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ColumbiaX: DS103x Enabling Technologies for Data Science and Analytics: The Internet of Things

Enabling Technologies for Data Science and Analytics: The Internet of Things DS103X

Course Syllabus

Week 1: Internet of Things Part I

    1. Internet of Things: Introduction 1
    2. Internet of Things: Introduction 2
    3. Wireless Communications 1
    4. Wireless Communications 2: Cellular Mobile Systems
    5. Wireless Communications 3: Comparisons of Wireless Systems
    6. Wireless Standard: WiFi and Bluetooth 1
    7. Wireless Standard: WiFi and Bluetooth 2
    8. Wireless Standard: BLE and Zigbee 1
    9. Wireless Standard: BLE and Zigbee 2
    10. Suggested Readings

Week 2: Internet of Things Part II

    1. Networks for IoT 1
    2. Networks for IoT 2
    3. Securing IoT Networks 1
    4. Securing IoT Networks 2
    5. Networking: IoT - 6LoWPAN
    6. Networking: IoT - CoAP 1
    7. Networking: IoT - CoAP 2
    8. Networking: IoT - MQTT 1
    9. Networking: IoT - MQTT 2
    10. Suggested Readings

Week 3: Internet of Things Part III

    1. Embedded Systems 1
    2. Embedded Systems 2
    3. Interfacing with the Physical World
    4. Energy Harvesting 1
    5. Energy Harvesting 2
    6. Ultra Low Power Computing in VLSI
    7. Hardware for Machine Learning
    8. Application: Cloud Robotics
    9. IoT Economics 1
    10. IoT Economics 2
    11. IoT Economics 3
    12. Suggested Readings

Week 4: Natural Language Processing

    1. At the Intersection of Language and Data Science
    2. NLP: News
    3. NLP: Online Discussion Forums
    4. NLP: News and Online Discussion Forums
    5. NLP: Personal Narrative
    6. NLP: Novels
    7. NLP: Applications
    8. Tagging Problems, and Long-linear Models
    9. Syntax and Parsing
    10. Machine Translation
    11. Suggested Readings

Week 5: Audio, Video and Image Processing

    1. Speech and Data Science: Introduction
    2. Speech Production and Perception
    3. Recording Speech for Analysis
    4. Speech Features
    5. Applications: Recognizing Emotional Speech
    6. Applications: Detecting Deception from Speech and Text
    7. Exploration of Images, Videos, and Multimedia in Large Data Applications
    8. Review of Large-Scale Visual Search and Recognition Techniques
    9. Applications
    10. Open Research
    11. Suggested Readings

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Grading Policy

Assignments count towards 100% of the grade. There will be no midterm exam and no final exam.

Two lowest assignments will be dropped.

Students have 2 attempts to complete assignments, unless otherwise noted in the assignment description.

Passing grade for the course is 60% or higher.

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Certificate Information

This course is part of a three-part Data Science for Executives Professional Certificate Program from ColumbiaX. If you earn a passing grade in all three courses in this series for a verified certificate, you will also receive an XSeries certificate for the series.