- University Catalog
- Optical code division multiple access pdf printer
- Electrical Engineering
- Code Division Multiple Access (CDMA)
- Computer Networks
- Electrical and Computer Engineering (ECE)
- Simply Easy Learning
- Optical Code Division Multiple Access Communication Networks
- Explanation of Course Numbers
- Undergraduate Degrees
- Optical Encoder
- Theory and Applications
Introduction to Electrical and Computer Engineering I. Basic and emerging concepts in electrical and computer engineering; professional literature and resources; technical writing, speaking, and presentation skills. Practical experiments and projects.
Fall, Every Year. Spring, Every Year. C Programming for Electrical and Computer Engineering.
Circuit elements, techniques of circuit analysis; circuit theorems; operational amplifiers; RLC circuits; natural and step responses; series, parallel and resonant circuits; sinusoidal steady-state analysis; phasers; power calculations; transformers; two-port circuits.
CAD tools used in circuit projects. Fall and spring, Every Year. Solid state devices used in electronic engineering; physics of their operation; application to electronic circuits. Application of these elements in power supplies and in linear amplifiers. A detailed view of the electrical and computer engineering professions. Departmental and other speakers discuss facets of ECE, engineering education, and other department, college, or university topics of interest.
Boolean algebra; combinational and sequential circuits; minimization techniques; design and build logic subsystems, such as decoders, multiplexers, adders, and multipliers.
Optical code division multiple access pdf printer
Use of CAD tools. Circuit analysis using Laplace transforms; transfer functions; poles and zeroes; Bode diagrams; effects of feedback on circuits; convolution; Fourier series and Fourier transforms; design of filters; CAD tools used in design of projects.
Design, testing, and measurement of analog electronic circuits. Design and testing of logic gates, regenerative logic circuits, and semiconductor memory circuits. Consult the instructor if uncertain whether this requirement has been met. Lecture 3 hours , laboratory 3 hours.
Introduction to Digital Signal Processing. Signal representation, sampling, discrete-time signals, z-transforms and spectra, difference equations; Fourier analysis; discrete Fourier transform, IIR and FIR filter design. Introduction to digital filters and digital image processing, time- and frequency-domain techniques for signal feature analysis; spectral estimation and analysis; autoregressive modeling; detection and estimation of periodicity; digital images as two-dimensional signals; 2-D Fourier transform.
Code Division Multiple Access (CDMA)
Offered as arranged. Summer, Every Year.
Fourier series and Fourier transform in relation to signal analysis. Convolution and linear filtering. Signal bandwidth and sampling theorem. Analog modulation. Random variables and stochastic processes; power spectrum. Pulse code modulation, DPCM and delta modulation. Experiments supporting communications systems. Fourier analysis and Fourier transform.
Sampling theorem, filtering, and aliasing.
Delta modulation. Binary phase shift keying BPSK. Quadrature phase shift keying QPSK. Offered As Arranged. Structure and operation of a digital computer.
Design of computer arithmetic units, data and instruction paths. Microprocessors: Software, Hardware, and Interfacing. Hands-on laboratory experience using laboratory facilities is an integral part of this course. Microcontrollers and their application in embedded systems. Students perform laboratory experiments and a final project to develop a microcontroller-based embedded system.
Introduction to Parallel and Distributed Computer Systems. Parallel Computing versus Distributed Computing Systems.
Electrical and Computer Engineering (ECE)
Computer networks versus interconnection networks of parallel systems; high throughput versus low latency computing systems. Performance analyses and evaluation of parallel and distributed systems.
Shared memory and distributed systems programming with introduction to OpenMP, pthreads, message passing, Hadoob and MapReduce. Synchronization issues and methods. Introduction to the design and analyses of parallel algorithms.
Simply Easy Learning
Performance Analysis and Program Optimizations. Introduction to GPUs and Heterogeneous systems and programming. After an introduction to the formal design process, the student plans, refines, designs, and constructs a one-year project.
Includes a significant engagement in writing as a form of critical inquiry and scholarly expression to satisfy the WID requirement. Study of VLSI circuit design including PMOS and NMOS transistor analysis, switch and gate logic design, understanding of semiconductor fabrication processes and design rules, CAD system, speed and power considerations, scaling of transistors to the nano-scale, and designing with highly variable process parameters.
Micro- and Nanofabrication Techniques. Introduction to the basic fabrication principles at the micro and nano scale; students practice and fabricate simple devices. VLSI testing, fault models, design for testability techniques, scan path, built-in self-test. Sensors, Networks, and Applications. Sensor technologies for measurement of mechanical, optical, magnetic, electromagnetic, thermal, and acoustic signals; interface electronic components, calibration, noise, and nonlinearity in addition to main modern sensors and sensor networks.
Optical Code Division Multiple Access Communication Networks
May be taken for graduate credit; additional coursework is required. Nanoscience and technology and nanoelectronics. Basic nanofabrication steps, and techniques to build devices such as carbon nanotubes, Graphene device, and other 2D nanoelectronic devices. Tools for performing design and characterizations of nanodevices, including scanning electron microscopy SEM , atomic force microscopy AFM , and transmission electron microscope TEM.
Experiments in transmission lines, network analyzer measurements of scattering parameters, microwave systems, fiber-optic systems and antennas.
Introduction to the characteristics of laser and optical systems. Introduction to Computer Networks. Experiments in support of the analysis and design of communications systems with emphasis on network protocols.
Explanation of Course Numbers
Time and frequency division multiplexing, flow control, automatic repeat request, interfacing, token ring, token bus, multiple access for Ethernet, routing, packet switching. Concepts of opto-electronic devices; light-matter-interaction; absorption; device details and applications: laser, photodetector, modulators, optical cavity, waveguides and optical fibers; device and link considerations, including energy-per-bit, modulation speed, and nano fabrication; plasmonics and nanophotonics; industry perspective.
Spring, even years. Advanced topics in computer architecture and design; instruction-level parallelism, thread-level parallelism, memory, multithreading, and storage systems. Three-phase and single-phase AC rotating machines and transformers, DC machines, rotating machines as circuit elements, power semiconductor converters.
Renewable generation, utility grid integration, smart grid applications. Experiments in support of the analysis and design of electrical power systems. Measurements of the characteristics of devices to generate electric power.
Rectification and inversion processes for power systems and drives. AC power grids, transmission line parameters, load flow, economic dispatch voltage, frequency and power flow control.
Voltage, current and power limitations. Fault analysis and stability considerations. Effect of independent power producers and variable energy sources and energy storage.
The application of electronics to energy conversion; principles of operation, analysis, and control of circuits; methods of solving power electronic circuits and finding the steady-state values of important quantities; deriving the linear model of the studied power electronic circuits and designing controllers for these devices. A general knowledge of electric circuits and linear control theory is required.
Restricted to undergraduate students. Mathematical models of linear systems; steady-state and transient analyses; root locus and frequency response methods; synthesis of linear feedback control systems.
Experiments in support of control theory, involving the use of the digital computer for process control in real time. Design of feedback and compensation with computer implementation. Digital simulation of linear and nonlinear systems. Modeling and analysis of robot designs. Kinematics of mechanical linkages, structures, actuators, transmissions, and sensors. Design of robot control systems, computer programming, and vision systems.
Theory and Applications
Use of artificial intelligence. Current industrial applications and limitations of robotic systems.
Experiments illustrating basic principles and programming of robots and other automated machinery. Topic to be announced in the Schedule of Classes. Fall and spring. Applied research and experimentation projects, as arranged. Prerequisite: junior or senior status.