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Course Criteria
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3.00 Credits
Survey of real time, sampled data systems and embedded applications, e.g. digital controllers, diagnostic systems. Principles and characteristics of embedded micro-processors: processor/device interfaces; time critical I/O handling; data communications in embedded environments. Overview of embedded operating systems, cross-development techniques & tools. Design of real time systems. The software life Cycle. Embedded specification and design techniques. Real Time Kernels. Multi-tasking. Real TIme Memory management.. Performance Analysis. Reliability & Fault Tolerance. Project oriented course. (YR)
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3.00 Credits
Review of probability and random variables. Introduction to stochastic processes; stationarity, ergodicity; auto correlation and cross correlation, linear systems with random inputs, spectral analysis, Wiener filtering, Kalman filtering. Applications to smoothing, parameters estimation, prediction, system identification.
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3.00 Credits
Introduction to linear spaces and operators; mathematical description of multiple input-output systems; state variables and state transition matrix; controllability and observability and its application to irreducible realization of transfer function matrices; state variable estimation; controller synthesis by state feedback; stability of linear systems; analysis of composite systems.
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3.00 Credits
Mathematical representation of digital control systems; z-transform and difference equations; classical and state space methods of analysis and design; direct digital control of industrial processes.
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3.00 Credits
Mechatronics, as an engineering discipline, is the synergistic combination of mechanical engineering, electrical engineering, control engineering, and computer science, all integrated through the design process. The course is to establish a working familiarity with the key engineering elements in the design and control of electro-mechanical systems in general and automotive systems in particular. The key engineering elements include microprocessor technology, electronics, sensors and actuators, data communication and interface, control algorithms, and mechanisms of machine elements. The course is to introduce a design methodology in an integrated system environment through case studies and design projects. (AY).
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3.00 Credits
Nonlinearities in control systems; phase plane analysis; isoclines, equilibrium points, limit cycles, optimum systems; heuristic methods; harmonic balance, describing function, frequency response and jump phenomena, oscillations in relay systems; state space; optimum relay controls; stability; Liapunov's method.
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3.00 Credits
Using interactive graphics in process system design. Modeling machine and process dynamics. Simulating machine and process operations. Computer control of machines and processes. Machine sensing and diagnostic systems.
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3.00 Credits
A study of data communications and network architecture fundamentals. Topics include signals and data transmission, modulation, encoding, and public carriers and network architectures; data link network layer, and transport layer protocols; case studies of existing and emerging networks; wireless, embedded, and conventional wired systems. Three lectures hours per week.
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3.00 Credits
This course introduces the principles and architectures of modern wireless communications including channel models, modulation, coding and advances signal processing and baseband algorithms. The most dominant wireless communications systems, protocols and networks are discussed. Three lecture hours per week.
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3.00 Credits
The course introduces concepts in protocols and architecture of high-speed and advanced networks with an emphasis on Internet, ATM networks, wireless local area networks, cellular systems and wireless sensor networks. Three lecture hours per week.
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