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Course Criteria
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25.00 Credits
This course presents digital signal processing (DSP) fundamentals and their practical applications through laboratory assignments. Topics include signal representations in continuous-time and discrete-time domains, discrete-time linear systems and their properties, the Fourier transform and fast Fourier transform (FFT) algorithm, the Z-transform, and digital filter design. This course includes laboratory experiments designed to reinforce DSP theory and to expose students to modern digital signal processing techniques, e.g., creating special audio effects, power spectrum estimation, encoding and decoding touch-tone signals, synthesizing musical instruments, frequency selective filtering, and image processing. Students gain a solid theoretical background in DSP and master hands-on applications using modern development tools. Prerequisite: Math 231 and Engineering 212L. 1.25 units, Lecture
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0.00 Credits
This course introduces basic topics in modern communication theory, including characterization of signals in the time and frequency domains, modulation theory, information coding, and digital data transmission. Topics focus on modulation techniques, including amplitude modulation, frequency modulation, and pulse code modulation. Basic probability theory and statistics are presented to provide the tools necessary for design applications, for instance when binary data is transmitted over noisy channels. Computer programming in a high-level language (e.g., MATLAB) is used to solve assignment problems. Prerequisite: Engineering 212L or permission of instructor. 1.00 units, Lecture
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25.00 Credits
Introductory semiconductor physics leading to the development of p-n junction theory. Development and application of device models necessary for the analysis and design of integrated circuits. Applications include digital circuits based on bipolar transistors and CMOS devices with particular emphasis on VLSI design considerations. Lecture and laboratory. Prerequisite: Engineering 212L or permission of instructor. 1.25 units, Lecture
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25.00 Credits
A survey of digital and analog semiconductor circuits, focusing on the application of metal-oxide semiconductor and bipolar junction transistors in electronic design. The laboratory provides design experience with digital and analog circuits. Lecture and laboratory. Prerequisite: Engineering 221L and 307L. 1.25 units, Lecture
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0.00 Credits
Automatic control systems with sensors and feedback loops are ubiquitous in modern designs. The emergence of powerful microcontrollers in recent decades makes control system implementation much easier and encourages more innovation. This course provides a broad coverage of control system theory for engineering majors. Essential mathematical tools to study control systems are reviewed. Course topics include mathematical modeling, solutions to system design specifics, performance analysis, state variable and transition matrix, compensator design using root-locus, and PID controller design. Analysis is focused on linear control systems and broad applications. Linear system modeling is broadly applied to a variety of engineering systems. MATLAB and Simulink are used in assignments and team projects. Prerequisite: Mathematics 231 and Engineering 212L. 1.00 units, Lecture
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3.00 Credits
This introductory course uses an integrative and cross-disciplinary approach to survey basic principles and modern theories and methods in several important areas of neural engineering. Course topics include: neural prosthetics, neural stimulation, neurophysiology, neural signal detection, and analysis and computational neural networks. The practicalities of the emerging technology of brain-computer interface as well as other research topics in neural engineering will be discussed. Students will also have the opportunity to perform hands-on computer simulation and modeling of neural circuits and systems. Prerequisite: Open to all junior and senior life science and physical science majors. 1.00 units, Seminar
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25.00 Credits
A hands-on study of design and implementation of microprocessor based systems. Students learn the steps of translating application specifics to design criteria, choosing essential hardware components, creating system schematics, wiring complete microprocessor systems, and developing application software. This course introduces major topics in computer system architecture, anatomy of CPU function, system bus structure, memory mapping, interrupt and latency, real-time control and multi-tasking. Assembly and C/C++ language programming is introduced and extensively used in laboratory assignments. Lectures and laboratory experiments are tightly coordinated to help students become familiar with various application aspects and design challenges concerning the embedded system. Prerequisite: Engineering 221L. 1.25 units, Lecture
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25.00 Credits
Solid mechanics of deformable bodies, focusing on the internal effects of externally applied loads. Topics include elasticity theory, stress, strain and Young's modulus, axial, torsional, and shear stresses, Mohr's circle, analysis of beams, shafts, and columns subjected to axial, torsional, and combined loading. Students will also use computational analysis in the design of various combined loaded structures. Lecture and laboratory. Prerequisite: Engineering 225. 1.25 units, Lecture
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0.00 Credits
Theoretical and applied classical engineering thermodynamics. Concepts presented include the first and second laws, properties of ideal and real substances, gas mixtures, closed and open systems, work and heat, reversible and irreversible processes, various thermodynamic cycles, and chemical reactions. Students will also complete a design and optimization of a power cycle as an individual project. Prerequisite: Physics 131L. 1.00 units, Lecture
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1.00 Credits
Techniques of drawing required in architectural practice, including floor plans, perspectives, and shading techniques. 1.00 units, Lecture
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