AID403 IoT Fundamentals
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| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| AID403 | IoT Fundamentals | 3 | 2 | 6 | ||||||
| Prerequisite | CS103 | It is a prerequisite to | None |
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| Lecturer | Özge Büyükdağlı | Office Hours / Room / Phone | ||||||||
| obuyukdagli@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | 1. To understand the architecture of IoT solutions, examine the components and relationships within the Internet of Things (IoT), describe the operation of current standards for IoT communication, construct IoT solutions using the Arduino microcontroller or Raspberry Pi single-board computer. 2. To assess the impact of implementation decisions for an IoT system (e.g. choice of communication technology, hardware, interaction model, etc.) 3. To implement and asses an IoT system that can address challenges in home/city automation, logistics, manufacturing, healthcare, or energy systems. 4. To collect and visualize data sourced from IoT endpoints and analyze data for crucial insights, a proficiency that is appreciated by employers. |
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| Textbook | Cisco Academy Networking Program IoT Fundamentals: Connecting Things, Big Data & Analytics. | |||||||||
| Additional Literature |
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| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
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| Teaching Methods | This course employs a range of teaching and self-learning methods, including Lectures with presentation and notes, in-class examples and discussions, interactive Activities and video demonstrations. Group projects are implemented for hands-on experience, team work and research practice. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction to Internet of Things | |||||||||
| Week 2 | IoT Hardware platforms and Operating Systems | |||||||||
| Week 3 | Wireless technologies in IoT (pt1) | |||||||||
| Week 4 | Wireless technologies in IoT (pt1) | |||||||||
| Week 5 | IP-connected smart objects/networks pt1 | |||||||||
| Week 6 | IP-connected smart objects/networks pt2 | |||||||||
| Week 7 | Embedded web services and Web of Things pt1 | |||||||||
| Week 8 | Midterm Exam | |||||||||
| Week 9 | Embedded web services and Web of Things pt2 | |||||||||
| Week 10 | Other relevant standardization bodies | |||||||||
| Week 11 | Industrial IoT | |||||||||
| Week 12 | Indoor localization | |||||||||
| Week 13 | Fog and Cloud Computing | |||||||||
| Week 14 | Project demonstrations | |||||||||
| Week 15 | Project demonstrations | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs |
| Final Exam | 1 | 30 | ||
| Semester Evaluation Components | ||||
| Midterm | 1 | 20 | ||
| Project | 1 | 30 | ||
| Homeworks | 2 | 20 | ||
| *** ECTS Credit Calculation *** | ||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 14 | 42 | Hands on Labs | 2 | 14 | 28 | |||
| Home study | 3 | 14 | 42 | Midterm Exam Study | 5 | 5 | 25 | |||
| Final exam study | 13 | 1 | 13 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 18/10/2024 | |||||||||