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191 - 200 of 203 results for: EE

EE 390: Special Studies or Projects in Electrical Engineering

Independent work under the direction of a faculty member. Individual or team activities may involve lab experimentation, design of devices or systems, or directed reading. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

EE 391: Special Studies and Reports in Electrical Engineering

Independent work under the direction of a faculty member; written report or written examination required. Letter grade given on the basis of the report; if not appropriate, student should enroll in 390. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

EE 392AA: Multi-User Data Transmission

EE 392AA focuses on state-of-the-art data communication system theory and design, particularly systems with multiple users and dimensions (MIMO over parallel antennas or wires). The focus is on multi-user physical-layer channels like multiple access, broadcast, and interference channels, their capacity regions and designs to achieve any points therein. Examples include the latest cellular, Wi-Fi, wireline, cable, and other systems that stress fundamental transmission limits. Topics include system design, particularly physical-layer modulation/coding analysis and optimization through various artificial intelligence optimization methods for multi-dimensional channels. Included are methods to design and adapt both transmitter and receiver to variable channels. Prerequisites: EE 278, linear algebra, EE 279 or EE 379, or instructor consent.
Last offered: Spring 2023 | Units: 3

EE 392B: Industrial AI

The seminar features guest lectures from the industry. The Industrial AI (I-AI) computing applications are at the center of on-going digital transformation. Known as the Fourth Industrial Revolution, or Industry 4.0, this is a multi-trillion-dollar transformation of economy. The I-AI is related to Internet of Things (IoT), where 'things' include man-made systems and business processes: industrial, transportation, operations and support, and supply chains. I-AI applications are mission critical with large cost of error compared to AI apps for the Internet of People. The lecturers from technology (e.g., computing) companies, consultancies, AI vendors, OEMs, and end users of the I-AI will discuss business and 'big picture' technical issues. Example vertical industries are energy, transportation, oil and gas, data centers, and manufacturing.
Last offered: Spring 2025 | Units: 1 | Repeatable for credit

EE 392C: Differentiated Memory Systems

Memory is the major bottleneck in computers today. 20 years ago, the practical limits of clock speeds forced processors to move to multicore. The bandwidth and capacity limits of low-latency, random-access memory are catalyzing a similarly large shift towards a heterogeneous collection of different memory technologies, optimized for different uses. These Differentiated Memory Systems will require us to revisit and re-examine computing at all levels, from the design of new memory technologies to high-level algorithms. This course is a research seminar that seeks to answer the following three questions: (1) what new memory technologies will we need, how do we compose them in systems, and what caching and consistency mechanisms do they need? (2) how will low-level software present heterogeneous memories to applications and manage them as a resource? (3) how can applications and algorithms guide the composition of heterogeneous memories, and how will they evolve to best use them? Students will read and discuss published research papers and complete an original research project. Open to PhD and masters students as well as advanced undergraduate students.
Terms: Spr | Units: 3

EE 392D: Wireless and Mobile Sensing Systems

This is a graduate-level course on mobile computing and ubiquitous sensing. The course covers a broad range of topics, including wireless sensing, localization, wireless communication, energy harvesting, RFID, mobile health sensing, and the Internet of Things for the environment. Students will read research papers, participate in group discussions, and complete a final project in small groups. The course is open to all Ph.D., masters, and advanced undergraduate students. Students should have a solid understanding of the basics of wireless communication and embedded systems.
Terms: Win | Units: 3

EE 392F: Large-Scale Convex Optimization: Algorithms and Analyses via Monotone Operators

This course presents a unified analysis of large-scale convex optimization algorithms through the abstraction of monotone operators. The topics include monotone operators, primal-dual methods, randomized coordinate update methods, ADMM-type methods, maximality, duality, acceleration, scaled relative graphs, and distributed and decentralized optimization
Last offered: Spring 2023 | Units: 3

EE 400: Thesis and Thesis Research

Limited to candidates for the degree of Engineer or Ph.D.May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

EE 402A: Topics in International Technology Management (EALC 402A, EASTASN 402A)

The theme for Autumn 2025 is: "Innovations in AI from Asia." Distinguished guest speakers and panels discuss leading edge business and technology innovations coming from Asian companies and research institutions. Planned topics include: small language models, the evolution of AI agents and agentic AI, edge computing of AI, energy reduction in AI processing, and innovative approaches to AI for specific applications. While technical approaches will be introduced, most content should be accessible with only a general IT user background.
Terms: Aut | Units: 1 | Repeatable for credit
Instructors: Dasher, R. (PI)

EE 402T: Entrepreneurship in Asian High Tech Industries (EALC 402T, EASTASN 402T)

Distinctive patterns and challenges of entrepreneurship in Asia; update of business and technology issues in the creation and growth of start-up companies in major Asian economies. Distinguished speakers from industry, government, and academia. Open to graduate and undergraduate students at all levels.
Terms: Spr | Units: 1 | Repeatable for credit
Instructors: Dasher, R. (PI)
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