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Program Outcomes
Design and implement machine learning models, algorithms, and systems for various applications, contributing to the development of intelligent systems and data-driven solutions.
Utilize statistical analysis, data mining, and machine learning techniques to extract valuable insights from complex datasets. Solve business problems and drive decision-making through the interpretation of data.
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Design, develop, and maintain robotic systems and automation solutions. Contribute to the advancement of robotics technology, working on projects ranging from manufacturing automation to autonomous vehicles.
Engage in cutting-edge research to advance the field of Artificial Intelligence. Contribute to the development of new algorithms, models, and technologies, pushing the boundaries of what is possible in AI.
Build and optimize data pipelines, databases, and large-scale processing systems. Play a crucial role in managing and processing vast amounts of data, ensuring its accessibility and reliability for analytical purposes.
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 |
|
Computer Organization and Microprocessor Laboratory |
Programming in Python with Full Stack Development Laboratory |
|
Discrete Mathematics |
Probability, Statistics and Numerical Methods |
|
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 |
|
Theory of computation |
Machine Learning Laboratory |
|
Artificial Intelligence |
Compiler Design |
|
Artificial Intelligence Laboratory |
Compiler Design Laboratory |
|
Enterprise Programming |
Data Analytics and Visualization |
|
Enterprise Programming Laboratory |
Data Analytics and Visualization 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 |
|
|
Data Science with python |
|
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Data Science with python Laboratory |
|
|
PEC 03 (Compulsory Subjects :1) |
|
|
PEC 03-LAB (Compulsory Subjects :1) |
|
|
PEC 04 (Compulsory Subjects :1) |
|
|
PEC 04-LAB (Compulsory Subjects :1) |
|
|
Open Elective-2 |
|
|
|
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