2 Years
Post Graduate
Engineering
The Master of Technology (M.Tech.) Artificial Intelligence syllabus at CARE School of Engineering - [CARESE]Tiruchirappalli, Tiruchuli is designed to provide overall knowledge to the students with a strong foundation. Master of Technology (M.Tech.) Artificial Intelligence faculty at CARE School of Engineering - [CARESE]Tiruchirappalli specially focus on in-depth learning to relevant subjects. At first semester syllabus of Master of Technology (M.Tech.) Artificial Intelligence at CARE School of Engineering - [CARESE]Tiruchirappalli, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Master of Technology (M.Tech.) Artificial Intelligence syllabus at CARE School of Engineering - [CARESE]Tiruchirappalli, Tiruchuli maintains a balance between theoretical knowledge and practical knowledge.
Master of Technology (M.Tech.) Artificial Intelligence first year students at CARE School of Engineering - [CARESE]Tiruchirappalli are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. CARE School of Engineering - [CARESE]Tiruchirappalli, Tiruchuli also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Master of Technology (M.Tech.) Artificial Intelligence syllabus at CARE School of Engineering - [CARESE]Tiruchirappalli, Tiruchuli is also frequently updated to give industry relevant training and knowledge to students. CARE School of Engineering - [CARESE]Tiruchirappalli strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at CARE School of Engineering - [CARESE]Tiruchirappalli enable Master of Technology (M.Tech.) Artificial Intelligence students to apply knowledge and skills in a controlled environment and get required experience.
According to syllabus of Master of Technology (M.Tech.) Artificial Intelligence progress, students learn advanced topics and complex concepts. The Master of Technology (M.Tech.) Artificial Intelligence curriculum at CARE School of Engineering - [CARESE]Tiruchirappalli, Tiruchuli mainly focuses on analytical and critical thinking. As the Master of Technology (M.Tech.) Artificial Intelligence course unfolds, students develop several important skills that increases their employability. As per syllabus of Master of Technology (M.Tech.) Artificial Intelligence at CARE School of Engineering - [CARESE]Tiruchirappalli also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.
Master of Technology (M.Tech.) Artificial Intelligence curriculum at CARE School of Engineering - [CARESE]Tiruchirappalli includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Master of Technology (M.Tech.) Artificial Intelligence syllabus at CARE School of Engineering - [CARESE]Tiruchirappalli aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at CARE School of Engineering - [CARESE]Tiruchirappalli
Note: Given below syllabus is based on the available web sources. Please verify with the CARE School of Engineering - [CARESE]Tiruchirappalli, Tiruchuli for latest Master of Technology (M.Tech.) Artificial Intelligence curriculum.
| S.No |
1st Year Syllabus of M.Tech. in Artificial Intelligence |
| 1 | Graph Theory |
| 2 | Electronics System Design |
| 3 | Introduction to Robotics |
| 4 | Machine and Mechanics |
| 5 | Embedded Systems |
| 6 | Manufacturing System Simulation |
| 7 | Robot Programming |
| 9 | Electrical Actuators and Drives |
| 10 | Image Processing & Machine Vision |
| 11 | Robotics Based Industrial Automation |
| 12 | Robotics Control System |
| 13 | Principles of Computer Integrated Manufacturing |
| S.No |
2nd Year Syllabus of M.Tech. in Artificial Intelligence |
| 1 | Artificial Intelligence and Neural Network |
| 2 | System modeling and identification |
| 3 | Nano Robotics |
| 4 | Robot Vision |
| 5 | Robotic Simulation |
| 6 | PLC and Data Acquisition system |
| 7 | Summer Internship |
| 8 | Computer Numerical Control Machines & Adaptive Control |
| 9 | Manufacturing Systems Automation |
| 10 | Robot Economics |
| 11 | Modern Material Handling Systems |
| 12 | Group Technology and Cellular Manufacturing |
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