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Specialize in developing algorithms and models for machines to understand, interpret, and generate human language. Contribute to advancements in voice recognition, language translation, and chatbot technologies.
Focus on creating algorithms and systems that enable machines to interpret and understand visual information. Work on applications such as image recognition, video analysis, and augmented reality.
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Bridge the gap between technical teams and business objectives. Manage the development and implementation of AI-driven products, ensuring alignment with market demands and strategic goals.
Guide organizations in the ethical deployment of AI technologies. Ensure responsible and fair use of AI systems, addressing ethical concerns and potential biases in algorithmic decision-making.
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Contribute to cutting-edge research in quantum computing, exploring new algorithms and approaches. Work on developing applications that leverage the potential of quantum computers for solving complex problems
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 |
|
Open Source Software |
Design Thinking |
|
Computational Thinking for Structured Design-1 |
Global Certifications - Fundamentals (Azure, AWS, GCP) |
|
Mathematics-I |
ICT workshop |
|
Communication Skills |
Mathematics-II |
|
First Year Elective-1 (Compulsory Subjects :1) |
Advanced Communication & Technical Writing |
|
|
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 |
|
Database Management System |
Software Engineering |
|
Database Management System Laboratory |
Software Engineering Laboratory |
|
Object Oriented Programming with Java |
Computer Network |
|
Object Oriented Programming with Java Laboratory |
Computer Network Laboratory |
|
Computer Organization and Microprocessor |
Programming in Python with Full Stack Development |
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Computer Organization and Microprocessor 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 |
|
|
Competitive Coding |
|
Semester 5 |
Semester 6 |
|---|---|
|
Design and Analysis of Algorithms |
Project – I |
|
Design and Analysis of Algorithms Laboratory |
Machine Learning |
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Theory of computation |
Machine Learning Laboratory |
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Artificial Intelligence |
Compiler Design |
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Artificial Intelligence Laboratory |
Compiler Design Laboratory |
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Enterprise Programming |
High Performance Computing |
|
Enterprise Programming Laboratory |
High Performance Computing Laboratory |
|
Professional Grooming and Personality Development |
PEC 01 (Compulsory Subjects :1) |
|
Quant, and Reasoning |
PEC 01-LAB (Compulsory Subjects :1) |
|
Open Elective 01 (Compulsory Subjects :1) |
PEC 02 (Compulsory Subjects :1) |
|
|
PEC 02-LAB (Compulsory Subjects :1) |
|
|
Employability Skills |
|
Semester 7 |
Semester 8 |
|---|---|
|
Summer Internship |
Internship |
|
Deep Learning with NLP |
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Deep Learning with NLP Laboratory |
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Project – II |
|
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Pattern Recognition |
|
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Pattern Recognition Laboratory |
|
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PEC 03 (Compulsory Subjects :1) |
|
|
PEC 03-LAB (Compulsory Subjects :1) |
|
|
PEC 04 (Compulsory Subjects :1) |
|
|
PEC 04-LAB (Compulsory Subjects :1) |
|
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Open Elective-2 |
|
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