IS 452 Big Data and the Internet of Things (Iot)
This course surveys system design concepts, techniques, and algorithms in Machine to Machine (M2M), Internet of Things (IoT), and Internet of Everything (IoE). Topics covered include system architecture for big data, sensors and embedded technologies, IoT architecture, consumer vs. industrial IoT, wearable and mobile systems, tracking systems, IoT and big data analytics, market dynamics and entrepreneurial opportunities. Special emphasis is placed on identifying best practices in using big data and IoT through case studies and hands-on exercises.
Internet of Things (A Hands-on-Approach) by Vijay Madisetti, Arshdeep Bahga
Grading Lab 60%, Homework 20%, Midterm 10%, Final 10%. No late homework will be accepted after one week from the due date. Any late homework will lose 20% credit. If you can not attend the test, you must present certain document to show that you have a valid reason. Exam material will be drawn from lecture notes and homework assignments. Grading Scale: A : 93-100 A-: 90- 92 B+: 87- 89 B : 83- 86 B-: 80- 82 C+: 77- 79 C : 73- 76 C-: 70- 72 D : 60- 69 F : 0- 59
Students will be able to ? Explain the value of Big Data and IoT for organizations across many industry sectors ? Describe how IoT is interacting with and impacting Big Data implementations ? Define IoT ecosphere including technologies, business verticals, regulations and business opportunities ? Identify entrepreneurs opportunity to get started with building their own IoT devices and solutions ? Experiment with different hardware and software products and technologies and apply the appropriate ones to provide end-to-end solutions for the business ? Use data visualization to present time-series data gathered from IoT
Mon-Thur 10AM-5PM (appointment request by email - email@example.com)
Introduction, Technology Trends (Cloud Computing, Big Data Analytics, Mobile and Social)
Consumer IoT: Smart home, Healthcare, etc.
Industrial IoT - Smart Car, Smart Factory, etc.
Internet, Fog Computing/Edge Computing
IBM Bluemix and IoT
Microsoft Azure and IoT
Smart Building, Smart City
Raspberry Pi, Summary
This syllabus is subject to change as necessary during the quarter. If a change occurs, it will be thoroughly addressed during class, posted under Announcements in D2L and sent via email.
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