All Results
Electrical EngineeringCredits
This course covers the signal and power integrity design for high speed digital circuits and systems. Four types of design approaches at different levels are presented. They include the intuitive approach, the analytical analysis, the numerical simulation and the experimental-based methods. This course offers a framework for understanding the electrical properties of interconnects and materials that apply across the entire hierarchy from on-chip, through the packages, to circuit boards, connectors and cables.
- Prerequisites:
- EE 231. EE 341
- Programs:
Overview of wireless communication and control systems. Characterization and measurements of two-port RF/IF networks. Transmission lines. Smith chart. Scattering parameters. Antenna-preselector-preamplifier interface. Radio wave propagation. Fading. RF transistor amplifiers, oscillators, and mixer/modulator circuits. Multiple access techniques. Transmitter/receiver design considerations. SAW matched filters.
- Prerequisites:
- EE 353 and EE 363
- Programs:
The students will learn and practice their PLC programming knowledge in the Industrial Automation LAB. Learn programming and implementation of servo drive, VFD, Human Machine Interface (HMI) programming, Cognex vision system and controlling in a close loop with Allen Bradley ControlLogix PLC hardware.
This course introduces students the recent advances in real-time embedded systems design. Topics cover real-time scheduling approaches such as clock-driven scheduling and static and dynamic priority driven scheduling, resource handling, timing analysis, inter-task communication and synchronization, real-time operating systems (RTOS), hard and soft real-time systems, distributed real-time systems, concepts and software tools involved in the modeling, design, analysis and verification of real-time systems.
- Prerequisites:
- EE 107, EE 334, EE 395
- Programs:
Machine Learning (ML) is the study of algorithms that learn from data, and it has become pervasive in technology and science. This course is an introductory course on the application of Artificial intelligence (AI) & ML in the field of Electrical and Computer Engineering. The course has three units. The first unit introduces several ML algorithms and Python programming languages. The second unit deals with autonomous driving. The last part deals with AI & ML-based wireless network design.
- Prerequisites:
- EE 341, EE 353
- Programs:
Variable
This class provides students pursuing a minor in Global Solutions in Engineering and Technology with an opportunity to explore a set of topics related to achieving success in advance of and following an international experience (internship, study abroad, etc.). Speakers will include faculty, graduate students, visiting researchers and industry members as well as student participants. Returning students will be required to participate in mentoring of students preparing for their international experience and provide written and/or oral presentations of various topics during the semester. This course is required both before and after participation in the international experience (min. 2 cr.)
Variable
Varied topics in Electrical and Computer Engineering. May be repeated as topics change.
- Prerequisites:
- to be determined by course topic
Variable
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This course covers the fundamentals of mobile robotic modeling, control, sensing and navigation planning. Frame coordinate systems and transformations are introduced along with physics driven dynamic differential continuous as well as discrete difference models. Algorithms associated with controller synthesis applied to path following based on sensor feedback are derived. The course also introduces electrical and mechanical implementation concepts in mobile robotic system design. In addition to the lecture, thecourse includes a laboratory component that involves the design and construction of robotic hardware and the development of associated software to test various robotic algorithms on real robots.
Overview of accounting and finance and their interactions with engineering. Lectures include the development and analysis of financial statements, time value of money, decision making tools, cost of capital, depreciation, project analysis and payback, replacement analysis, and other engineering decision making tools.
Fundamentals of RF, microwave, and optical communication systems. Advances information theory. Digital modulation techniques. Phase-lock loop receivers and frequency synthesizers. Characterization of digital transmission systems. Equalization. Synchronization. Coding. Data compression. Nonlinear system analysis. Amplitude and phase distortion. AM-PM conversation. Intermodulation and cross-modulation. Advanced spread spectrum systems.
Vision (whether in humans or robots) is fundamentally a computational process. Visual processes for machines must be able to deliver the kinds of capabilities that humans have: scene recognition, motion processing, navigational abilities, and so forth. This course will begin by examining some of the elementary concepts in robot¿s vision. Subprocesses to be examined include edge detection, methods for obtaining shape information from images, object detection, space reconstruction, and Multiview integration. The student will also be exposed to unsolved problems in these topics, the workload consists of interesting reading, programming, and projects
- Programs:
A study of finite-state machine design, hardware description language, processor datapath design, principles of instruction execution, processor control design, instruction pipelining, cache memory, memory management, and memory system design.
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The features, data rate, frequency range, and operation of several wireless networking protocols such as Wi-Fi, Low Energy Bluetooth, Near Field Communication, Radio frequency Identifier (RFID), Threads, and ZigBee that can be used to implement Internet of Things (IoT) are introduced. The electrical, functional, and procedural specifications of Wi-Fi are then examined in detail. The programming and data transfer using the hardware Wi-Fi kit are carried out to demonstrate the versatility of this protocol.
Develops design and analysis techniques for continuous and discrete time control systems, including pole placement, state estimation, and optimal control.
Develops design and analysis techniques for discrete signals and systems via Z-transforms, implementation of FIR and IIR filters. The various concepts will be introduced by the use of general and special purpose hardware and software for digital signal processing.
Power generation, transmission and consumption concepts, electrical grid modeling, transmission line modeling, electric network power flow and stability, fault tolerance and fault recovery, economic dispatch, synchronous machines, renewable energy sources and grid interfacing.
Principles, design and analysis of electrical power conversion and control systems, including the use of software tools for modeling, simulation and analysis of power electronic systems.
Introduction to theory and techniques of integrated circuit fabrication processes, oxidation, photolithography, etching, diffusion of impurities, ion implantation, epitaxy, metallization, material characterization techniques, and VLSI process integration, their design, and simulation by SUPREM. Must be taken concurrently with EE 580.
Principles of electromagnetic radiation, antenna parameters, dipoles, antenna arrays, long wire antennas, Microwave antennas, Mechanisms of radiowave propagation, scattering by rain, sea water propagation, guided wave propagation, periodic structures, transmission lines, Microwave millimeter wave amplifiers and oscillators, MIC & MMIC technology.
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