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Electrical and Computer Engineering |
ECE 4501 Special Topics in Electrical and Computer Engineering |
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| Digital Image Processing |
11672 | 001 | Lecture (3) | Open | 5 / 14 | Miaomiao Zhang | MoWe 3:30pm - 4:45pm | Web-Based Course |
| Electronic Instrumentation |
12676 | 002 | IND (3) | Permission | 0 / 30 | Harry Powell | TBA | TBA |
| Low Power Wireless Transceivers for IoT |
19197 | 003 | Lecture (3) | Open | 14 / 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. |
| Advanced Embedded Computing Systems |
| Real-time Embedded Systems |
19204 | 004 | Lecture (3) | Open | 10 / 15 | 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 |
19321 | 005 | Lecture (3) | Open | 3 / 10 | 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. |