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3.59
3.63
3.22
Spring 2025
An introduction to the fundamental scientific principles governing information science and engineering. Topics include: definition of information; entropy; information representation in analog and digital forms; information transmission; spectrum and bandwidth; information transformation including data compression, filtering, encryption, and error correction; information storage and display; and large-scale information systems. Technologies for implementing information functions.
4.71
1.47
3.95
Spring 2025
An applied physics course in electricity and magnetism, with emphasis on the technologies derived from them. An integrated lab component will provide team-based, hands-on examples and reviews of key concepts. Calculus 3 (Multivariable) may be taken concurrently; however, students should be proficient with vectors and calculus, including the chain rule and trigonometric functions. Prerequisite: PHYS 1425 or PHYS 1420, and APMA 1110
4.00
4.00
3.62
Spring 2025
This course introduces electrical engineering theory and its application to circuits containing active and passive circuit elements. Content includes fundamental concepts such as voltage, current, power, energy and Ohm's Law as well as circuit analysis techniques including node-voltage and mesh-current based on circuit laws and theorems such as Kirchhoff Laws, source superposition, and equivalent circuits. Prerequisite: Must have completed (APMA 1110 or MATH 1320) AND (ENGR 1624 or ENGR 1410 or ENGR 2595 Topic Engineering Foundations I or ENGR 1010)
4.12
2.75
3.35
Spring 2025
Introduction to analysis and design of digital systems from switches to gates to components to CPU. Analysis and design of combinational and sequential components including multiplexers and demultiplexers, decoders and encoders, comparators, adders and ALU, registers and register files, counters and timers, RTL design, culminating in the design of a simple programmable processor. 10-12 studio design activities. Cross-listed as CS 2330.
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3.56
Spring 2025
Learn about and experiment with machine learning algorithms using Python. Applications include image classification, removing noise from images, and linear regression. Students will collect and interpret data, learn machine learning theory, build systems-level thinking skills required to strategize how to break the problem down into various functions, and to implement, test and document those functions. Prerequisite: CS 111X
4.00
4.00
3.56
Spring 2025
Studies the modeling, analysis, design, computer simulation, and measurement of electrical circuits which contain non-linear devices such as junction diodes and field effect transistors. Includes the gain and frequency response of linear amplifiers, power supplies, and other practical electronic circuits. This course is taught in a studio style with mixed lecture and lab. Pre or Corequisite: APMA 2130 and ECE 2700 AND Prerequisite: (ECE 2300 or ECE 2501 Topic Applied Circuits (link 15599)
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3.07
Spring 2025
Develops tools for analyzing signals and systems in continuous and discrete-time, for controls, communications, signal processing and machine learning. Primary concepts are the representation of signals and linear systems in the time domain (convolution, differential equations, state-space representation) and in the frequency domain (Fourier/Laplace analysis) including practical programming examples. Pre or Coreq: APMA 2130 AND Prerequisite (ECE 2300 or ECE 2501 Topic Applied Circuits (link 15599))
4.06
2.50
3.42
Spring 2025
Analyzes the basics of band theory and atomic structure; charge-transport in solids; current voltage characteristics of semiconductor devices, including p-n junction diodes, bipolar transistors, Schottky diodes, and insulated-gate field-effect transistors; electron emission; and superconductive devices. Prerequisite: ECE 2300.
3.17
3.25
3.39
Spring 2025
Analyzes the principles of electromechanical energy conversion; three-phase circuit analysis; magnetic circuits and nonlinearity; transformers; electromagnetic sensing devices; DC, synchronous, stepper, and induction machines; equivalent circuit models; power electronic control of machines, switching regulators, Class D amplification. Laboratory, computer, and design exercises complement coverage of fundamental principles. Prerequisite: ECE 2660 or ECE 2600, ECE 3209 or PHYS 2415 or ECE 2200
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3.87
Spring 2025
This lab provides practical exposure and continuation of the topics covered in the lecture sections of ECE 3250. Topics include principles of measurement and analysis using computerized instrumentation. Co-requisite ECE 3250
4.53
3.20
3.82
Spring 2025
An embedded computer is designed to efficiently interact directly with its physical environment. This lab-based course explores architecture and interface issues relating to the design, evaluation and implementation of embedded systems . Topics include hardware and software organization, power management, digital and analog I/O devices, memory systems, timing and interrupts. Prerequisites: (ECE 2300 or ECE 2630) AND ECE 2330 AND CS 2130 all with a grade of a C- or better.
3.33
1.50
3.87
Spring 2025
A third-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.
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3.76
Spring 2025
A third-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.
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3.21
Spring 2025
This class discusses solid state devices that are used for renewable energy application. While we will provide a general overview of most new and interesting technologies via lectures, discussions, and research presentations, we will focus on the detailed technical aspects of few devices namely: solar cells, thermionic devices, thermoelectric devices, solar thermal (CSPs), and batteries.
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3.04
Spring 2025
Analyzes the measurement and behavior of high-frequency circuits and components; equivalent circuit models for lumped elements; measurement of standing waves, power, and frequency; use of vector network analyzers and spectrum analyzers; and computer-aided design, fabrication, and characterization of microstrip circuits. Corequisite: ECE 5260 or instructor permission.
3.78
5.00
3.44
Spring 2025
Digital CMOS circuit design and analysis: combinational circuits, sequential circuits, and memory. Second order circuit issues. Global design issues: clocking and interconnect. Use of Cadence CAD tools. Team design of a significant VLSI chip including layout and implementation. Prerequisites: ECE 2330 and (ECE 2660 or ECE 2600)
3.58
4.00
3.19
Spring 2025
Introduces computer architecture and provides a foundation for the design of complex synchronous digital devices, focusing on: 1) Established approaches of computer architecture, 2) Techniques for managing complexity at the register transfer level, and 3) Tools for digital hardware description, simulation, and synthesis. Includes laboratory exercises. Prerequisites: ECE 2330 and CS 2130
3.63
3.50
3.22
Spring 2025
A first course in communication networks for upper-level undergraduate students. Topics include the design of modern communication networks; point-to-point and broadcast network solutions; advanced issues such as Gigabit networks; ATM networks; and real-time communications. Cross-listed as CS 4457. Prerequisite: CS 3330 or ECE 3430
2.22
3.33
3.62
Spring 2025
A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.
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3.76
Spring 2025
A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.
3.67
2.00
3.83
Spring 2025
A lab-based course that provides a hands-on way to learn about new developments in electrical and computer engineering fields. Topics include technologies or application areas that relate to ongoing design and research activities of faculty and students.
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3.24
Spring 2025
Topics include the design and analysis of analog integrated circuits; feedback amplifier analysis and design, including stability, compensation, and offset-correction; layout and floor-planning issues associated with mixed-signal IC design; selected applications of analog circuits such as A/D and D/A converters, references, and comparators; extensive use of CAD tools for design entry, simulation, and layout; and the creation of an analog integrated circuit design project. Prerequisites: ECE 3660 or instructor permission.
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3.42
Spring 2025
An introduction to digital signal processing. Topics include discrete-time signals and systems, application of z-transforms, the discrete-time Fourier transform, sampling, digital filter design, the discrete Fourier transform, the fast Fourier transform, quantization effects and nonlinear filters.Prerequisite: ECE 2700 or ECE 3750
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Spring 2025
This is a survey course in the theory and technology of modern wireless communication systems, exemplified in cellular telephony, paging, microwave distribution systems, wireless networks, and even garage door openers. Wireless technology is inherently interdisciplinary, and the course seeks to serve the interests of a variety of students.
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3.16
Spring 2025
Design and analysis of passive microwave circuits. Topics include transmission lines, electromagnetic field theory, waveguides, microwave network analysis and signal flow graphs, impedance matching and tuning, resonators, power dividers and directional couplers, and microwave filters. Prerequisite: ECE 3209 or instructor permission.
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3.74
Spring 2025
A first-level graduate/advanced undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests. Prerequisite: Instructor permission.
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Spring 2025
Explores measurement and behavior of high-frequency circuits and components. Equivalent circuit models for lumped elements. Measurement of standing waves, power, and frequency. Use of vector network analyzers and spectrum analyzers. Computer-aided design, fabrication, and characterization of microstrip circuits. Corequisite: ECE 5260 or instructor permission.
5.00
5.00
3.64
Spring 2025
Digital CMOS circuit design and analysis: combinational circuits, sequential circuits, and memory. Second order circuit issues. Global design issues: clocking and interconnect. Use of Cadence CAD tools. Semester long team research project investigating new areas in circuit design. Prerequisites: ECE 2630, ECE 2330.
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3.54
Spring 2025
Integration of computer organization concepts such as data flow, instruction interpretation, memory systems, interfacing, and microprogramming with practical and systematic digital design methods such as behavioral versus structural descriptions, divide-and-conquer, hierarchical conceptual levels, trade-offs, iteration, and postponement of detail. Design exercises are accomplished using a hardware description language and simulation. Prerequisite by topic: Digital Logic Design (ECE 2330 or equivalent), Introductory Computer Architecture (ECE 3330 or equivalent), Assembly Language Programming.
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3.91
Spring 2025
Interactions between robots and humans are influenced by form, function and expectations. Quantitative techniques evaluate performance of specific tasks and functions. Qualitative techniques are used to evaluate the interaction and to understand expectations and perceptions of the human side of the interaction. Students use humanoid robots to develop and evaluate interactions within a specific application context.
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3.71
Spring 2025
A first-level graduate course covering a topic not normally covered in the graduate course offerings. The topic will usually reflect new developments in the electrical and computer engineering field. Offering is based on student and faculty interests. Prerequisite: Instructor permission.
5.00
2.00
3.83
Spring 2025
A first-level graduate course covering a topic not normally covered in the graduate course offerings. The topic will usually reflect new developments in the electrical and computer engineering field. Offering is based on student and faculty interests. Prerequisite: Instructor permission.
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3.52
Spring 2025
Design and analysis of analog integrated circuits. Topics include feedback amplifier analysis and design including stability, compensation, and offset-correction; layout and floor-planning issues associated with mixed-signal IC design; selected applications of analog circuits such as A/D and D/A converters, references, and comparators; and extensive use of CAD tools for design entry, simulation, and layout. Includes an analog integrated circuit design project. Prerequisite: ECE 3103 and 3632, or equivalent.
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3.72
Spring 2025
A first graduate course in digital signal processing. Topics include discrete-time signals and systems, application of z-transforms, the discrete-time Fourier transform, sampling, digital filter design, the discrete Fourier transform, the fast Fourier transform, quantization effects and nonlinear filters. Additional topics can include signal compression and multi-resolution processing.
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3.42
Spring 2025
This is an entry-level course on wireless communications, especially we will discuss how machine learning impacts the design of wireless systems. The goal is to teach fundamental and core techniques that enable physical layer wireless communications.
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Spring 2025
A guided teaching experience for Ph.D. students, with selected teaching assignments and directed performance evaluation, under the supervision of a faculty member, as a part of Ph.D. training designed for students' development of independent teaching skills.
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Spring 2025
Formal record of student commitment to master's thesis research under the guidance of a faculty advisor. May be repeated as necessary.
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Spring 2025
For doctoral students.
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Spring 2025
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.
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