technifyed

Dartmouth College via Coursera

C Programming for Hardware

Overview

This course gives you the opportunity to extend your C programming experience into firmware development, writing code that talks straight to a processor. Building, running, and debugging real code, you'll discover how a variable and an address in the memory map are the same idea seen from two directions.

Along the way, you'll explore processor, bus, and memory architecture; learn how C data types map to physical memory; and safely interface with memory-mapped registers. You'll manipulate individual bits to drive real peripherals, write interrupt-safe code, and master pointers, type casting, and function-pointer callbacks.

Whether you're reinforcing skills or meeting these ideas for the first time, the course's hands-on, self-assessed structure turns understanding into lasting ability. Each lab runs on the same emulated silicon you'd use in practice, so the behavior you observe is the behavior the chip produces. By the end, you'll be ready to pick up an unfamiliar microcontroller, open its reference manual, and start writing real, well-organized code against its hardware.

Syllabus 6

  1. Course Welcome 40 minutes
  2. Technical Overview, Processor Architecture and ISA 5.5 hours
  3. Memory Architecture & Data Representation 7 hours
  4. Advanced Data Pointers and Memory Manipulation 6 hours
  5. Modular Code Design and Event Driven Programming 4.5 hours
  6. Course Completion and Next Steps 40 minutes

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • From Dartmouth College, a well-regarded name.
  • Self-paced: start any time.
  • A clear syllabus (6 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Jason Dahlstrom

Dartmouth College is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

Similar courses

Compare these

Massachusetts Institute of Technology · YouTube

MIT 6.01SC Introduction to EECS I

Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…

Free video27 videos, 17 hours

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Massachusetts Institute of Technology · YouTube

MIT 6.832 Underactuated Robotics, Spring 2009

Instructor: Russell Tedrake See the complete course at: http://ocw.mit.edu/6-832s09 Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which invol…

Free video23 videos, 28 hours

Harvard University · edX

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Free to audit10 weeks, 3 - 6 hours per week

Harvard University · edX

Data Science: R Basics

4.4273 ratings

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Free to audit8 weeks, 2 - 3 hours per week

Harvard University · edX

CS50's Web Programming with Python and JavaScript

This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

Free to audit12 weeks, 6 - 14 hours per week

Enter your email and the official page opens. Phone is optional.