Systems Engineering   (SE)

 

 

 

Courses offering in the first semester 081 ( October 2008 ) :

 

 

SE-201 Introduction to Systems Engineering (2-0-2)

Introduction to systems engineering, Some Areas of Industrial Engineering/Operations Research : Facility Location, Quality Control, Production Planning, and Linear Programming. Some Areas of Automation/Control: Automation, The Concepts of Automatic Control, Open and Closed Loop Control. Instrumentation, and Use of Computers in Control. Systems Approach to Engineering Problems, Integrating the Above Tools. Applications of Systems Concepts in Engineering.

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SE-205 Engineering Probability and Statistics (2-3-3)

Sample space, events, random variables, conditional probability, some discrete and continuous distributions, functions of random variables, sampling distributions, estimation and test of hypotheses.

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SE-207 Modeling and Simulation (2-3-3)

Principles of modeling, linear and nonlinear lumped parameter dynamic models. Introduction to Laplace transform and system analysis. Linearization of nonlinear models. Modeling of Mechanical and Electrical systems. Transfer function and state space models. Laboratory activities include analog and digital simulation of models.

 

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SE-301 Numerical Methods (3-0-3)

Roots of nonlinear equations. Solution of systems of linear and nonlinear algebraic equations. Numerical differentiation and integration. Interpolation, extrapolation, and approximation. Least-squares approximation and regression analysis. Numerical solution of ordinary differential equations. Introduction to error analysis. Engineering case studies.

 

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SE-302 Linear Control Systems (3-3-4)

Linear Systems; time and frequency domain representations; open and closed loop systems; time and frequency domain analysis, stability; root locus; frequency response; compensators, output and state feedback, PID, lag, lead and lead-lag compensators. Design of simple compensators. Laboratory activities include analysis and control of physical processes as well as analog simulation.

 

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SE-303 Operations Research I (3-3-4)

New description : Modeling in Operations Research. Linear Programming : Simplex Method, Duality, Sensitivity Analysis. Network Models : Shortest Path, PERT/CPM, Maximum Flow Problems, Transportation and Assignment Problems. Elements of Queuing Models. Case Studies.

 

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SE-305 Optimization Methods (2-3-3)

Unconstrained optimization; necessary and sufficient conditions for unconstrained minima. Derivative-free algorithm. The steepest descent and Newton algorithms. Conjugate gradient and quasi-Newton methods. Constrained optimization: Karush-Kuhn-Tucker conditions for optimality, algorithms for constrained optimization including SUMT, approximation and methods of feasible directions. Case studies in different engineering disciplines.

 

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SE-311 Digital Systems Design (2-3-3)

Binary arithmetic. Boolean algebra. Boolean functions and their simplification. Implementation of Boolean functions using logic gates. SSI, MSI, and LSI chips. Analysis and design of combinational circuits. Sequential logic: flip-flops, counters and registers. Analysis and design of sequential circuits. Basic elements of digital computers: register-transfer, micro operations, instruction codes, processor organization, arithmetic logic unit.

 

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SE-312 Instrumentation (2-3-3)

General measurement systems; static and dynamic characteristics, loading effects, signals and noise; sensing elements, resistive, inductive, electromagnetic, thermoelectric, elastic, piezoelectric, electromechanical, optical etc.; signal conditioning elements, d.c. and a.c. bridges, compensation by linearization, feedback, operational amplifiers, modulation/demodulation; signal processing elements, microcomputer based instrumentation, I/O devices, interfaces, data display units, examples of measurement systems such as flow, pressure, level, temperatures, etc.

 

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SE-315 Signals & Systems (3-0-3)

Basic models of continuous and discrete-time signals and systems. Basic characteristics of signals (energy, power, peak amplitude). Properties of LTI systems. Review of block diagrams. Signal flow graph representations of LTI systems. Fourier analysis of continuous and discrete-time signals and systems. Basic concepts of signal modulation, signal sampling and reconstruction. Basic properties of Z-transforms and concept of transfer function. Basic random signal analysis. Applications of signals and systems concepts to linear control systems and digital signal processing.

 

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SE-320 Quality Control and Industrial Statistics (3-0-3)

Statistical models for quality assurance and control. Control charts for variables and attributes and their applications in process control. Process capability studies. Quality audits. Operating characteristic curves. Acceptance sampling. Statistical analysis and design of integrated quality control systems and computer applications. Cost of quality and the effects of quality on productivity. Case studies in applied quality assurance and control.

 

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SE-322 Manufacturing Technology (3-3-4)

Manufacturing methods of metals and plastics including metal casting, forming, machining, welding, and plastic processing. Laboratory experiments and demonstrations in material behavior, forming, casting, welding and machining operations, metrology and dimensional control.

 

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SE-323 Methods Engineering (2-3-3)

History of methods design and work measurement. Methods design. Process analysis. Operation analysis. Introduction to human engineering. Standardization. Work measurement. Predetermined motion-time systems. Standard data. Work sampling. Term project.


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SE-325 Engineering Statistics (3-0-3)

Review and Extension of Estimation and Test of Hypothesis and their application in Engineering. Introduction to Planned industrial experiments including Analysis of Variance, Regression and Design of Experiments, Taguchi Arrays and their Application in Quality Control.

 

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SE-401 Computer Control Systems (2-3-3)

Elements of Computer Control Systems, A/D and D/A, Sampling theorem, signal condiioning, anti-alias filters, sensors, actuators. Feedback, feed forward, cascade and ratio controls. DDC. Control implementation with centralized and distributed computer systems. Architecture, Communication, Sequential Control, programmable controllers. Multi-tasking environment, concurrent languages, software engineering, communication protocols, case studies of distributed control systems and programmable controllers.

 

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SE-402 Production Systems and Inventory Control (3-0-3)

Elements of functional organization. Forecasting in production systems. Product and process design considerations. Deterministic and Stochastic Inventory Systems. production scheduling and line balancing. Capacity planning. Material Requirement Planning (MRP). Computer applications in Production Control. Case studies and applications.

 

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SE-405 Stochastic Systems Simulation (2-3-3)

Basic discrete-event simulation modeling, review of basic probability and statistics, selecting input probability distributions, random-number generators, generating random variables, output data analysis for a single system, validation of simulation models. A simulation language is used to stimulate selected industrial and computer models.

 

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SE-417 Microprocessors in Automation Systems (3-3-4)

Microprocessor Architecture; basic microprocessor concepts, timing and sequencing, memory and I/O synchronization, data transfers, arithmetic and logic operations. Software development, assembler source programs, assembler directives and pseudo instructions. Interrupts and DMA; interrupt structure, priority, FIFO buffers, time and DMA. Microprocessor interfaces, parallel and serial interfaces, digital/analog conversion, input/output programming. Case-studies of microprocessor based systems in automation.

 

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SE-418 Industrial Process Control (3-0-3)

Review of processes modeling principles, Mass balance, Energy balance, Models of representative processes, Dynamic response, and Linearization. Process identification using time and frequency domain techniques. Time delay, Smith predictor. Basic and advanced control strategies, e.g. PID, Feedforward, Internal model, and supervisory control. Time domain controller design, Controller tuning. Controller design in the frequency domain. Digital control. Case studies.

 

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SE-421 Operations Research II (3-0-3)

Advanced topics in linear programming: Integer programming, dynamic programming. Introduction to Stochastic Processes. Case studies.

 

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SE-422 Facility Layout and Location (3-0-3)

Introduction to facility planning issues. Material handling. Facility location and layout and computer-aided techniques and packages. Storage and warehousing functions, emphasizing quantitative and simulation techniques.

 

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SE-429 Maintenance Planning and Control (3-0-3)

Maintenance organization, maintenance strategy, forecasting maintenance work, maintenance capacity planning, component replacement decision models, maintenance Measurement and standards, scheduling of maintenance, maintenance material control, quality of maintenance jobs, maintenance productivity, maintenance audit, maintenance management information systems, case studies.

 

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SE-432 Digital Signal Processing (3-0-3)

Discrete-time signals and systems. Z-transform. Discrete-Fourier transform, Fast-Fourier transform. Digital filter design techniques. Effect of parameter and signal quantization. Power spectrum estimation.

 

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SE-435 Control Systems Design (2-3-3)

Basic classical design techniques, i.e. lead/lag, PID, Minor loop, etc. Process identification. Introduction to advanced control strategies. Lab projects will include design and hardware implementation.

 

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SE-436 Introduction to Robust Control (3-0-3)

This course introduces the concepts of uncertainty and Modeling Error in Control System Analysis and Design. Review the basic methods and tools of Classical Control. Introduction to H2, Hoo Optimal Control and (the Structural Singular Value) Analysis and Synthesis.

 

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SE-438 Instrumentation for Process Control (2-3-3)

Introduction to instrumentation and its role in process control. Analog and digital signal conditioning. Thermal, mechanical, optical, sensors. Analog controllers. Digital controllers. Control loop characteristics. Data acquisition.

 

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SE-439 Special Topics in Automation ( - -3)

A course in an area of Automation reflecting current theory and practice.

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SE-443 Human Factors Engineering (2-3-3)

Study of human response into man-machine systems. Study of visual displays as a medium of input. Auditory and tactual displays. Human control of systems. Human/computer interface, forms and CRT design, code design. Applied anthropometry and work space. Environments, illumination, atmospheric conditions and noise. Conducting comparison studies.

 

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SE-447 Decision Making (3-0-3)

Introduction to structuring decision problems with single and multiple criteria under certainty, uncertainty, risk and conflict. Discrete MCDM: MVT, AHP, TOPSIS and interactive methods; Expert choice. Single and sequential decision problems under uncertainty and risks static and dynamic models. Decision problems under conflict : Game theory. Case studies.

 

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SE-448 Sequencing and Scheduling (3-0-3)

Scheduling problems, optimality of schedules, single machine processing, basic results, precedence constraints and efficiency, constructive algorithms for flow-shops and job-shops, dynamic programming approaches, branch and bound methods, integer programming formulations, hard problems and NP-completeness. Heuristic methods: general approaches and worst case bounds, simulated annealing approach.

 

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SE-449 Special Topics in Industrial Engineering & Operations Research ( - -3)

Selected topics in Industrial Engineering and/or Operations Research.

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SE-450 Methodology for Large Scale Systems (3-0-3)

An overview of large scale problems and the framework for Systems Engineering. Graphic tools for Systems Engineering. Interaction matrices and graphs, interpretive structure modeling. Spare matrix and decomposition techniques. Model reduction techniques. Case studies.

 

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SE-461 Computer-Aided Manufacturing and Robotics (2-3-3)

High volume discrete parts production systems. Fundamentals of CAD/CAM. Computers in manufacturing. Computer process monitoring. Systems for manufacturing support. Group technology and integrated manufacturing systems. Case studies for robots in industry. CAD/CAM using computer graphics laboratory.

 

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SE-463 Theory of Stochastic Systems (3-0-3)

Review of basic Probability, Statistical Independence, Conditional Expectation and Characteristic Function. Introduction to Stochastic Processes, Stationarity and Ergodicity. Markov Chains and Poisson Processes. Linear Models of Continuous and Discrete Stochastic Processes. Engineering Applications.

 

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SE-464 Industrial Information Systems (3-3-4)

Design of Industrial Information Systems in both operational and decision-making modes, special attention to the planning and control activities, engineering and production data control, systems requirements, analysis, design and implementation of typical computerized industrial information systems, including: Manufacturing activity planning, Plant monitoring and control, Inventory management, Plant maintenance system. Case studies involving available packages. Students are required to complete a major project.

 

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SE-465 Industrial Safety (3-0-3)

The scope of occupational safety: human safety; environmental safety; setting safety standards; safety administration; legal aspects of industrial safety in the Kingdom.

 

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SE-470 Digital Computing Techniques I (3-0-3)

Background matrix algebra, measuring vectors and matrices, the singular value decomposition, numerical matrix algebra, theory of linear system of equations, the eigenvalue problem. Variational principles and perturbation theory. Numerical solution of Lyapunov and Riccati equations.

 

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SE-475 Digital Computing Techniques II (3-0-3)

Floating-point computation. Numerical solution of ordinary differential equations; initial value and boundary value problems. Stiffness. Numerical solution of partial differential equations: finite differences, applications to the heat conduction. Laplace, and wave equations. Introduction to the finite elements method. The use of numerical software in modeling and digital simulation. Case studies drawn from various engineering disciplines.

 

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SE-480 Reliability and Maintainability (3-0-3)

 

Introduction to reliability engineering, hazard and reliability functions, analyzing reliability data, reliability prediction and modeling, fault tree construction and decision tables, Maintainability, maintenance and availability, reliability improvement.

 

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SE-490 Systems Engineering Senior Project (0-9-3)

A design course that draws upon various components of the undergraduate curriculum. The project typically contains problem definition, analysis, evaluation and selection of alternatives. Real life applications are emphasized where appropriate constraints are considered. Oral presentation and a report are essential for course completion. The work should be supervised by faculty members. Team projects are acceptable wherever appropriate.

 

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All Systems Engineering Courses   (Undergraduate Program )

 

 

 

 

 

Systems Engineering   (SE)

( Graduate Program )

 

 

Courses offering in the first semester 081 ( October 2008 ) :


SE 501 Introduction to Operations Research Models & its Application


The Linear programming problem. The simplex method. The transportation and assignment models. Branch and bound and cutting planes algorithms for Integer programming. Steepest descent, Introduction to unconstrained and constrained nonlinear problem. Dynamic Programming. Introduction to Stochastic processes. Introduction to single server queuing systems. Applications of the above models are emphasized through formulation exercise Case studies, and term projects.

 

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SE 502 Industrial Automation

 
Industrial instrumentation: measurement techniques in industrial processes. Computer data acquisition. NC and CNC machine tools. Computer process interfacing and control. Feedback control systems. Group technology. Flexible manufacturing systems. Automated assembly. Industrial robots. Computer-aided inspection and testing. Automated factories. Case studies

 

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SE 503 Linear Programming and Applications-I

 
Review of linear programming, revised simplex method, product form of the inverse, duality, dual simplex method, primal dual simplex method, sensitivity analysis, parametric programming, bounded variable linear programs, decomposition principle, classical networks, shortest path problem, maximal flow problem, multicommodity networks. Additional topics may be selected from complementarity, fractional programming and computational efficiency of linear programming algorithms. Case studies.

 

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SE 505 Real-Time Computer Systems

 
The course explores in detail the interrelationships between the architecture and systems software of a modern minicomputer: configuration; real-time operating systems; memory management; interactive editor, program scheduling; priority levels; swapping; input/output control; resource management. Real time programming languages.

 

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SE 507 Linear Systems

 
An integrated treatment of continuous linear systems and control theory. Both input/output and state space methods are discussed with more emphasis on state space methods. Topics include: input/output and state space representations of dynamic systems. Canonical forms, transformation, and equivalent systems. Stability/stabilizability, controllability/reachability, and observability/detectability. State feedback controllers. Full and reduced order observer. Output feedback controllers.

 

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SE 508 Advanced Production Systems and Inventory Control

 
Analysis of production and inventory systems, forecasting, single and multi-period deterministic inventory models, stochastic inventory models, deterministic and stochastic production planning, Multistage and dynamic production planning models, MRP systems, Pull, Push and Just-in-Time Systems.

 

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SE 509 Large Scale and Hierarchical Systems

 
Characteristic of large scale systems. Analysis and design procedures. Model aggregation. Model perturbation. Time and frequency domain techniques. System de-composition and multilevel optimization techniques. The maximum principle and Hamilton-Jacobi theory. Linear regulator problem. Singular control. Open loop and closed loop hierarchical control of continuous-time systems. Hierarchical control of discrete-time linear and nonlinear systems.

 

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SE 511 Computer Aided Design

 
Geometric modeling. Engineering Analysis. Design Review and evaluation. Automated drafting. Hardware in CAD. Computer graphics software. Functions of a graphics package. Data base structure and content for CAD/CAM integration. Applications such as (N/C, electronics design, piping, mechanical design, control system).

 

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SE 512 Microprocessor Architecture and Interfacing


Microprocessor architecture. Memory. I/O interface components and their characteristics. Designing Interface circuits. Interfacing to standard buses and peripherals. Interface software design and implementation. Applications.

 

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SE 513 Modeling and System Identification I

 
Fundamentals of stochastic processes; review of modeling from the first principle (energy/mass balance, momentum preservation etc.); process identification from step response, first, second and higher order processes; frequency response identification; correlation methods; least squares identification; determining model orders; model validation; recursive least squares identification; AR, MA modeling of system, linear prediction; application and case studies.

 

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SE 514 Optimal Control

 
Performance measures for dynamic optimal control problems. Variational approach and the maximum principle. Dynamic programming and Hamilton-Jacobi theory. Singular control. Optimal control systems, e.g. minimum time, regulator, servo mechanisms, minimum energy etc. Inter-active numerical techniques for finding optimal trajectories. Case Studies.

 

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SE 515 Distributed Computer Control

 
Distributed control systems configuration. Communications networks. Operator Interface Stations. Control algorithms in distributed control systems. Economic justification of distributed control. Evaluation of distributed computer control systems. Microcomputer control networks. Future trends in distributed computer control.

 

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 SE 516 Microcomputer-Based Measurement Techniques

 
Principles of intelligent measurement devices. Special purpose sensors; installation; maintenance. Analytical instrumentation: gas chromatography; mass spectroscopy; infrared spectroscopy. Calibration. Industrial measurements such as online analysis of process streams; weight; pH meters, engine monitoring and tuning; machine alignment; noise and vibration. Inferential measurement. Estimation of efficiency, wear, fouling, creep.

 

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SE 517 Non-Linear System Theory

 
Introduction to nonlinear systems. Phase plane techniques. describing function approach. Liapunov method. Popov criterion. Hilbert spaces and nonlinear operators. Input/Output feedback theory. Passivity and positivity of nonlinear operators. Circle criterion. Multipliers and the small gain theorem. Robustness of feedback systems. Unbounded operators. Applications.

 

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SE 518 Deterministic Modeling and Simulation

 
Mathematical models and deterministic modeling generalities, model building methodology for differential and difference equations (lumped processes); partial differential equations (distributed processes). Methodology for model information storage and integration. Support languages for simulation. Hardware trends and their impact on simulation. Case studies.

 

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SE 520 Analytical Methods in Facility Location and Layout

 
Application of mathematical programming to the facility location, and layout. Point and area location and layout problems in continuous discrete space are examined.

 

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SE 521 Non-Linear Programming & Applications-I

 
Formulation of engineering problems as nonlinear programs; Optimality conditions for nonlinear programs; Algorithms for unconstrained optimization; algorithms for constrained non-linear program; methods of feasible directions (Sequential unconstrained minimization techniques), comparison of algorithms for nonlinear programs. Case Studies.

 

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SE 522 Advanced Stochastic Simulation

 

Fundamental concepts of mathematical and simulation models; efficient generation of random variates, construction of discrete event simulation models, discussion of available computer languages, variance reduction techniques, Jacknifying and classical methods, output analysis.

 

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SE 523 Forecasting Systems

 

The course covers the nature, scope, and importance of forecasting, with techniques for forecasting and time series analysis. Topics include regression, moving averages, exponential smoothing, correlation and least square technique, analysis of forecast errors, Box-Jenkins models and Bayesian methods in forecasting. The design of forecasting systems will be emphasized with application oriented examples.

 

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SE 524 Digital Signal Processing

 

Review of 1-D time- and frequency-domain representation of signals and systems, including sampling and reconstruction, convolution and correlation, DFT and FFT, z-transforms and random signals. Transformation representation of LTI systems. Digital filter (FIR and IIR) Design and structures. Analysis of finite-length effects in Digital filters. Spectral Analysis, Introduction to multirate DSP. DSP applications and hardware.

 

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SE 525 Network Modeling and Algorithms

 

Modeling with graphs and networks, data structures for network and graphs, shortest path algorithms, properties of the matrix, label setting and label correcting algorithms, spanning tree algorithms, maximum flow algorithms, maximum flow minimum cut theorem, algorithms for the assignment, semi-assignment and the transportation problems, minimum-cost flow algorithms, the simplex method on a graph, out-of-kilter algorithm, embedded networks, constrained network and generalized network, multi-commodity network. Modeling with network includes cases from production, facility location, distribution and inventory and human resource planning.

 

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SE 527 Decision Making

 

Structuring decision problems: single criterion versus multiple criteria, certainty versus risk and uncertainty versus conflict, criteria and attributes, payoffs and losses. Utility for decision making. Decision making with single and multiple criteria under certainty: selected discrete MCDM models. Decision making under risk: decision trees, single and multiple stages. Value of information. Decision making under uncertainty. Decision making under conflict: game theory. Decision support systems. Case studies.

 

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SE 529 Advanced Maintenance Planning & Control

 

Design aspects of maintenance systems, maintenance strategies, maintenance control systems, maintenance planning and scheduling, models of preventive maintenance and condition monitoring, models of the effect of maintenance on production systems, new trends in maintenance strategies and modeling.

 

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SE 530 Computer-Aided Manufacturing

 

Numerical control. Computer control in NC machine tool. Group technology. Computer aided planning, computer integrated production management. Shop floor control and computer process monitoring systems. Computer integrated manufacturing systems. CAD/CAM implementation.

 

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SE 531 Systems Reliability/Maintainability

 

Maintainability, fault trees and failure mode analysis. Combinatorial reliability; series, parallel and r-out-of-n configuration; general computation techniques. Catastrophic failure models: hazard rate models. System reliability: approximation methods and reliability bounds. Repairable systems: methods based on renewal theory, system availability. Reliability models identification and parameter estimation. Design for maintainability.

 

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SE 532 Industrial Robots

 

Basic concepts in robotics. Architecture of an industrial robot. Robot drives and sensors. Computer control of industrial robots. Programming of industrial robots. Intelligent robots. Applications of industrial robots.

 

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SE 533 Advanced Work Measurement and Analysis

 

Design of industrial operations with emphasis on the effective uses of the human body. An examination of the problems of establishing time standards and proposed solutions. Learning curves, fatigue allowances, variations of the MTM system, computerized work measurement systems, staffing problems. Term project on industrial methods design.

 

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SE 534 Advanced Quality Control

 

Statistical methods in the design and analysis of quality control systems: sampling inspection, attribute7s and variables; comparison of sampling plans; control charts; adaptive quality control; total quality control. Machine and process capability studies; organizing for quality; machine case studies/projects with local industries.

 

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SE 535 Design of Experiments

 

A scientific and engineering approach to experimentation and analysis of data. Single-factor experiments; Latin squares etc., factorial experiments. Missing data analysis; nested factorial design; multifactor design; fractional replications. Case studies.

 

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 SE 536 Human Factors Engineering

 

Design of man-machine systems utilizing results from various disciplines including anthropometric data and engineering research. Emphasis is placed on making optimal use of human capabilities. Includes consideration of research techniques in human factors engineering.

 

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SE 537 Adaptive Control

 

General approach to controller design; Adaptive control methods; Model reference Adaptive systems, parametric optimization methods, Liapunov function method, hyperstability and positivity concepts; self-tuning controllers, minimum variance selftuner, explicit and implicit algorithms, pole assignment regulators; variable structure systems, sliding motion, choice of control function, control of phase canonic models. Applications.

 

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SE 539 Systems Safety Engineering

 

A basic methodology course in Occupational Safety and Health. Topics cover a spectrum of contemporary safety and risk management problems drawn from process as well as manufacturing industries. Problems will be handled using methods of Operations Research and Simulation. A project is a part of the course.

 

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SE 541 Queuing Models & Theory-I

 

Queuing Systems; some important random processes, birth-death queuing systems in equilibrium; markovian queues in equilibrium.

 

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SE 543 Stochastic Processes-I

 

Introduction to stochastic process, stationarity, ergodicity, Poisson process, linear models, Markov chains, renewal theory, Markov renewal processes, semi-Markov processes and Applications in queuing and other areas.

 

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SE 548 Sequencing and Scheduling

 

Variety of sequencing and scheduling problems in O.R., job shop and flow shop scheduling, discussion of performance measures, dynamic programming, integer programming, computational complexity and NP-completeness results, discussion of well solved problems, branch and bound methods, variety of heuristic approaches for intractable practical problems, guaranteed accuracy heuristics.

 

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SE 567 Work Physiology

 

An evaluation of various factors affecting human physical performance in industrial environment. Topics include anthropometry, bio-mechanics, energy expenditure, heat stress fatigue.

 

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SE 569 Human Factors in Computing Systems

 

User characteristics, Design of keyboards, Controls, and VDT's; Human factors in personal computers, Computer aided design, Computer-aided manufacturing and Control rooms; Human error in computer systems.

 

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SE 570 Optimization Methods for Engineering Designs

 

Examples of optimization problems in engineering design: flexural systems, stressed systems, mechanical systems, digital filters. Optimality conditions. Single and multivariable unconstrained optimization. Constrained optimization. Survey of global optimization: exact and non-exact methods. Each student is expected to solve an optimal design problem related to his background. .

 

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SE 571 Heuristic Search Methods

 
Examples of combinatorial optimization problems in engineering. Simulated annealing, genetic algorithms, tabu search, evolutionary methods and neural networks. Hybrid methods. Application to large engineering optimization problems. Term project. .

 

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SE 599 Seminar

 

Graduate students working towards either M.S. or Ph.D. degrees, are required to attend the seminars given by faculty, visiting scholars, and fellow graduate students. Additionally each student must present at least one seminar on a timely research topic. Among other things, this course is designed to give the student an overview of research in the department, and a familiarity with the research methodology, journals and professional societies in his discipline. Graded on a Pass or Fail basis.

 


 SE 658 Filtering and Estimation

 

Stochastic state space model; properties of Wiener process; stochastic differential equation; linear optimal filtering and prediction; Kalman filter and Wiener-Hopf filter; fixed lag smoothing and fixed point smoothing; filtering and prediction using stochastic ARMA model; extended Kalman filter; parameter estimation for stochastic dynamic systems; adaptive filtering and prediction.
Prerequisites: SE 416, SE 463, SE 514

SE 659 Advanced Materials Management Analysis of production and inventory systems, deterministic inventory models, stochastic inventory models, deterministic and stochastic production planning, process selection, multistage and dynamic production planning models, modern materials management techniques like Just-in-Time, Kanban etc., single and multiple source models.



 

 

SE 710 Dissertation

 

All Systems Engineering Courses  ( Graduate Program )

 

 

 

Other Courses Offering in First Semester (071) :

College of Engineering Sciences  (CES):

·         Petroleum Engineering (PETE)

·         Chemical Engineering (CHE)

·         Mechanical Engineering (ME)

·         Electrical Engineering    (EE)

·         Civil Engineering (CE)

 

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College of Computer Sciences & Engineering  (CCSE):

·         Computer Engineering  (COE)

·         Systems Engineering   (SE)

·           Information and Computer Science (ICS)

 

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College of Sciences  (CS)

·          Chemistry  (CHEM)

·         Earth Sciences  (ES)

·        Statistics

·        Mathematical  

 

College of Industrial Management  (CIM)

 

·         Management Information System ( MIS )

·          Marketing  ( MKT )

·          Accounting ( Acct )

·         Finance (FIN)

·         Management ( MGT )

·        Economics  ( ECON)

 

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College of Environmental Design  (CED)

·        Architecture (ARC)

·        City & Regional Planning (CRP)

·        Construction Engineering & Management (CEM)

·         Architectural Engineering (ARE)

 

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