About Computer Science and Engineering with Artificial Intelligence


With the growing dependance upon automated systems, robotics, and intelligence systems throughout the various sectors of life, there has been an increasing demand for experts who go on to possess the specialised skillsets required to navigate this field. The Faculty of Egineering's department of Computer Science Engineering offers a four year bachelors degree specialisation in Artificial  Intelligence which endevours to equip students with the much needed training which they require in this field. The program focuses in imparting within the students specialised skills in the fields of intelligent systems and digital signal processing to rapid control prototyping and system identification, along with the design, analysis and testing robots, autonomous vehicles and other complex electro-mechanical systems. The department of computer science is equipped with a total of 5 computer laboratories which are strategically designed to provide students with the most vital practical training exposure along with a supercomputer facility which seeks to provide the students with the most effective and efficient platform for high-end computing and data processing. Students who complete this program, will avail endless opportunities in numerous career avenues.

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National Applicants

International Applicants

Computer Science and Engineering with Artificial IntelligenceProgram Outcomes


Why Study Computer Science and Engineering with Artificial Intelligence

Role of Artificial Intelligence in delivering economic value by 2025 Data and Intelligent system could add $450bn - $500bn to India's GDP by 2025. The pandemic fast-tracked the dependence and upon such systems thus resulting in a continuous growth in the industry for experts who are trained in this field and upon completing this program, students will develop the ability to navigate the various aspects of the program.
Machine Learning Engineer.

Machine Learning Engineer.

An ability to develop and feed information towards machines for the purpose of learning and developing its functions

Hardware Engineers

An ability to solve engineering problems by identifying, analysing and formulating the computing requirements.

Hardware Engineers
System Analyst

System Analyst

An ability to analyse various systems and to produce effective solution which can be utilised for further development

AI Architect

An ability to develop effective artificial intelligence systems which get to have essential values in the industry.

AI Architect
Data Scientist

Data Scientist

An ability to collect and analyse endless streams of data and to formulate effective analytical deductions which give relevant information

Duration: 4 years (Semester System)


affiliation

Affiliation

Constituent College of Parul University

eligibility

Eligibility Criteria

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.

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Mode of Admission

For admissions please visit our portal to register/login yourself and proceed ahead with your admission application.

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Computer Science and Engineering with Artificial Intelligence feesFees

Country
State

Computer Science and Engineering with Artificial Intelligence

₹ 94,800/- Annually*

* Tuition Fees may vary depending on the Country/ State in which the candidate has passed their qualifying examination.

Computer Science and Engineering with Artificial Intelligence CurriculumCurriculum

Semester 1

Semester 2

Environmental Science

Basic Electrical Engineering

Electronics Workshop

Information and Communication Technology

Elements of Mechanical Engineering

Mathematics-I

Communication Skills - 1

Fundamentals of Programming

Basic Electronics

Engineering Graphics

Mathematics-II

Elements of Physics

Communication Skills - 2

 

 

Semester 2

Semester 4

Operating System

Operating System Laboratory

Microprocessor Architecture & Assembly

Microprocessor Architecture & Assembly Laboratory

Data Structure

Data Structure Laboratory

Java Programming

Java Programming Laboratory

Computer Organization

Python Programming Workshop-1

Database Management System

Database Management System Laboratory

Computer Networks

Computer Networks Laboratory

Analysis of Algorithms

Analysis of Algorithms Laboratory

Fundamentals of Software Engineering

Fundamentals of Software Engineering Laboratory

Python Programming Workshop-2

Probability, Statistics and Numerical Methods

 

Semester 5

Semester 6

Formal Language & Automata Theory

Concepts of Machine Learning Laboratory

Concepts of Machine Learning

Web Application Development

Web Application Development Laboratory

Data Analytics

Data Analytics Laboratory

Basics of Artificial Intelligence

Basics of Artificial Intelligence Laboratory

Industrial Tools for ML Laboratory

Compiler Design

Compiler Design Laboratory

Deep Learning With NLP

Deep Learning With NLP Laboratory

Electrical & Electronic Measurement

Electrical & Electronic Measurement Laboratory

Digital Signal Processing

Digital Signal Processing Laboratory

Project-1

 

 

Semester 7

Semester 8

Communication Engineering

Advanced Control System

Communication Engineering Laboratory

Advanced Control System Laboratory

Framework of Cyber Physical System

Optimization Technique for ML

Framework of Cyber Physical System Laboratory

Project-2

Internship/ Industry Project Training

 

 

Computer Science and Engineering with Artificial Intelligence Curriculum Laboratories


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Computer Labs

The faculty is equipped with a total of 15 computer laboratories which are strategically designed to provide students with the most vital practical training exposure.

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Nvidia GPU Centre

An Nvidia research center offers essential support to research projects of global significance and explores challenging subjects in the areas of visual,

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RedHat

The Red-hot training centre provides students with the vital hands on training exposure in instruction across platform, middleware and

https://paruluniversity.ac.in/Open Source Technology Lab

Open Source Technology Lab

https://paruluniversity.ac.in/Database Lab

Database Lab

https://paruluniversity.ac.in/System Software Lab

System Software Lab

https://paruluniversity.ac.in/UNIX Lab

UNIX Lab

https://paruluniversity.ac.in/Network Lab

Network Lab

https://paruluniversity.ac.in/Programming Lab

Programming Lab

https://paruluniversity.ac.in/Application Lab

Application Lab

https://paruluniversity.ac.in/Research and Development  Lab

Research and Development Lab

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