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Electrical and Computer Engineering |
ECE 6501 | Topics in Electrical and Computer Engineering |
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| Low Power Wireless Transceivers for IoT |
Fall 2020 19198 | 001 | Lecture (3 Units) | Open | 11 / 18 (11 / 18) | Steven Bowers | TuTh 2:00pm - 3:15pm | Web-Based Course |
| This course will explore both the hardware and communication standards for current low power wireless transceivers such as Bluetooth and Zigbee as well as ongoing research into the low power transceivers of tomorrow that are being developed in research labs across the world today. A major emphisis of this course will be in learning how to efficiently find, read and critique academic research papers to enable you to become an independent learner. |
| Autonomous Mobile Robots |
Website 11919 | 002 | Lecture (3 Units) | Open | 10 / 14 (10 / 14) | Nicola Bezzo | We 12:30pm - 1:45pm | Web-Based Course |
| Nicola Bezzo | Tu 5:00pm - 6:15pm | Web-Based Course |
| Have you ever wonder how a google car or a Mars rover work? Or how a drone can fly autonomously and track an object on the ground? ...Then, this is the class for you! |
| RF Circuit Design & Wireless Systems |
Fall 2020 11690 | 003 | Lecture (3 Units) | Open | 5 / 20 (5 / 20) | Robert Weikle | MoWe 10:00am - 10:50am | Web-Based Course |
| Semiconductor Devices: Design & Characterization |
Fall 2020 12401 | 004 | Lecture (3 Units) | Open | 9 / 15 (9 / 15) | Nikhil Shukla | MoWe 9:30am - 10:45am | Web-Based Course |
| Convex Optimization for Engineering & Data Science |
| THIS CLASS WILL BE FULLY ONLINE. |
Fall 2020 19202 | 005 | Lecture (3 Units) | Open | 14 / 20 (14 / 20) | Jundong Li | TuTh 3:30pm - 4:45pm | Web-Based Course |
| Geometry of Data |
Fall 2020 12440 | 006 | Lecture (3 Units) | Open | 12 / 30 (12 / 30) | Tom Fletcher | TuTh 2:00pm - 3:15pm | Web-Based Course |
| Advanced Embedded Computing Systems |
| Real-time Embedded Systems |
Website 19205 | 007 | Lecture (3 Units) | Open | 7 / 20 (7 / 20) | Homa Alemzadeh | TuTh 11:00am - 12:15pm | Web-Based Course |
| This course provides the foundational knowledge and hands-on experience in design and validation of embedded computing systems, with a focus on embedded C programming and real-time operating systems for ARMĀ® Cortex-M Microcontrollers. Topics include: embedded system architectures, hardware software interfacing, memory management, multitasking, interrupt handling, and real-time scheduling. |
| Matrix Analysis in Engineering and Science |
Syllabus 19322 | 009 | Lecture (3 Units) | Open | 23 / 30 (23 / 30) | Cong Shen | TuTh 9:30am - 10:45am | Web-Based Course |
| The course provides an in-depth understanding of matrix analysis concepts, algorithms, and applications, including eigenvalues and eigenvectors, linear transformation, similarity transformations, commonly used factorizations, positive definite and semidefinite matrices, and positive and non-negative matrices. In particular, we will illustrate these concepts with specific applications in machine learning, control, signal processing, and optimization. |