SYE 101 INTRODUCTION TO SYSTEMS ENGINEERING    (1-0-2) 2: Definition and developent of Systems Engineering. Basic Systems Engineering concepts. Steps of the system design process. Introduction to mathematical modelling and an overview of Operations Research models. Introduction to basic topics such as; engineering economics, quality control, production systems, project management and supporting all the subjects with related software in the computer lab.

SYE 216 COST ENGINEERING (2-2-0)3: Principles of accounting and cost accounting systems, financial reporting, product costing techniques. Quantifying alternative investment projects, cost-benefit analysis, depreciation, financial models including inflation. (Prerequisite : ECON 201)

SYE 222 DETERMINISTIC MODELS IN OPERATIONS RESEARCH (3-2-0)4: Linear programming and extensions: transportation and assignment problems, introductory integer programming, deterministic model building in different application areas, network models, minimum cost network flows, shortest path, maximum flow problems. Course contents are supported by computer programs. (Prerequisite: MATH 221 )

SYE 242 APPLIED STATISTICS (3-2-0)4: Descriptive statistics, random sampling, sampling distributions,  point estimation, confidence intervals, hypothesis testing, goodness-of-fit tests, tests for independence, linear regression and correlation, statistical package applications. (Prerequisite: ES 233) 

SYE 323 PROBABILISTIC MODELS IN OPERATIONS RESEARCH (3-2-0)4: Review of probability theory, Markov chains, Poisson Processes, queuing and reliability models. (Prerequisite: SYE 222, ES 233)

SYE 328 PROJECT MANAGEMENT AND NETWORK THEORY (2-2-0)3: Minimum cost network flows, maximal flow, shortest path, traveling salesman problems; emphasis on applications in industrial and service sectors, generalized networks. Project management includes topics such as CPM, PERT, time-cost trade off, resource constrained project scheduling and financial analysis of projects. Project management topics are computer supported. (Prerequisite: SYE 222)

SYE 344 SIMULATION MODELING  (2-0-2)3: Discrete event simulation, model development, statistical design and analysis of simulation experiments, variance reduction, random variety generation, Monte Carlo simulation. Course contents are supported by simulation packages. (Prerequisite: SYE 222, SYE 242)

SYE 346 MANAGEMENT INFORMATION SYSTEMS (2-2-0)3: Information systems projects, systems requirements structured analysis, design issues, prototype development and implementation. (Prerequisite: ES 112)

SYE 353 LINEAR CONTROL SYSTEMS (3-0-0)3: Introduction to Linear Systems theory. Mathematical modelling of Physical Dynamic systems. Review of differential equations. Convolution and Laplace transformation. Dynamic system analysis. Block representation. Feedback control theory. Transient and steady state response of LTI systems. Stability analysis. Root locus technique and analysis. State space representation of LTI systems. Controllability and Observability concept. (Prerequisite: MATH 241 )

SYE 356 SIGNAL PROCESSING (3-0-0)3: The aim of this course is to provide an introduction to linear systems and signal processing for students of systems engineering. In the course, both continuous-time and discrete-time systems and signals will be covered, emphasis being on discrete-time systems and signals and digital filters.  The course content is as follows: Introduction to Linear Systems, and Signals; Fourier Series and Fourier Transform; The z-transform; System Response in Time-Domain; Convolution; System Stability. An Introduction to Digital Signal Processing: Sampling Theorem; Discrete-Time Fourier Transform and Discrete Fourier Transform; Correlation; IIR and FIR Filters; Some Applications. (Prerequisite: SYE 353[concurrent] )

SYE 361 PRODUCTION SYSTEMS DESIGN (3-0-2)4: Analysis and design of production systems, including topics in work measurement and design, man-machine systems, facilities layout and location and materials handling. Design of automated and semi-automated systems including automated transfer, assembly lines, group technology, flexible manufacturing systems, automated storage and retrieval systems. The course contents are supported by animated facility layout packages. (Prerequisite: ES 233, MATH 221)

SYE 365 THERMODYNAMICS (2-0-2)3 : This course covers open and closed systems, their properties, states and changes of states, cycles, thermodynamic surfaces, state equations, work, heat and quasi-equilibrium processes, first law of thermodynamics, internal energy, enthalpy and specific heat, second law of thermodynamics, entropy.

SYE 371 DIGITAL SYSTEMS DESIGN (3-2-0)4: Introduction to computer architecture and microcomputers. Signal sampling and reconstruction. Z-transforms and inverse z-ransforms. Unit impulse response of a system. FIR and IIR systems. Digital open and closed loop systems. System time response characteristics. Stability analysis. Design of digital controllers. PLC ladder logic programming techniques. Digital design and application experiments in the Control Labs In.. (Prerequisite: MATH 241)

SYE 403 SYSTEMS DESIGN AND CONTROL (2-0-2)3: The aim in this course is to teach a set of selected system design and control approaches from a systems and industrial engineering perspective. The course is consisted of two parts. In Part I, modeling, analysis, design, and control approaches based on Macro-to-Micro Approach are covered. The coverage includes both deterministic and stochastic systems. In Part II, overviews and applications related to the following topics will be covered: System Dynamics, Monte Carlo Modeling and Simulation, State Transition Matrix Models, General System Theory and Cybernetics, and Organizational Theory and Management Cybernetics. Some case studies will be discussed in the class in order to demonstrate the applications of the methodologies and techniques covered. Students will be expected to work on class projects and present them at the end of the semester.    (Prerequisite: SYE 323, SYE 353)

SYE 432 DECISION THEORY (3-0-0)3 : Decision problem formulation, goals and objectives. Consideration of multiple objectives under certain and uncertain conditions. Bayesian approach, risk analysis, fuzzy situations, measurement of attribute importance, utility theory, linear multi-objective programming and goal programming. Utility theory is supported by AHP computer package. (Prerequisite: SYE 222, SYE 242)

SYE 446 QUALITY CONTROL (2-2-0)3: A statistical approach to manufacturing quality control, managerial implications and responsibilities in implementing the statistical approach, construction and interpretation of various control charts, graphical methods, specifications, tolerance limits, process capability indices, acceptance sampling. (Prerequisite: SYE 242)

SYE 451 CONTROL I (3-0-0)3: Review of LTI systems. PD,PI and PID controller design based on root-locus technique. Frequency domain analysis. Bode and Nyquist diagrams. Phase-Lead and Lag controller design based on Bode analysis. Review of some special cases such as bumpless transfer, sensitivity analysis and Smith predictor. Controller design and application experiments in the Control Labs. (Prerequisite: SYE 353)

SYE 452 CONTROL II (3-0-0)3: State space representation of Dynamic systems. Canonical forms and their relative merits. System response analysis. Homogeneous solution and finding matrix exponential fundamental matrix solution, Laplace transformation, similarity transformation and Sylvester’s formula.  Nonhomogeneous solution. State variable feedback (or Pole Placement) design. Ackermann’s formula. Full state and reduced order observer design.  Optimal control. Presentation of term assignment of related control topics. (Prerequisite: SYE 451)

SYE 473 ENGINEERING SYSTEMS ANALYSIS (3-0-0) 3: General look to engineering systems other than electrical systems such as mechanical, hydraulic, thermal systems. System modeling, applying electrical circuit solutions to engineering systems, distributed systems, process control.

SYE 492 ENGINEERING PROJECT (1-0-4)3: Investigation and report on a special project under surveillance of a faculty advisor. (Prerequisite: Senior standing)

 

SYE 302 DATABASE MANAGEMENT (3-0-0)3: The structure of the database management systems, relational database theory, 4^th generation database languages,  commercial database systems and basic techniques for data communication.

SYE 307 OBJECT ORIENTED  LANGUAGES (3-0-0)3: Visual Basic.Net data types, constants, variables, static and dynamic variables, mathematical  applications, mathematical functions, control statements, loop structures, data input and output boxes ,working  with windows  forms, properties, methots, events, control objects, array structures,visual basic.net procedures , strings, GDI  technology, Visual Basic.Net   functions, object oriented language programming, file management.

SYE 311 MARKETING MANAGEMENT (3-0-0)3: Marketing, concepts of collective work and strategic planning, measurement and forecasting of market demand, selection of target markets, marketing strategies.

SYE 312 INTRODUCTION TO TECHNOLOGY MANAGEMENT (3-0-0)3: Integrating technology and strategy. Design and evolution of technology strategies. Technology infrastructure. Technology transfers.

SYE 313 INTRODUCTION TO GRAPH THEORY (3-0-0)3: Paths, circuits, trees, planarity and duality, coloring graphs, digraph and covering problems, matroid theory. (Prerequisite: MATH 154)

SYE 321 MEASUREMENT THEORY (3-0-0)3  : Basic definitions. Principles of measurements. Measurement theory. Units and standards. Error theory. Electrical measurements. Transducers for non-electrical quantities. Electronic measurement systems and data acquisition.

SYE 351 SYSTEMS MODELING (3-0-0)3: An introduction to the general systems theory, time and frequency domain response and feedback control. Application  of simulation models in decision making situations such as planning and economic forecasting.

SYE 354 RISK ANALYSIS  (3-0-0)3: The course is concerned with system reliability and maintenance, fault tree and event analysis. Risk-based decisions using multiple test results are discussed. A brief review of decision analysis and Monte Carlo simulation is provided.

SYE 362 PRODUCTION AND SERVICE SYSTEMS   (3-0-0)3: Formulation, modeling, planning and control of production and service systems at different levels of organization. Aggregate planning. Inventory control. Materials requirements planning. Course emphasis is on real life application projects and computerized educational production planning tools. (Prerequisite: SYE 222)

SYE 363 MANUFACTURING PROCESSES (3-0-0)3: Surveys of manufacturing processes including casting, forming, machining and assembly. Process capabilities and limitations. Design for manufacturing.

SYE 364 SCHEDULING THEORY (3-0-0)3  :Classification of scheduling models, performance criteria, concept of active schedules, single machine, slow shop and job-shop problems, parallel processor problems, constructive algorithms in scheduling, combinatorial optimization approaches. (Prerequisite: SYE 222)

SYE 402 ANALYTICAL APPROACHES TO SYSTEMS MODELING (3-0-0)3: This course is designed to teach the fundamentals of dynamic systems modeling of engineering systems, socio-technical, and socio-economic systems. The specific goals of the course are to cover: (1) modeling techniques of major types of dynamic engineering, socio-technical and socio-economic systems; (2) solution methods for the resultant linear or nonlinear systems; (3) determination and interpretation of system time response behavior characteristics.   Topics covered are: Introduction to Modeling; Building Models  of Dynamic Processes; Black Box Modeling; AR, ARX, ARMA, and ARMAX Models; Digital Simulation; System Identification; Some Applications from Different Disciplines. (Prerequisite: SYE 323 , SYE353)

SYE 404 CUSTOMER RELATIONSHIP MANAGEMENT (CRM) (3-0-0)3: Introduction to CRM. Evaluation of CRM products and strategies. The various roles CRM plays in businesses. The range of CRM applications and uses. The differences between CRM and business intelligence. Case studies of visionary companies.

SYE 405 INDUSTRIAL SIMULATION (3-0-0)3  :Modeling and analysis of industrial systems using discrete event simulation.  Design and statistical analysis of simulation experiments. Application of simulation methodology to real-life problems in manufacturing, production, and service areas.

SYE 413 ADVANCED PROJECT MANAGEMENT (3-0-0)3: Project management concepts such as project structure, project scope, and its elements are introduced. Time and cost dimensions in project scheduling are discussed. Network analysis techniques such as CPM, PERT and GERT are represented in this course. (Prerequisite: SYE 222, SYE 242)

SYE 421 COMPUTATIONAL OPERATIONS RESEARCH (3-0-0)3 : Introductory dynamic programming, numerical methods for nonlinear programs, introduction to combinatorial optimization, compu-search methods including probabilistic search, simulated annealing and genetic algorithms. The course also includes recent advances in the area (Prerequisite: SYE 242, SYE 323)

SYE 422 MODELING TECHNIQUES (3-0-0)3: Operations research models including manufacturing models, network models, distribution models, economic models, nonlinear models and integer models. Mathematical aspects of these models and problem difficulty are  discussed as well as various solution approaches. (Prerequisite: SYE 222, SYE 323)

SYE 424 SPECIAL TOPICS IN OPERATIONS RESEARCH (3-0-0)3:  Nonlinear programming, random search techniques, genetic algorithms, Lagrangian Relaxation, multi-objective functions, fuzzy logic linear programming. (Prerequisite: SYE 222)

SYE 440 INTRODUCTION TO RELIABILITY THEORY (3-0-0)3: Systems reliability, reliability as a function of time, life time testing, estimation of reliability, software reliability, experimental design of life time testing, derating, failure-mode-effect analysis, equipment survival. (Prerequisite: ES 233)

SYE 441 ENGINEERING EXPERIMENTAL DESIGN (3-0-0)3: Two-sample tests, one-way analysis of variance, randomized block designs, factorial designs, two-way anova, 2^k factorial designs, random effects, mixed effects, simultaneous confidence intervals, EMS, power computations,statistical package applications.  (Prerequisite: SYE 242) 

SYE 444 INTELLIGENCE DECISION SUPPORT SYSTEMS (3-0-0)3: Managerial decision support systems and their components, knowledge representation and acquisition, development of expert systems, AI technology involved in hybrid decision support systems. (Prerequisite: Senior standing)

SYE 447 FORECASTING (3-0-0)3: Naive methods, moving average methods, exponential smoothing (simple, Holt’s, Winters’), classical time series decomposition, regression methods, Box-Jenkins ARIMA models, statistical package applications.  (Prerequisite:SYE 242) 

SYE 449 LOGISTICS SYSTEMS PLANNING AND DESIGN (3-0-0)3 :Major concepts in the planning and design of logistics systems. Logistics network design, warehouse design and operation, planning and managing long and short haul transportation.  Emphasis on OR models that address the operational, tactical and strategic decisions in logistics and the solution methodologies employed in their solution (Prerequisite: SYE 222)

SYE 454 INTELLIGENT SYSTEMS (3-0-0)3: Review of fundamental intelligent system structures. Data mining basics. Decision trees, Neural networks, Fuzzy expert systems. Artificial Intelligence. Knowledge and uncertainty Management. Case discussions and application examples.

SYE 455  INDUSTRIAL AUTOMATION AND INSTRUMENTATION (3-0-0)3: Introduction to Industrial Plant Automation hierarchy. Layers and their insights. Measurement of physical quantities. Instruments and Actuators structure and standards. Instrument and controller networks, network topologies. Advanced control topics. Overall system reliability, availability and safety. Industrial Automation projects and major milestones. Student term assignments including classroom presentation. (Prerequisite: SYE 353)

SYE 456 INTRODUCTION TO INTELLIGENT CONTROL (3-0-0)3: Introduction to the fundamental techniques of intelligent control; Hierarchical Control Systems, Fuzzy Control Systems, Expert Control Systems, Neuro-control Systems and Adaptive Control Systems. Analysis and Design of various intelligent control architectures. Application examples; mechatronics and robotics

SYE 457 SPECIAL TOPICS IN CONTROL (3-0-0)3: Review of state space analysis of dynamic systems. Time and frequency domain analysis and design based on state equations. Optimal control and LQR design. Introduction to Fuzzy logic, Neural Networks and GA, and their application to control systems.

SYE 459 CASE STUDIES IN CONTROL(3-0-0)3: Design and analysis of control systems. System analysis and optimal control concepts and application projects about these concepts.

SYE 462 ADVANCED PRODUCTION MANAGEMENT AND CONTROL(3-0-0)3: An integrated system’s view of production planning and control and implications of JIT TQC, and MRP II. Hierarchical production planning, concepts and modules of MRP II, the scheduling subsystem, measures of effectiveness. (Prerequisite: SYE 362)

SYE 463 COMPUTER INTEGRATED MANUFACTURING SYSTEMS (2-2-0)3: Capacity management, automation in manufacturing systems, flexible manufacturing systems, CAD/CAM integration, numerically controlled production, robotics. (Prerequisite: ES 112)

SYE 465 NEW PRODUCT DEVELOPMENT (3-0-0)3: Product design and manufacturing methods, systems approaches to NPD, impacts of design technologies on NPD, outsourcing, organizational learning.

SYE 482 INTRODUCTION TO COLLABORATIVE SYSTEMS (3-0-0)3: Introducing the topic of collaborative systems. Knowledge management. Intranet and internet based groupware and workflow. Process analysis and modeling. Implementation of collaborative systems.