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The Internet of Things promises billions of devices endowed with processing, memory and communication capabilities. These processing nodes will be, in effect, simple Systems on Chips (SoCs) and will need to be inexpensive and able to operate under stringent performance, power and area constraints. The [course_title] focuses on building SoCs around Arm Cortex-M0 processors, perfectly suited for IoT needs. Using FPGAs as prototyping platforms, this course explores a typical SoC development process: from creating high-level functional specifications to design, implementation and testing on real FPGA hardware using standard hardware description and software programming languages.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

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Course Credit: Open Culture 

Course Curriculum

module :1
#1 — Introduction to FPGA and Verilog 00:55:00
#2 — RAM on DE2 and Cyclone 00:55:00
#3 — VGA control on DE2 00:56:00
#4 — Diffusion limited agregation in Verilog 00:54:00
#5 — lab 2 audio filtering 00:48:00
#6 — Stack machine and compiler 00:49:00
#7 — DE2 Audio ADC/DAC 00:45:00
#8 — Digital filtering on FPGA 00:38:00
#9 — Digital filtering and lab 3 intro 00:48:00
#10 — lab3 2D wave equation 00:51:00
module : 2
#11 — 2D wave equation on FPGA 00:45:00
#12 — 2D wave eqn and Verilog gen block 00:42:00
#13 — Verilog generate & Mandelbrot set 00:47:00
#14 — Wave eqn and NIOS2 00:47:00
#15 — SOPC builder & NiosII 00:51:00
#16 — NoisII software 00:48:00
#17 — NiosII software and final projects 00:45:00
#18 — Final project discussion 00:44:00
#19 — FPGA floating point hardware 00:51:00
#20 — Project discussion and floating point 00:49:00
module :3
Certification 00:00:00
#21 — Project discussion & multi-NiosII 00:48:00
#22 — Prime numbers and image processing 00:27:00
#23 — Edge detection on FPGA 00:49:00
#24 — Face detection 00:43:00
#25 — Mandelbrot and sound localization 00:51:00
#26 — Sound localization and sound synthesis 00:42:00
#27 — Sound synthesis 00:51:00
#28 — Stack machine VGA interface 00:44:00
Assessment
Submit Your Assignment 00:00:00

Course Reviews

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