Program Outcomes
An ability to design, build, and maintain robots and robotic systems that can perform tasks previously done by humans, with applications ranging from manufacturing to healthcare.
An ability to conduct research to advance the field of artificial intelligence, developing new algorithms and technologies that can enable machines to learn and make decisions independently.
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An ability to implement machine learning models and algorithms to analyze large datasets and create predictive models, improving the intelligence of applications in industries like finance, retail, and healthcare.
An ability to develop software for AI applications or robotic systems, involving coding, testing, and integrating AI functionalities into various software products.
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An ability to work on the development of self-driving cars, drones, and other autonomous systems, focusing on integrating AI and robotics to enable these systems to navigate and operate independently.
Constituent College of Parul University
Candidate shall have Passed 12th Examination with Physics, Chemistry, Maths/Biology subjects and in these subjects along with theory or theory + practical candidate should have obtained at least 45% in case of general category and 40% in case of reserved category from recognized board
For admissions please visit our portal to register/login yourself and proceed ahead with your admission application.
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Fees₹ 94,800/- Annually*
Curriculum|
Semester 1 |
Semester 2 |
|---|---|
|
Environmental Science |
Computational Thinking for Structured Design-2 |
|
Engineering Graphics |
Mechanics of Solids |
|
Computational Thinking for Structured Design-1 |
Workshop (Mechanical + Electronics) |
|
Mathematics-I |
Mathematics-II |
|
Communication Skills |
Advanced Communication & Technical Writing |
|
First Year Elective-1 (Compulsory Subjects :1) |
First Year Elective-2 (Compulsory Subjects :1) |
|
Semester 3 |
Semester 4 |
|---|---|
|
Design of Data Structures |
Operating System |
|
Design of Data Structures Laboratory |
Operating System Laboratory |
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Database Management System |
Sensors and Transducers |
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Database Management System Laboratory |
Sensors and Transducers Laboratory |
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Object Oriented Programming with Java |
Communication Protocols |
|
Object Oriented Programming with Java Laboratory |
Communication Protocols Laboratory |
|
Analog and Digital Electronics |
Programming in Python with Full Stack Development |
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Analog and Digital Electronics Laboratory |
Programming in Python with Full Stack Development Laboratory |
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Discrete Mathematics |
Probability, Statistics and Numerical Methods |
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Professional Communication Skills |
Professional Grooming and Personality Development |
|
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Materials Engineering |
|
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Materials Engineering Laboratory |
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Semester 5 |
Semester 6 |
|---|---|
|
Design and Analysis of Algorithms |
Project – I |
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Design and Analysis of Algorithms Laboratory |
Artificial Intelligence |
|
Microcontrollers and Interfacing |
Artificial Intelligence Laboratory |
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Microcontrollers and Interfacing Laboratory |
Robot Dynamics |
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Fundamentals of Robotics and Robot Kinematics |
Robot Dynamics Laboratory |
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Fundamentals of Robotics and Robot Kinematics Laboratory |
Computer Aided Design |
|
Professional Grooming and Personality Development |
Computer Aided Design Laboratory |
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Manufacturing Technology |
PEC 01 (Compulsory Subjects :1) |
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Manufacturing Technology Laboratory |
PEC 01-LAB (Compulsory Subjects :1) |
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Open Elective 01 (Compulsory Subjects :1) |
PEC 02 (Compulsory Subjects :1) |
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PEC 02-LAB (Compulsory Subjects :1) |
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Employability Skills |
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Semester 7 |
Semester 8 |
|---|---|
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Summer Internship |
Internship |
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Field and Service Robots |
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Field and Service Robots Laboratory |
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Project – II |
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Machine Learning |
|
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Machine Learning Laboratory |
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PEC 03 (Compulsory Subjects :1) |
|
|
PEC 03-LAB (Compulsory Subjects :1) |
|
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PEC 04 (Compulsory Subjects :1) |
|
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PEC 04-LAB (Compulsory Subjects :1) |
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Open Elective-2 |
|
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|
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