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It is predicted that more than 25 billion devices will be connected by 2020. In this data science course, you’ll learn about the major components of the Internet of Things and how data is acquired from sensors. You’ll also examine ways of analyzing event data, sentiment analysis, facial recognition software and how data generated from devices can be used to make decisions.

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: Columbia University

Course Curriculum

Internet of Things
Internet of Things: Introduction 1 00:13:00
Internet of Things: Introduction 2 00:19:00
Wireless Communications 1 00:15:00
Wireless Communications 2: Cellular Mobile Systems 00:10:00
Wireless Communications 3: Comparison of Wireless Systems 00:07:00
Wireless Standard: WiFi and Bluetooth 1 00:16:00
Wireless Standard: WiFi and Bluetooth 2 00:13:00
Wireless Standard: BLE and Zigbee 1 00:17:00
Wireless Standard: BLE and Zigbee 2 00:05:00
Networks for IoT 2 00:16:00
Securing IoT Networks 1 00:14:00
Securing IoT Networks 2 00:13:00
Networking: IoT – 6LoWPAN 00:19:00
Networking: IoT – CoAP 1 2.6 00:13:00
Networking: IoT – CoAP 2 2.7 00:08:00
Networking: IoT – MQTT 1 00:13:00
Networking: IoT – MQTT 2 .9 00:10:00
Embedded Systems 1 00:14:00
Embedded Systems 2 00:13:00
Interfacing with the Physical World 1 00:10:00
Interfacing with the Physical World 2 00:11:00
Video: Energy Harvesting 1 00:22:00
Video: Energy Harvesting 2 00:13:00
Ultra Low Power Computing in VLSI 00:19:00
Hardware for Machine Learning 00:13:00
Video: Cloud Robotics 00:21:00
Video: IoT Economics 1 00:17:00
Video: IoT Economics 2 00:24:00
Video: IoT Economics 3 00:19:00
Natural LLanguage Processing
Video: At the Intersection of Language and Data Science 00:07:00
NLP: News 00:16:00
Online Discussion Forums 00:11:00
News and Online Discussion Forums 00:13:00
Personal Narrative 00:09:00
Novels 00:11:00
Application of Natural Language Processing 00:08:00
Tagging Problems and Log-Linear Models 1 00:08:00
Tagging Problems and Log-Linear Models 2 00:14:00
Tagging Problems and Log-Linear Models 3 00:13:00
Video: Syntax and Parsing 00:14:00
Dependency Parsing 00:17:00
Machine Translation 1 00:14:00
Machine Translation 2 00:07:00
Audio,Video and Image Processing
Speech and Data Science 00:05:00
Speech Production and Perception 00:14:00
Recording Speech for Analysis 00:04:00
Speech Features 00:12:00
Recognizing Emotional Speech 00:19:00
Detecting Deception from Speech and Text 1 00:11:00
Detecting Deception from Speech and Text 2 and Conclusion 00:20:00
Multimedia in Large-Scale Data Applications 00:20:00
Visual Matching and Recognition Techniques 1 00:17:00
Visual Matching and Recognition Techniques 2 00:18:00
Visual Matching and Recognition Techniques 3 00:12:00
Applications of Visual Recognition 00:16:00
Research Topics and Conclusion 00:14:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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