| Course Code | Course Name | Credits | Hours |
|---|---|---|---|
| 3604169 | Advanced FPGA Design | 3.0 | 3 |
| Description | This course teaches FPGA programming, hardware system design, and how to implement and accelerate Deep Learning Algorithms on FPGA. The syllabus is shown below: 1. Xilinx & Vivado IDE 2. High-level Synthesis (HLS) & SystemC 3. Finite Impulse Response (FIR) Filters 4. Discrete Fourier Transform & Fast Fourier Transform 5. Matrix Multiplication 6. Prefix Sum and Histogram 7. Video Systems 8. Deep Learning Implementation on FPGA 9. Pruning & Quantization 10. Object Detection on FPGA | ||