Dec 10, 2024  
2023-2024 Schoolcraft Catalog 
    
2023-2024 Schoolcraft Catalog [ARCHIVED CATALOG]

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MECH 131 - Industrial Internet of Things (IIoT)


Credits: 3
Lecture Contact Hours: 2
Lab Contact Hours: 2
Description: This course is designed for students who are pursuing a career in mechatronics. It prepares individuals to succeed in operations positions in modern production environments that use Industry 4.0 automation, IIoT (Industrial Internet of Things), optimization and data analytics technologies. It is also ideal for maintenance technicians and IT professionals seeking to become versed in these areas. Students will be prepared to sit for the Certified Industry 4.0 IIoT and Data Analytics certification exam.

Prerequisites: None
Corequisites: None
Recommended: None

Course Category: Occupational
This Course is Typically Offered: Winter
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Students who already have this knowledge may qualify for prior learning credits. https://www.schoolcraft.edu/student-records/prior-learning-credits.
Course Competencies
1.   Explain concepts and components of Industrial Internet of Things (IIoT).

2.   Explore lean manufacturing and system optimization.

3.   Operate VFD (Variable Frequency Drives).

4.   Troubleshoot VFD programming and typical errors.

5.   Operate a PLC (Programmable Logic Controller) system. 

6.   Troubleshoot a PLC system.

7.   Transfer data through a PLC Ethernet messaging communication.

8.   Configure a managed Ethernet network and switch.

9.    Explain the operation and diagnostics of Ethernet switches/networks.

10.  Describe types of mechatronics systems and their components.

11.  Operate PLC and robot programs that use I/O (input/output) handshaking. 

12.  Perform barcode and RFID (Radio Frequency Identification) programming and operation.

13.  Detect connection types and errors of barcode and RFID systems. 

14.  Perform smart sensor programming and operation.

15.  Explain data analytics and Manufacturing Execution Systems (MES).

16.  Create a SQL (Structured Query Language) database system.

17.  Analyze data from SQL database queries. 



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