|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
4.00 Credits
basic knowledge of assembly languages, computer organization, and logic circuits; basic knowledge of data structure and algorithms; programming skills in C/C++. This course introduces students to a unified view of hardware and software in embedded systems. The lectures will survey a comprehensive array of techniques including system specification languages, embedded computer architecture, real-time operating systems, hardware-software codesign and co-verification techniques. The lectures will be complemented by assignments and projects that involve system design, analysis, optimization, and verification. 4 cr.
-
4.00 Credits
ENG EC 441. Basic delay and blocking models for computer communications: M/M/I queue, Jackson networks, and loss networks. Analysis of MAC protocols. Flow control for data traffic. TCP and active queuing mechanisms for congestion control. Traffic shaping and network calculus. Packet switch architecture and scheduling algorithms. Routing algorithms. Flow assignments and fairness. 4 cr.
-
4.00 Credits
ENG EC 312 and ENG EC 450; ENG EC 441 is desirable; C programming experience required. Considers the evolution of embedded network sensing systems with the introduction of wireless network connectivity. Key themes are computing optimized for resource constrained (cost, energy, memory, and storage space) applications and sensing interfaces to connect to the physical world. Studies current technology for networked embedded network sensors including evolving protocol standards. A laboratory component of the course introduces students to the unique characteristics of distributed sensor motes including programming, reliable communication, sensing modalities, calibration, and application development. Meets with ENG MN 544; students may not take both for credit. 4 cr.
-
4.00 Credits
ENG EC 311 and ENG EC 312 or consent of instructor. Content includes use of HDL (Verilog) for design, synthesis and simulation, and principles of register transfer level (RTL). Programmable logic, such as field programmable gate array (FPGA) devices, has become a major component of digital design. In this class the students learn how to write HDL models that can be automatically synthesized into integrated circuits such as FPGA. Laboratory and homework exercises include writing HDL models of combinational and sequential circuits, synthesizing models, performing simulation, and fitting to an FPGA by using automatic place and route. The course has lab orientation and is based on a sequence of Verilog design examples. 4 cr.
-
4.00 Credits
CAS PY 313. Introduction to optics, wave optics, Fourier optics and holography, absorption, dispersion. Polarization, anisotropic media, and crystal optics. Guided-wave and fiber optics. Elements of photon optics. Laboratory experiments: interference; diffraction and spatial filtering; polarizers, retarders, and liquid-crystal displays; fiber-optic communication links. 4 cr.
-
4.00 Credits
CAS MA 193. Introduction to codes for error detection and correction in communication and computation channels, linear algebra over finite fields, bounds, Shannon's Theorem, perfect and quasi-perfect codes, probability of error detection, Hamming, BCH, MDS, Reed-Solomon, and nonlinear codes. Application of codes to error detection/correction in communication channels, computer memories, processors, and multiprocessor systems. Data compression and data reconciliation by error-detecting or error-correcting codes. 4 cr.
-
4.00 Credits
ENG EC 410, ENG EC 415 and ENG EC 560; or consent of instructor. Introduction to fiber optics; components, concepts, and systems design techniques required for planning, design, and installation of fiber-optic communication systems. Single- and multimode LED and semiconductor lasers, detectors, connectors and splicers, terminal and repeater electronics, wavelength division multiplexing optical amplifiers and solitons, and systems architecture for point-to-point and local area networks. Laboratory work on fiber and electronic measurements. 4 cr.
-
3.00 Credits
differential equations and a scientific programming language; grad prereq: CAS MA 226, CAS PY 405, and ENG ME 420 or ENG ME 421; or their equivalents, or consent of instructor. Introduction to the upper atmosphere and ionosphere. The dynamic, electrodynamic, radiative, and chemical processes occurring in the atmosphere from ground level to near-space are developed to establish the conditions found in the upper-atmospheric/ionospheric region. Recent offerings have included numerical simulation of the ionospheric electron density profile. Numerical experiments that change the solar input and neutral atmospheric density, composition, winds, and temperature are then run to study the response of the ionosphere to these factors that control the ionosphere. Recommended for graduate students and advanced undergraduate students in engineering, astronomy, and physics and those with interests in environmental topics. 4 cr.
-
4.00 Credits
ENG EC 455. This course will cover the theory and practice of optical fiber sensors. This course will meet twice a week for two hours. In addition, there will be a three-hour laboratory each week. The focus of the course will be on laboratories involving various types of optical fiber sensors. Grades will be based on laboratory reports as well as a significant laboratory project. 4 cr.
-
3.00 Credits
Prereq: senior or graduate standing in ENG, PY, CH, MA, or CS. Introduction to subsurface imaging using electromagnetic, optical, X-ray, and acoustic waves. Transverse and axial imaging using localized probes (confocal scanning, time of flight, and interferometric techniques). Multiview tomographic imaging: computed axial tomography, diffraction tomography, diffuse optical tomography, electrical impedance tomography, and magnetic resonance imaging. Image reconstruction and inverse problems. Hyperspectral and multisensor imaging. 4 cr.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|