Internet of Things
This course exposes students to the fundamentals of IoT as a paradigm in addition to the foundational problems inherent in this realm. The course will introduce the basic terminology and ecosystem, plus development environments. Topics include IoT hardware and software platforms, data collections and analytics for IoT, security and ethical issues inherent in IoT, and networks programming for IoT. The course explores The course explores problem solving for IoT analytics based on machine learning and deep learning using TensorFlow. The course will run as a seminar-style readings, discussions, labs, and presentations by the students. Students will have a semester-long project using a Raspberry PI 3.
Course Learning Outcomes
Students shall be able to:
August 28, 2017: Fall classes begin
September 26, 2017: Midterm Examination
October 3, 2017: Last day for early withdrawal (WI)
October 24, 2017: Deadline for Incomplete grades
November 7, 2017: Last day for withdrawal from courses (WP/WF)
December 7, 2017: Fall classes end
Professor Haidar M. Harmanani
firstname.lastname@example.org • http://vlsi.byblos.lau.edu.lb • http://harmanani.github.io
Block A • Room 810
Tuesday, Thursday • 3:00pm – 4:30pm • 8:00pm – 9:30pm or by appointment
Lecture notes are made available here in PDF formats. Additional readings will be posted under the resources section in this page.
Lecture 01: : Introduction, Challenges and Opportunities
Lecture 02: IoT Hardware Platforms
Lecture 03: Using the Pi for the First Time
Lecture 04: Wireless Networks
Lecture 05: Wireless Sensor Networks
Lecture 07: Software Platforms and Services
Lecture 08: IoT Web Programming
Lecture 09: Databases for IoT
Lecture 12: Deep Learning for IoT Using TensorFlow
Lecture 13: Cloud Computing and the IoT
Lecture 15: Fog Computing: Smart Homes and Cities
Lecture 16: Connected Vehicles
Lecture 17: Computer Vision for IoT
Labs and Projects
All students are expected to take exams during the scheduled time slots. With the permission of the instructor, you may be allowed to take an exam at an alternate time. However, you must request this rescheduling at least 2 weeks prior to the exam date. Exceptions will naturally be made for sudden problems such as serious illnesses/injury. Since the exam schedule is being published at the beginning of the semester, scheduling conflicts (e.g., job interviews, GREs, etc.) are not legitimate reasons to miss an exam.
The midterm exam is scheduled for February 16, 2016: Midterm Examination. The midterm exam will be a closed book exam. In principle, all topics discussed in class (whether on the lecture notes or not) and in the assigned readings are a legitimate source for exam questions.
The final will be comprehensive, with roughly 1/3 of the material devoted to material covered prior to the midterm. The exam will be on May 15, 2015 from 8:00 am - 11:00 am.
The exam will cover the following sections in the textbook:
Raspberry Pi Projects
Internet Of Things