PGD in PGDARSMA Course Syllabus

  • course years 1 Years
  • type of course Diploma
  • course stream Agriculture
  • course type Full Time
Written By universitykart team | Last Updated date Jan, 28, 2023

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.NoSubjects
1Basic Mathematics
2Probability Theory
3Statistical Methods
4Numerical Methods and Optimization
5Introduction to Packages: R, S and SAS
6Computer Intensive Statistical methods                                                                                           
7Regression & Time Series
8Statistical Machine Learning & Statistical Finance
9Clinical Trials & Actuarial Methods
10Project

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