digital image processing. Image generation, electro-optical sensor characteristics, vision, color perception/matching will be discussed with respect to image processing requirements followed by image sampling techniques, 2D Nyquist Theorem, aliasing effects and scalar/vector quantization techniques. Linear image processing techniques will be treated from finite and infinite dimensional vector space approaches and will include Fourier, Haar, singular-value decomposition, Karhunan-Loeve transforms and their fast counterparts. Application of these techniques to image enhancement/restoration will follow and will include histogram equalization, deblurring, weiner filtering, and pseudo-inverse restoration. Prerequisite: Linear Systems/Probability Theory.

• Management
  • MGT 591 BUSINESS POLICY, FORMULATION AND ADMINISTRATION
    For description see cross-listing with AMS 591.

• Information Systems Management
  • For information on the sequencing of courses to obtain the Advanced State Certificate in Information Systems Management, contact IMS, Harriman School of Management, SUNY @ Stony Brook NY 11794 Tele: 516 632 7426.

• Materials Science and Engineering
  • ESM 531, KINETICS AND PHASE TRANSFORMATIONS
    A review of the processes by which structures are changed in the solid state. Classical nucleation theory including homogeneous and heterogeneous mechanisms. Diffusion and diffusionless growth mechanisms. Transformation kinetics.

  • ESM 532, MATERIALS PROCESSING
    A study of manufacturing processes used in the semiconductor industries. Topics include: Single crystal growth, compound formation, zone refining, expitaxial growth, doping techniques, thin film techniques, thick film techniques, passivations, isolations, lead bonding techniques, cleaning and etching, and failure analysis; discrete devices and integrated circuit devices; various modern concepts in IC processing.

• Mechanical Engineering
  • MEC 512 MECHANICS OF VISCOUS FLUID
    The role of viscosity in the dynamics of fluid flow. The Navier-Stokes equations, low Reynolds number behavior including lubrication theory, percolation through porous media, and flow due to moving bodies. High Reynolds number behavior including steady, unsteady and detached boundary layers, jets, free shear layers, and wakes. Phenomenological theories of turbulent shear flows are introduced.

  • MEC 536 MECHANICS OF SOLIDS
    A unified introduction to the fundamental principles, equations, and notation used in finite deformation of solids, with emphasis on the physical aspects of the subject. Cartesian tensor representation of stress, principal values, finite strain, and deformation. Conservation of mass, momentum, and energy. Formulation of stress-strain relations in elasticity, and compatibility relations. The use of general orthogonal coordinate systems in the equations governing solids. Principles of virtual displacement and virtual work.

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