Computer Science Engineering with AI & ML

Transforming Ideas into Digital Solutions at the Best Private University in Junagadh

Latest News and Events

11Apr, 24

Result Declaration – B.Tech Sem 2 Remedial Exam (Winter 2023)

Results for the Remedial Examinations of B.Tech Semester 2, held during Winter 2023, have been declared.

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10Apr, 24

Remedial Result Declaration for B.Tech Sem 1

Results for the Remedial Examinations of B.Tech Sem 1 have been declared

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03Feb, 24

Result Notification – B.Tech Sem – 3 (Regular), M.Tech, Diploma Sem – 2 (Remedial) and BCA Sem – 1 (Remedial) Winter 2023-24

Result Notification - B.Tech Sem - 3 (Regular), M.Tech, Diploma Sem - 2 (Remedial) and BCA Sem - 1 (Remedial) Winter 2023-24

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06May, 23

Expert Talk on Graphics Design Using Photoshop

Dr. Subhash University, CSE/IT Department Organized Expert Talk on Graphics Design Using Photoshop

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08Apr, 23

Expert Talk on Basic To Advance Excel

CSE/IT Department Organized Expert Talk on Basic To Advance Excel

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17Oct, 22

Workshop on “Cyber Security”

Dr. Subhash University CSE/IT Department Organized Workshop on “Cyber Security”

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30Jun, 22

Proud Moment

Received Appreciation From Intel Digital Readiness.

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21Jan, 22

Faculty Development Program on cloud computing using Amazon Web Services (AWS)

Speaker: Hiren Anandwani (CEO, Softrefine PVT LTD)
Date: 21st and 22nd - January-2022
Time: 9:30 AM (onwards)
Topics: Create AWS Account, Deployment WEB services on AWS Server, Use of cloud server.

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30Nov, 21

Hands on Workshop on PL/SQL Programming

Title: Hands-on Workshop on PL/SQL Programming Speaker: Prof. Anju K. Kakkad & Prof. Divyarajsinh N. Parmar Date: 02nd Dec 2021 Time: 10:00 AM to 1:00 PM Topics: Introduction of PL/SQL & Basic of PL/SQL

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23Nov, 21

Hands-On Workshop on Programming in C

Speaker: Prof. Bhoomi M. Bangoria & Prof. Mayur M. Jani
Date: 25th November 2021
Time: 10:00 AM to 1:00 PM
Topics: Basic of C

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22Nov, 21

Hands-On Workshop on SQL Programming

Speaker: Prof. Anju K. Kakkad & Prof. Divyarajsinh N. Parmar
Date: 24th Nov 2021
Time: 10:00 AM to 1:00 PM
Topics: Introduction of SQL & Basic of SQL

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22Sep, 21

A Workshop on Full Stack Development with Angular JS and Node JS

Speaker: Mr. Akash Padhiyar, CEO-Akash Technolobs, Ahmedabad.
Date: 27th September 2021 to 1st Oct 2021
Time: 09:00 AM (IST)
Help Desk: 9974056708, 7600173185

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Introduction to course

The B.Tech in Computer Science & Engineering with specialization in Artificial Intelligence and Machine Learning (AI & ML) at Dr. Subhash University is a forward-thinking program designed to equip students with core computing skills and deep expertise in AI & ML technologies. This program blends foundational knowledge in computer science with cutting-edge techniques in machine learning, neural networks, deep learning, and data analytics. Students will gain hands-on experience through project-based learning, real-world case studies, and exposure to industry-standard tools and platforms.

Mission

To deliver high-quality education in Computer Science & Engineering with a focus on AI & ML that meets industry standards.
To foster a learning environment that promotes innovation, ethical practice, and research.
To nurture competent professionals capable of addressing global technological challenges using intelligent systems.

Vision

To become a center of excellence in Computer Science and Artificial Intelligence education, research, and innovation, producing globally competitive engineers who are industry-ready and socially responsible.

Course objective

To provide a strong foundation in computer science principles along with specialized knowledge in artificial intelligence and machine learning.
To develop students’ skills in programming, data handling, algorithmic thinking, and mathematical modeling.
To train students in modern AI technologies, tools, and frameworks to solve complex, real-world problems.
To encourage innovation, entrepreneurship, and critical thinking through research and project-based learning.
To prepare students for careers in industry, research, and higher studies in the fields of AI, ML, and data science.

Course outcome

By the end of the program, graduates will be able to:

Apply fundamental concepts of computer science and AI to develop intelligent systems.
Design, implement, and evaluate machine learning algorithms to solve real-world challenges.
Analyze large datasets and extract meaningful insights using data science techniques.
Build and deploy AI-powered applications across various domains such as healthcare, finance, and automation.
Demonstrate ethical awareness, teamwork, communication skills, and a commitment to lifelong learning.
Pursue successful careers in AI, machine learning, data analytics, and related emerging technologies.

Admission procedure

Eligibility:

The student who has qualified HSC or equivalent examination in Science stream from recognized board or body is eligible for admission in B.Tech. programme.

Board	Category	Theory Marks	Theory + Practical Marks
GSEB	Open	135 / 300	180 / 400
GSEB	Reserve	120 / 300	180 / 400
Other Boards	Open	108 / 240	135 / 300
Other Boards	Reserve	96 / 240	120 / 300

Admission Process:

Purchase a PIN and Booklet from the recognized bank as informed by the Admission Committee.
Submit an online form with necessary details and upload the documents on the admission portal.
Make suitable choice filling as suggested by the admission committee in due time.
Once the seat allocation is done and a seat is allotted to you, confirm your admission and pay necessary fees online on the portal.
Take print of confirmation letter and payment receipt and report to the allotted institute in prescribed time duration.

For more information about application, refer to

Curriculum

Duration: 4 years
Fees: Rs. 77,175
Intake: 60

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GTU Code	Subject	Theory(Hrs)	Tutorial(Hrs)	Practical(Hrs)	Credits
3110014	Mathematics-I	3	2	0	5
3110018	Physics Group - I	3	0	2	4
3110005	Basic Electrical Engineering	3	0	2	4
3110013	Engineering Graphics & Design	2	0	4	4
3110006	Basic Mechanical Engineering	3	0	2	4

GTU Code	Subject	Theory(Hrs)	Tutorial(Hrs)	Practical(Hrs)	Credits
3110002	English	2	0	2	3
3110003	Programming for Problem Solving	3	0	2	4
3110007	Environmental Science	2	2	0	0
3110012	Workshop/ Manufacturing Practices	0	0	4	2
3110015	Mathematics-II	3	2	0	5
3110016	Basic Electronics	3	0	2	5

GTU Code	Subject	Theory(Hrs)	Tutorial(Hrs)	Practical(Hrs)	Credits
3130006	Probability and Statistics	3	2	0	5
3130702	Data Structures	3	0	4	5
3130703	Database Management System	4	0	2	5
3130704	Digital Fundamentals	3	0	2	4
3130008	Design Engineering - I A	0	0	2	1
3130007	Indian Constitution	2	0	0	0
3130004	Effective Technical Communication	2	0	2	3

GTU Code	Subject	Theory(Hrs)	Practical(Hrs)	Credits
3140702	Operating System	4	2	6
3140705	Object Oriented Programming -I	4	2	6
3140707	Computer Organization & Architecture	0	2	5
3140708	Discrete Mathematics	3	2	5
3140005	Design Engineering 1 B	0	2	1
3140709	Principles of Economics and Management	3	0	3

GTU Code	Subject	Theory(Hrs)	Practical(Hrs)	Credits
3150001	Design Engineering - II A	0	2	1
3150004	Contributor Personality Development Program	2	0	2
3150005	Integrated Personality Development Course	2	2	2
3150703	Analysis & Design of Algorithms	4	2	5
3150709	Professional ethics	3	0	3
3150710	Computer Networks	4	2	5
3150714	Cyber Security	2	2	3
3151604	Software Engineering	3	2	4
3151605	Computer Graphics	3	2	4
3151606	Python for Data Science	2	2	3

GTU Code	Subject	Theory(Hrs)	Tutorial(Hrs)	Practical(Hrs)	Credits
3160001	Design Engineering II B	0	0	2	1
3160002	Contributor Personality Development Program	2	0	2	2
3160003	Integrated Personality Development Course	2	0	0	2
3160704	Theory of Computation	4	1	0	5
3160707	Advanced Java Programming	3	0	2	4
3160712	Microprocessor and Interfacing	3	0	2	4
3160713	Web Programming	3	0	2	4
3160714	Data Mining	3	0	2	4
3160715	System Software	3	0	2	4
3160716	IOT and applications	2	0	2	3
3160717	Data Visualization	2	0	2	3

GTU Code	Subject	Theory(Hrs)	Practical(Hrs)	Credits
2170002	Project	0	5	5
2170709	Information and Network Security	4	2	6
2170710	Mobile Computing and Wireless Communication	4	2	6
2170715	Data Mining and Business Intelligence	4	2	6
2171607	Big Data Analytics	3	2	5
2170713	Service Oriented Computing	3	2	5
2170714	Distributed DBMS	3	2	5

GTU Code	Subject	Theory(Hrs)	Practical(Hrs)	Credits
2180703	Artificial Intelligence	4	2	6
2180606	Project (Phase-II)	0	16	16
2180709	IOT and Applications	3	2	5
2180711	Python Programming	3	2	5
2181607	Mutlimedia and Animation	3	2	5
2180713	Web Data Management	3	2	5
2180712	Cloud Infrastructure and Services	3	2	5
2180714	iOS Programming	3	2	5