Internet Of Things Syllabus

Internet Of Things Course

Course Title	[COURSE TITLE]
Course Code	[COURSE CODE]
Instructor Name	[YOUR NAME]
Email	[YOUR EMAIL]
Office Hours	[OFFICE HOURS]

1. Course Description

This course will guide students through both theoretical and practical aspects of applying Internet Of Things (IoT) in modern systems. By expounding on the potential applications as well as the challenges that come with implementing IoT solutions, the course will provide a holistic understanding essential for budding computer engineers.

2. Instructor Information

Instructor: [YOUR NAME]
Company: [YOUR COMPANY NAME]
Contact: [YOUR EMAIL]

3. Learning Objectives

Understanding the basic concepts of IoT and its potential application in different systems.
Exploring existing challenges in implementing IoT solutions.
Developing practical skills to design, implement and troubleshoot IoT centered systems.
Examining security and privacy concerns related to the use of the Internet of Things.
Encouraging innovation in the use of IoT in solving modern-day problems.

4. Course Schedule

Week	Topics	Assessment
1-2	Introduction to IoT	Quiz 1
3-4	IoT Applications	Assignment 1
5-6	Challenges in IoT implementation	Mid Semester Exam
7-8	IOT Design and Implementation	Assignment 2
9-10	Security in IoT	Quiz 2
11-12	Future of IoT	Final Exam

5. Required Reading and Materials

A Mittal et al., (2019) "Internet of Things: A Hands-On Approach."
Adrian McEwen, (2013) “Designing the Internet of Things.”
ARM Education Media, (2015). "Internet of Things: System Design, Innovative Applications and Challenges."
Various online articles, journals, and papers related to IoT.
IoT development kit (optional).

6. Assignments and Assessments

Quiz 1: Covers basic concepts of IoT.
Assignment 1: Research and report on a real-life IoT application.
Mid Semester Exam: Cumulative exam covering material from weeks 1-6.
Assignment 2: Design and implement a mini IoT project on a simulated platform.
Final Exam: Comprehensive exam covering all course material.

7. Course Policy

Attendance is mandatory for all classes, quizzes, and examinations.
Assignments should be submitted via the course web portal before the deadline.
Late assignments will incur a penalty of a 10% grade reduction for each day delayed.
Academic dishonesty, including cheating and plagiarism, will not be tolerated.
Students are expected to maintain a respectful environment conducive to learning.

8. Grading Policy

The final grade will be determined as follows:

Category	Percentage
Assignments	30%
Quizzes	20%
Mid Semester Exam	20%
Final Exam	30%

9. Additional Resources:

Online articles and research papers
IoT development kits and platforms documentation
Tutorials and case studies from IoT industry leaders

10. Disclaimer

This syllabus serves as a guide for the structure and expectations of the course. Nonetheless, please note that there might be alterations or modifications in the syllabus and these changes will be communicated in advance for everyone's convenience.