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Internet of Things
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8. Brave New World - Internet of Things

The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, city governments worldwide are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and more accessible with technology and more connected.

Subject:
Career and Technical Education
Electronic Technology
Material Type:
Unit of Study
Provider:
CUNY Academic Works
Provider Set:
Medgar Evers College
Author:
Rhonda S. Binda
Date Added:
10/30/2020
Intro to Physical Computing / Internet of Things
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This course introduces students to the fundamental concepts of physical computing systems through hands-on, real-life applications. Physical computing forms the basis of smart devices, wearables like smart watches, e-textiles / fashion, IoT (Internet of Things) devices, and hardware start-up

This course teaches students to design electronic devices that interact with the physical world by building circuits and developing software algorithms that run on a microcontroller. These devices will also be connected to the internet so they can send sensor data to dashboards and be remotely operated from a computer or mobile device.

This course is designed specifically for university undergraduate students from all majors. It presumes no in-depth knowledge of physics or math nor prior experience with electronics. The only expected prerequisite knowledge is introductory experience with procedural programming (i.e. variables, functions, loops).

Subject:
Applied Science
Career and Technical Education
Computer Science
Electronic Technology
Engineering
Material Type:
Activity/Lab
Assessment
Full Course
Homework/Assignment
Lecture
Lesson
Syllabus
Author:
Rob Parke
Date Added:
07/21/2020
Thingfully — Lesson Plans for the Internet of Things
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CC BY-NC-ND
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Thingfully is a growing platform of lesson plans for the Internet of Things.

Subject:
Applied Science
Arts and Humanities
Business and Communication
Career and Technical Education
Education
English Language Arts
History
Life Science
Mathematics
Physical Science
Social Science
Material Type:
Activity/Lab
Lesson Plan
Date Added:
05/12/2015
Unix Tools: Data, Software and Production Engineering
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CC BY-NC-SA
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Processing information is the hallmark of all modern organizations, which are increasingly digital: absorbing, processing and generating information is a key element of their business.
Being able to interact flexibly and efficiently with the underlying data and software systems is an indispensable skill. Knowledge of the Unix shell and its command-line tools boosts the effectiveness and productivity of software developers, IT professionals, and data analysts.

The Unix tools were designed, written, actively used and refined by the team that defined the modern computing landscape. They allow the performance of almost any imaginable computing task quickly and efficiently by judiciously combining key powerful concepts. The power of Unix tools for exploring, prototyping and implementing big data processing workflows, and software engineering tasks remains unmatched. Unix tools, running on hardware ranging from tiny IoT platforms to supercomputers, uniquely allow an interactive, explorative programming style, which is ideal for the efficient solution of many of the engineering and business analytics problems that we face every day.

Through the use of Unix tools:
- Software developers can quickly explore and modify code, data, and tests.
- IT professionals can scrutinize log files, network traces, performance figures, filesystems and the behavior of processes.
- Data analysts can extract, transform, filter, process, load, and summarize huge data sets.

The course is uniquely based on carefully-selected, interactive walk-through examples that demonstrate how each command operates in practice. The examples that we use involve problems that engineers and analysts face every day.

Subject:
Applied Science
Computer Science
Engineering
Material Type:
Full Course
Provider:
Delft University of Technology
Provider Set:
TU Delft OpenCourseWare
Author:
Diomidis Spinellis
Date Added:
01/16/2023