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来自 University of California San Diego 的课程

Internet of Things: Sensing and Actuation From Devices

85 个评分

University of California San Diego

Internet of Things: Sensing and Actuation From Devices

85 个评分

Have you wondered how information from physical devices in the real world gets communicated to Smartphone processors? Do you want to make informed design decisions about sampling frequencies and bit-width requirements for various kinds of sensors? Do you want to gain expertise to affect the real world with actuators such as stepper motors, LEDs and generate notifications? In this course, you will learn to interface common sensors and actuators to the DragonBoard™ 410c hardware. You will then develop software to acquire sensory data, process the data and actuate stepper motors, LEDs, etc. for use in mobile-enabled products. Along the way, you’ll learn to apply both analog-to-digital and digital-to-analog conversion concepts. Learning Goals: After completing this course, you will be able to: 1. Estimate sampling frequency and bit-width required for different sensors. 2. Program GPIOs (general purpose input/output pins) to enable communication between the DragonBoard 410c and common sensors. 3. Write data acquisition code for sensors such as passive and active infrared (IR) sensors, microphones, cameras, GPS, accelerometers, ultrasonic sensors, etc. 4. Write applications that process sensor data and take specific actions, such as stepper motors, LED matrices for digital signage and gaming, etc.

从本节课中

Terminology/Cheat Sheet (Beginner)

In this course, you will see a lot of new words and acronyms you might not be familiar with. If you feel comfortable with your knowledge of tech terminology, feel free to skip these lessons since they will not affect the overall integrity of the course. If you see something that you want to know a little more about, feel free to watch the video to gain insight on some basic concepts. We do expect you to know the majority of this material before going into the next module, we would recommend going through the lessons as a quick brush up.

Introduction to Lesson 31:04

Breadboards5:52

A look back at Lesson 31:02

与讲师见面

Ganz Chockalingam
Principal Engineer
Qualcomm Institute of Calit2, UC, San Diego
Harinath Garudadri
Associate Research Scientist
Qualcomm Institute of Calit2, UC, San Diego

Hello, everyone.

And in this video, we're going to be going over what Python is and

how it's beneficial.

So let's jump right into it.

The main difference between Python and the other two big languages, Java and

C, is that it's a different syntax.

It's general purpose.

It's easier to read.

Simpler, nice syntax.

And the biggest difference you'll notice is between Java and Python or C and

Python is that Python is fully based on indentations.

So you don't need to worry about parentheses and brackets.

>> Yeah, braces and whatnot.

>> Braces and all that, yeah.

In Python, everything is based on indentation, so it makes it nicer to read.

And also, it's a very high level language, interpreted, dynamic type system.

And if you remember, if you're familiar with Java,

you have to print out a statement.

You have to type in something like System.out.print or something like that.

And in C, out printf or cout or something like that.

In Python, it's much more clear.

You can just say print and whatever you want to print.

So print's right there.

It's much more nicer to read, and anyone can understand it when reading the code.

>> And by dynamic type system, we mean, like, in Java, you have to say,

like, int, int x so you know it's an int.

But in Python you say x equals.

So you don't need to worry about is it an int, is it a character, is it a string.

>> It'll typecast it for you.

>> Right, handles it nice.

So Python also supports multiple programming paradigms.

So probably we've explained what a programming paradigm is.

>> Yeah, can you please?

>> Yeah. [LAUGH] A programming paradigm is just

a way that a program or a programming language sort of handles code.

So it allows us to write or

structure computer programs in a certain way.

So, like, Java, you need to have objects,

which means you have to have classes, inheritance and whatnot, while, say,

in C it's more procedural, where you would have to just make a bunch of function or

routine calls to perform the math calculations and whatnot.

Just like Java, there's tons of libraries available out there.

Python has a very good library for machine learning.

>> It has a nice community, so

there's a lot of developers making open source libraries out there.

>> There's tons of documentation.

Lots of reading material.

Many resources.

>> And I kinda want to add with whatever Randy was saying a few seconds ago about

its paradigms, Python is considered kind of a hybrid.

So it doesn't necessarily have full object-oriented capability, but

at the same time, you can mimic or

you can emulate those object-oriented styles by having a struct kind of thing.

You can emulate it.

And you might not necessarily have the typical general object-oriented, but

you can emulate it, so there are those functionalities.

And we will teach you how to do those things in this course also.

>> Yeah, for the first course, we'll be using a Python IDE called IDLE 3, and

that's what we're mainly use.

But that's what Robert and Eric mostly used for

messing around with, say, the GPIOs, with the LED processing.

>> And Robert and Eric will be showing you how to do lots of Python programming and

interfacing with sensors, so stay tuned for that.

>> So stick around, we'll see you next time.

>> Yeah.

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