EEM 602 : IOT 

M.Sc in Artificial Intelligence

M.Sc in Communications and Networks

(by Prof. Mohab Mangoud)

Course Description:

This advanced course delivers an understanding of Embedded Systems and Internet of Things and their enabling smart everywhere applications, like smart grid, smart city, smart home, industrial automation, telemetry, etc. Typical architectures of IoT systems are introduced, including microcontrollers and sensors. It is industrially focused, tailored to the demands of companies that design and manufacture mobile electronic equipment which interfaces with wireless networks and applications. Students will also learn how to use typical IoT enabling communications technologies,

Course Grading

Assignments / Home works + Take home Exams :    4 x 10% = 40%       

Seminar 1:     20 %        

Final Project / Research Paper : 40%   

 “The instructor reserves the right to change the grading scheme after discussion and agreement of the class”

Week 1  {T 10 Sept}  : Course / IoT Introduction (MAM-IoT 1-intro 1)

Week 2 {T 17 Sept  } : IoT Architecture 1   (MAM-IoT2)  

Week 3 {T 24 Sept }  : IoT Architecture 2  (MAM-IoT3)   


Week 4: {T 1 Oct. }  Hardware Implementation  ( MAM-IoT3-2)  

 

Week 5: {T  8 Oct. } 

(1) (Seminar Paper/topic selection /proposal draft Submission) 

(2) Final Project Proposal final Submission)

 (3) Assignment # 1  

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Week 6:  {T 15 Oct. } :  Reading / Studing/ Seminar 1 Preparation  

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Week 7:  {T 22 Oct. }  (Seminar 1) {20 mins each + 10 mins Q&A} On campus 

 

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Week 8:   {T 29 Oct } 

 Computer Networks 1 for IoT  

Part 1 : MAM-IoT4     

Part 2:  MAM-IoT5 

 

 Assignment # 2

 

Week 9: {T 5 Nov } 

Computer Networks for IoT (2nd lecture)

Part 3: MAM-IoT6 

Part 4:  MAM-IoT7

 Assignment # 3

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Week 10:  {T 12 Nov } 

Digital communications (MAM-IoT8-digital comm)

Wireless Communications (MAM-IoT9-wireless comm

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Week 11: {T  19 Nov } 

 IoT Protocol :  MQTT Protocol   (case study)

Week 12: {T 26 Nov }   IoT Data Analytics +  Course conclusion

Assignment # 4

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Week 13 + 14 : {T 3  & 10 Dec } Preparation + Studying Period for the Final Project paper & Presentation
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Week 15 + 16 : {T Dec 17/24 }  (Final Project Seminar 2 ) {30 mins each + 10 mins Q&A}  

 

T: 24 Dec 2024: Final Project Submission + Final Report

Home-works (Take home exam) / Assignments / Research paper)

 

Reference books 

1. Internet of Things A to Z  Technologies and Applications by Qusay F. Hassan, 2018 by The Institute of Electrical and Electronics Engineers, Published by John Wiley & Sons, Inc., Hoboken, New Jersey. 

2. Computer Networking: A Top-Down Approach Featuring the Internet, 5th Ed. (2010), by James F. Kurose and Keith W. Ross. 

Sample of Previous Best Students Projects 

1- CONFIGURING IOT TEMPERATURE SENSOR DEVICES ON CLOUD WITH MOBILE APPLICATION (20112926 -Term Project )

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S1-2021-2022

2. A Smart Blackbox for Vehicle Tracking and Monitoring (Ahmed Alsahlawi) (pdf)

3.  SMART WATER CONSUMPTION MEASUREMENT SYSTEM  (Farouk A. Aziz) (pdf)

4. Automatic Attendance and Classroom Environmental Monitoring  (Ana – pdf) 

 

5. Implementation of an IoT-based plant monitoring system (Fatema-pptx) (Fatema -pdf)

6. Smart Home Plants Monitoring  (Mubarak)

7. Neural Network Intrusion Detection System for MQTT-based IoT Networkjawaher )

8. Remote Heart Rate Monitoring System (HIoT) (Najeeba)

9. AC Power Meter (Ghadeer) 

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S1: 2022-2023

10. Mobile Air Quality Monitor Device (Ahmed

11. Medicine organizer (Hawra)

12. Human Action recognition based on IoT (Asma)

13. Smart Parking System (Fatema Yousef) 

14. Traffic lights controller with AWS (Anas)

15. IoT solutions for Smart City (Ahmed – Najmuldeen) 

 

S1 2023-2024 :

 

(1) Enhancing Quality of Life: Advanced Wearables for Patient and Elderly Monitoring Mohamad Zafar Iqbal Badar

EEM602 IoT – Research Paper

EEM602 IoT – Project Seminar

 

(2) IoT Air Monitoring and Reporting System for Residential Environments, Farah Shaheen

IoT Air Monitoring and Reporting System for Residential Environments

IoT Project_Presentation_Farah Shaheen

 

(3) IoT Enabled Smart Cradle System (January 2024) , Arwa Alenezi1 

IoT Enabled Smart Cradle System

IoT Based Smart Cradle

(4) IntelliCradle: IoT-Enabled Infant Care System, Khalil Alyaweel

602_Project_Report_20153417

602_Final_Presentation_20153417 (1)

(5) Smart Meter Project Combining IoT, AI and Machine Learning, Alawi Sharaf

Smart Meter Project Combining IoT_Phase 1 Alawi Sharaf

Smart Meter Load

(6)  SmartGuard: Advanced Motion Detection and Streaming with Raspberry Pi and AWS, Ammar Isa 

SmartGuard – Ammar – 20174295

Camera Motion Detection IoT – Ammar – 20174295