Integrated Product Development

The Integrated Product Development degree is an integrated Master of Engineering degree program. The core courses emphasize the design, manufacture, implementation, and life-cycle issues of engineering systems. The remaining courses provide a disciplinary focus. The program embraces and balances qualitative as well as quantitative aspects and utilizes state-of-the-art tools and methodologies. It aims to educate students in problem-solving methodologies, modeling, analysis, simulation, and technical management. The program trains engineers in relevant software applications and their productive deployment and integration in the workplace.

For a detailed description of this program please visit the IPD Web site >>

Core Courses

• IPD 601 Integrated Product Development I

  The first IPD course addresses methodologies and tools to define product development phases and also provides experience working in teams to design high-quality competitive products. Primary goals are to improve ability to reason about design, material, and process alternatives and apply modeling techniques appropriate for different development phases. Topics covered are: user requirements gathering, quality function deployment (QFD), design for assembly, design for materials and manufacturing processes, and optimizing the design for cost and producibility.

• IPD 602 Integrated Product Development II

  This course builds on the product definition and development processes. It focuses on the implementation of competitive product design and plans for its manufacture along with facilities layout simulation, testing, and service. Project deliverables are comprehensive product, process and testing specifications. Topics include: manufacturing process specifications and planning, process control and optimization, SPC and six sigma process, tolerance analysis, flexible manufacturing, product testing, and rapid prototyping.

• IPD 611 Simulation and Modeling

  This course emphasizes the development of modeling and simulation concepts and analysis skills necessary to design, program, implement and use computers to solve complex systems/products analysis problems. The key emphasis is on problem formulation, model building, data analysis, solution techniques and evaluation of alternative designs/processes in complex systems/products. Overview of modeling techniques and methods used in decision analysis, including multi-attribute utility models, decision trees, and optimization methods are discussed.

• IPD 612 Project Management and Organizational Design

  This project-based course exposes students to tools and methodologies useful for forming and managing an effective engineering design team in a business environment. Topics covered will include: personality profiles for creating teams with balanced diversity; computational tools for project coordination and management; real time electronic documentation as a critical design process variable; and methods for refining project requirements to ensure that the team addresses the right problem with the right solution.

Engineering Tracks

Armament Engineering

• ME 504 Interior Ballistics and Design for Projection

  The ballistic regimes, simple piezo ballistics, Corner's   analysis,
   Frankle-Baer simulation, interior ballistics interactive   simulation,
   comparison of models, projectile design practice, cannon   design practice,
   exterior intermediate ballistic regimes, flight   trajectories, terminal
   ballistics, numerical simulation of impact and   fragmentation.
                   (At Dover, NJ)
  

• ME 505 Theory and Performance of Propellants and Explosives I

   A treatment of the physical and chemical theoretical   principles which govern the characteristics and performance of propellants and   explosives; theories to explain stability, sensitivity, combustion, detonation,   initiation, power, shaped charge effect, and flash and smoke formations;   thermochemical and thermodynamic calculations to enable performance to be   predicted; kinetics of reaction of important systems; modern research   instrumentation; test procedures; methods of evaluating propellants and   explosives.
             Fall and Spring semester. (At Dover, NJ)
  

• ME 506 Theory of Performance of Propellants and Explosives II

   A treatment of the physical and chemical theoretical   principles which govern the characteristics and performance of propellants and   explosives; theories to explain stability, sensitivity, combustion, detonation,   initiation, power, shaped charge effect, and flash and smoke formations;   thermochemical and thermodynamic calculations to enable performance to be   predicted; kinetics of reaction of important systems; modern research   instrumentation; test procedures; methods of evaluating propellants and   explosives.
            Fall and Spring semester.  (At Dover, NJ)

• ME 507 Exterior Ballistics

   Basic principles of exterior ballistics are introduced.   Flight terminology,
   vacuum trajectories and flat fire point mass trajectories   are discussed.
   Siacci Method, Coriolis effect, yaw or repose, wind   effects, 6-DOF
   trajectories and modified point mass trajectories are   covered.
       (At Dover, NJ)
  

• ME 508 Terminal Ballistics

   Simplified equations for determination of flight stability   and roll resonance are developed.  Terminal ballistics are described and   nomenclature introduced. Shock and stress wave effects in material are discussed.   Penetration and perforation of solids and the governing equations are   described.  Penetration of armor by shaped charged jets are discussed.  Term   project focuses on investigation of terminal ballistic effects tailored to a   specific job application.
             (At Dover, NJ)
  

Computer Engineering

• CPE 643 Logical Design of Digital Systems I

  Design concepts for combinational and sequential (synchronous and asynchronous) logic systems; the design processes are described algorithmically and are applied to complex function design at the gate and register level; the designs are also implemented using software development tools, logic compilers for programmable logic devices and gate arrays.

• CPE 645 Image Processing and Computer Vision

  The goal is to acquaint the students with the fundamental techniques of image processing. Specific topics include: Digital imaging fundamentals; neighborhood operators; clustering, region growing; split and merge, segmentation; edge and line linking; degradation model, restoration, inverse filtering; zero-crossing methods, gradient edge detectors; gray level co-occurrence, texture analysis; morphological operations; image registration and enhancement; scale space filtering; motion estimation; 3D image recognition and estimation.

• CPE 654 Design and Analysis of Network Systems

  Analysis of current networks including classic telephone, ISDN, IP and ATM. Attributes and characteristics of high-speed networks. Principles of network design including user-network interface, traffic modeling, buffer architectures, buffer management techniques, call processing, routing algorithms, switching fabric, distributed resource management, computational intelligence, distributed network management, measures of network performance, quality of service, self-healing algorithms, hardware and software issues in future network design.

• CPE 690 Introduction to VLSI Design

  This course introduces students to the principles and design techniques of very large scale integrated circuits (VLSI). Topics include: MOS transistor characteristics, DC analysis, resistance, capacitance models, transient analysis, propagation delay, power dissipation, CMOS logic design, transistor sizing, layout methodologies, clocking schemes, case studies. Students will use VLSI CAD tools for layout and simulation. Selected class projects may be sent for fabrication.

• EE 663 Digital Signal Processing I

   Review of mathematics of signals and systems including   sampling theorem, Fourier transform, z-transform, Hilbert transform;   algorithms for fast computation: DFT, DCT computation, convolution; filter   design techniques: FIR and IIR filter design, time and frequency domain methods,   window method and other approximation theory based methods; structures for   realization of discrete time systems: direct form, parallel form, lattice   structure and other state-space canonical forms (e.g., orthogonal filters and   related structures); roundoff and quantization effects in digital filters:  analysis of sensitivity to coefficient quantization, limit cycle in IIR filters,  scaling to prevent overflow, role of special structures.
  

Electrical Engineering

• CPE 643 Logical Design of Digital Systems I

  Design concepts for combinational and sequential (synchronous and asynchronous) logic systems; the design processes are described algorithmically and are applied to complex function design at the gate and register level; the designs are also implemented using software development tools, logic compilers for programmable logic devices and gate arrays.

• CPE 690 Introduction to VLSI Design

  This course introduces students to the principles and design techniques of very large scale integrated circuits (VLSI). Topics include: MOS transistor characteristics, DC analysis, resistance, capacitance models, transient analysis, propagation delay, power dissipation, CMOS logic design, transistor sizing, layout methodologies, clocking schemes, case studies. Students will use VLSI CAD tools for layout and simulation. Selected class projects may be sent for fabrication.

• EE 602 Analytical Methods in Electrical Engineering

  The theory of linear algebra with application to state space analysis. Topics include Cauchy-Binet and Laplace determinant theorems, system of linear equations; linear transformations, basis and rank; Gaussian elimination; LU and congruent transformations; Gramm-Schmidt; eigenvalues, eigenvectors and similarity transformations; canonical forms; functions of matrices; singular value decomposition; generalized inverses; norm of a matrix; polynomial matrices; matrix differential equations; state space; controllability and observability.

• EE 603 Linear System Theory

  Fourier transforms; distribution theory; Gibbs phenomena; Shannon sampling; Poisson sums; discrete and fast Fourier transforms; Laplace transforms; z-transforms; the uncertainty principle; Hilbert transforms; computation of inverse transforms by contour integration; stability and realization theory of linear, time invariant, continuous and discrete systems.

• EE 605 Probability and Stochastic Processes I

  Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
  

• EE 663 Digital Signal Processing I

   Review of mathematics of signals and systems including   sampling theorem, Fourier transform, z-transform, Hilbert transform;   algorithms for fast computation: DFT, DCT computation, convolution; filter   design techniques: FIR and IIR filter design, time and frequency domain methods,   window method and other approximation theory based methods; structures for   realization of discrete time systems: direct form, parallel form, lattice   structure and other state-space canonical forms (e.g., orthogonal filters and   related structures); roundoff and quantization effects in digital filters:  analysis of sensitivity to coefficient quantization, limit cycle in IIR filters,  scaling to prevent overflow, role of special structures.
  

Manufacturing Technologies

• ME 560 Total Quality Control

  This course provides project managers with the framework, tools and approaches to meet the quality requirements of their projects and their customers, ensuring project success.

• ME 564 Principles of Optimum Design and Manufacture

  Application of mathematical optimization techniques, including linear and nonlinear methods, to design and manufacture of devices and systems of interest to mechanical engineers; optimization techniques include: constrained and unconstrained optimization in several variables, problems for structured multi-stage decision, and linear programming; formulation of design and manufacturing problems using computer- based methods; optimum design of parts and assemblies to minimize the cost of manufacture.

• ME 566 Design for Manufacturability

  This course is involved in the design and development of parts and assemblies for manufacturability and functionality; characteristics and capabilities of significant manufacturing processes; principles of design for manufacturability; product planning; conceptual design; embodiment design; dimensional tolerances; optimum design of products to minimize cost of manufacture; materials specifications for ease of manufacturability and good functional results; design for ease of assembly; integrated product development; concurrent engineering practice.

• ME 598 Introduction to Robotics

  Elements of a robotic/flexible automation system; overview of applications; manipulator anatomy; drive systems; end effectors; sensors; computer control: functions, levels of intelligence, motion control, programming and interfacing to sensors and actuators; applications: identification, hardware selection, work cell design, economics, case studies; design of parts and assemblies; advanced topics.

• ME 621 Introduction to Modern Control Engineering

  Introduction to state space concepts; state space description of physical systems such as electrical, mechanical, electromechanical, thermal, hydraulic, pneumatic, aerospace, etc. systems. Eigenvalues, eigenvectors and other topics in linear algebra, modal decomposition and other coordination transformations. Relationship between classical transfer function methods and modern state methods. Analysis of linear continuous and discrete time linear systems, solution by state transition matrix, control ability, observability and stability properties; synthesis of linear feedback control systems via pole assignment and stabilizability and performance index minimization. Brief introduction to optimal control, estimation and identification. Alternate years.

• ME 652 Advanced Manufacturing

  This course is intended to give the student an in-depth appreciation of contemporary and emerging manufacturing methods in use in a wide variety of durable and consumable goods industries. The initial emphasis will be on the mechanics of material removal/material flows and processing. Next, contemporary net-shape composite manufacturing processing techniques, equipment and testing methods will be presented and demonstrated whenever possible. The course will conclude with hands-on manufacturing projects accomplished in teams, focusing on the study of the field of manufacturing processes from a mechanical engineering design standpoint. Topics will include optimum mechanical design for cost, weight, stress, energy and tolerances.

Systems Reliability & Design

• SYS 595 Design of Experiments and Optimization

  This course is an application oriented with theoretical arguments approached from an intuitive level rather than from a rigorous mathematical approach. This course teaches the student how statistical analyses are performed while assuring the student an understanding of the basic mathematical concepts. The course will focus on "real world" uses of statistical analysis and reliability theory. The student will use the software to solve problems. Included in this course will demonstrate Markov modeling techniques. This course is a perquisite to the System Reliability and Life Cycle Analysis course.

• SYS 605 Systems Integration

  This course will explore and discuss issues related to the integration and testing of complex systems. First and foremost, students will be exposed to issues relating to the formulation of system operational assessment and concept. Subsequently, functional modeling and analysis methods will be used to represent the system functionality and capability, leading to the packaging of these functions and capabilities into high-level system architecture. Specific focus will be given to issues of interface management and testability. The course will also address the related management issues pertaining to integrated product teams, vendors and suppliers, and subcontractors. In addition, selected articles will be researched to demonstrate the techniques explored in class.

• SYS 650 System Architecture and Design

  This course discusses the fundamentals of system architecting and the architecting process, along with practical heuristics. Furthermore, the course has a strong "how-to" orientation, and numerous case studies are used to convey and discuss good architectural concepts as well as lessons learned. Adaptation of the architectural process to ensure effective application of COTS will also be discussed. In this regard, the course participants will be introduced to an architectural assessment and evaluation model. Linkages between early architectural decisions, driven by customer requirements and concept of operations, and the system operational and support costs are highlighted.