ME-438 AI AND INTERNET OF THINGS
CREDIT HOURS
Theory = 2
Practical = 1
COURSE LEARNING OUTCOMES (CLOs)
| S. No. | CLOs | PLO | Taxonomy |
| 1 | Explain the fundamental concepts of Artificial Intelligence, Machine Learning, and IoT with relevance to mechanical engineering systems | PLO-1 Engineering Knowledge |
Cognitive Level 2* |
| 2 | Apply appropriate AI/ML algorithms on engineering datasets to extract patterns or support decision making | PLO-2 Problem Analysis |
Cognitive Level 3* |
| 3 | Analyze real-world engineering problems by applying data preprocessing, machine learning algorithms, and visualization techniques through self-learning resources | PLO-11 Lifelong Learning |
Cognitive Level 4* |
| 4 | Practice implementing machine learning models on engineering datasets and operating IoT components for real-time sensing and control in mechanical systems | PLO-4 Investigation | Psychomotor Level 3* |
COURSE CONTENT
- Fundamental Elements: Review of programming fundamentals, Internet of Things (IoT), Artificial Intelligence (AI), Data Analysis, Fourth Industrial Revolution (Industry 4.0), Foreseeable
industrial Revolution through AI. Real world interaction devices and linkage to mechanical engineering applications such as automotive sector, energy etc. - AI / M L Algorithms: Introduction to AI and Machine Learning, Data preprocessing, Supervised learning, Regression algorithms, Classification algorithms, Unsupervised leaning, Clustering, Applications in Mechanical Engineering.
- Data Acquisition end Visualization: Data acquisition and storage on open cloud platforms. Cloud based data analytics and data visualization.
- Microcontroller interfacing and Automation: Microcontroller internal architecture, Instruction execution, ALU, Memory, Peripherals. Computer Networks, TCP/IP protocol. Sensors and actuators, I/O communication protocols. (UART, Wireless protocols). Single board computers, interfacing with Arduino and Raspberry Pi, Introduction to Programmable Logic Controllers (PLCs) and similar technologies.
RECOMMENDED BOOKS
Text Book(s)
- Sami Salama Hussein Hajjaj, Kisheen Rao Gsangaya, The Internet of Mechanical Things: The IoT Framework for Mechanical Engineers, CRC Press, 2022
Reference Book(s)
- K. Kumar, Z. Zindani, J. Paulo Davim, Artificial Intelligence in Mechanical and Industrial Engineering, CRC Press, 2021.
- Teik Toe Teoh, Zheng Rong, Artificial Intelligence with Python, Springer, 2022.
- Steven Lawrence Fernandes, Artificial Intelligence in Industrial Applications, Springer, 2021.
- Thomas Bräunl, Embedded Robotics: From Mobile Robots to Autonomous Vehicles with Raspberry Pi and Arduino, Springer, 2022.
- S. Tripathi, M. Dubey, V. Rishiwal, Introduction to AI Techniques for Renewable Energy System, CRC Press, 2021.
*For details of Taxonomy Levels CLICK HERE
