U3800 Series IoT Applied Courseware

Introduction

The Internet of Things (IoT) is the next mega trend that will change the way we live and work, and it is predicted to touch almost every consumer and industrial application.The core technologies that enable the IoT are wireless communication and sensor developments, and ongoing advances in these technologies result in unique challenges.These challenges include new communications standards, increased sensor integrations and power consumption management.This puts heavy stress on an IoT device’s design and validation cycle, and designers must constantly innovate to quickly and successfully develop and deploy IoT devices in the market.

The next generation of engineers will play a key role in the development of the IoT, and it is important that students graduate from an engineering program prepared for the electronic design, test and measurement challenges ahead of them.Educators must not only teach students the basics of designing and testing an IoT system; they must provide students with an understanding of the entire IoT ecosystem and relate these experiences to real-world applications.

With more than 75 years of test and measurement expertise, Keysight Technologies, Inc.can enable you to nurture the next generation of IoT-ready professionals.Keysight’s ready-to-teach IoT applied courseware focuses on teaching practical design and test techniques and is designed to give students the opportunity to work with industry-grade test and measurement instruments in the lab – the same instruments that they would find in the industry.

Keysight’s IoT applied courseware covers four major topics:

1. IoT Fundamentals – Introduces the fundamentals of IoT.Students who complete this course will demonstrate the understanding of IoT’s architecture, technologies, standards, wireless protocols, applications, and ecosystems.

2. IoT Systems Design – Students will learn how to design, develop, and evaluate an IoT-enabled embedded system using industry-standard tools.

3. IoT Wireless Communications – Students will learn how to develop typical IoT applications with various types of wireless connectivity.Students will also learn how to perform quick verification and design validation on these IoT applications.

4. IoT Sensors and Power Management – Teaches students how to characterize the power consumption of IoT devices onboard controllers, sensors and wireless modules.Students will understand the principles of power management and will be able to characterize micro-electro-mechanical systems (MEMS) devices.

Each courseware comes with a training kit and teaching slides.The training kit consists of a development kit and sensors, lab sheets, and problem-based assignments.Students can also use this kit to develop their projects once they have completed the course.

Comprehensive

- This courseware focuses on end-to-end learning of the IoT ecosystem, from the sensor node, gateway, cloud to end-user application/service.Topics such as different types of wireless technologies in a single training platform, including Bluetooth®, ZigBee, WLAN, and LoRa, are also included.

- Setting up a new course can be challenging and time-consuming.The courseware is designed for full-semester teaching, covering 2nd year – final year undergraduate program.Each full-semester of learning is comprised of teaching slides and a training kit with lab sheets and problem-based assignments.The teaching slides cover at least 36 hours of classroom sessions, and the training kit covers 18 hours of lab sessions.Educators can use this complete, out-of-the-box solution to accelerate the setup of a new IoT-focused course.

Real-world and industry-oriented

- Today, 51% of the companies are still having trouble in hiring qualified candidates to fill open engineering positions.This courseware is designed to equip students with IoT engineering knowledge and skills that are most sought after by the industry.Students will gain practical experience in using leading-edge, industry-relevant tools and software to design and test IoT systems.