PGDARSMA syllabus includes robotics, automation, AI, sensors, mechatronics, IoT, data analytics, and practical projects.
Syllabus & Subject: PGD in PGDARSMA Course
The Post Graduate Diploma in Autonomous Robotics and Smart Manufacturing Applications (PGDARSMA) course syllabus is designed to provide students with a comprehensive understanding of the field. It typically covers core subjects such as robotics fundamentals, automation, artificial intelligence, sensor technology, and machine learning. Students delve into topics like industrial automation, mechatronics, control systems, and computer vision. Additionally, the syllabus often includes modules on smart manufacturing principles, data analytics, and the Internet of Things (IoT) applications in manufacturing. Practical aspects involve hands-on experience with robotics hardware, software development, and real-world industrial projects. This well-rounded curriculum equips students with the knowledge and skills necessary to excel in autonomous robotics and smart manufacturing industries.
| S.No | Subjects |
| 1 | Basic Mathematics
|
| 2 | Probability Theory
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| 3 | Statistical Methods
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| 4 | Numerical Methods and Optimization
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| 5 | Introduction to Packages: R, S and SAS
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| 6 | Computer Intensive Statistical methods
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| 7 | Regression & Time Series
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| 8 | Statistical Machine Learning & Statistical Finance
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| 9 | Clinical Trials & Actuarial Methods
|
| 10 | Project
|
1 Years
Diploma
Agriculture
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