Mechanical Engineering with AI and ML
Transforming Ideas into Digital Solutions at the Best Private University in Junagadh
Latest News and Events
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.
Remedial Result Declaration for B.Tech Sem 1
Results for the Remedial Examinations of B.Tech Sem 1 have been declared
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
Expert Talk on Graphics Design Using Photoshop
Dr. Subhash University, CSE/IT Department Organized Expert Talk on Graphics Design Using Photoshop
Expert Talk on Basic To Advance Excel
CSE/IT Department Organized Expert Talk on Basic To Advance Excel
Workshop on “Cyber Security”
Dr. Subhash University CSE/IT Department Organized Workshop on “Cyber Security”
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.
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
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
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
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
Introduction to course
The B.Tech in Mechanical Engineering with specialization in Artificial Intelligence and Machine Learning (AI & ML) at Dr. Subhash University offers a pioneering curriculum that bridges the gap between traditional mechanical systems and intelligent automation. This interdisciplinary program blends core mechanical engineering concepts with AI & ML applications, preparing students for the next generation of smart manufacturing, robotics, predictive maintenance, and intelligent design. Students gain a deep understanding of how AI & ML can be applied to solve complex engineering problems and enhance decision-making processes in real-world industrial environments.
Mission
- To provide quality education in mechanical engineering enriched with AI & ML tools and applications.
- To equip students with advanced problem-solving capabilities for intelligent systems and modern manufacturing.
- To nurture innovation, research aptitude, and industry-readiness through practical learning and ethical practice.
- To create a new generation of mechanical engineers with digital intelligence and smart automation expertise.
Vision
To emerge as a center of excellence in Mechanical Engineering integrated with Artificial Intelligence and Machine Learning, fostering innovation and preparing students to lead in the era of Industry 4.0 and beyond.
Course objective
- To build a solid foundation in mechanical engineering principles integrated with AI and machine learning techniques.
- To train students in using data-driven models for design optimization, fault detection, and smart diagnostics.
- To prepare students to work with intelligent systems in areas like robotics, mechatronics, and smart manufacturing.
- To instill skills in software tools, simulation platforms, and programming languages relevant to AI in mechanical applications.
- To develop critical thinking, analytical abilities, and innovation-oriented mindsets.
Course outcome
Graduates of this program will be able to:
- Apply AI & ML concepts to mechanical engineering challenges such as predictive maintenance, smart design, and automation.
- Use data analytics and simulation tools to model and optimize mechanical systems.
- Integrate machine learning algorithms into robotics, IoT systems, and industrial automation solutions.
- Demonstrate strong programming, modeling, and decision-making skills for engineering applications.
- Exhibit leadership, ethical awareness, and a commitment to sustainable, tech-driven engineering practices.
- Build careers in advanced manufacturing, robotics, automotive AI, industrial R&D, and smart infrastructure sectors.
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.
Curriculum
- Duration: 4 years
- Fees: Rs. 77,175
- Intake: 60
| 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) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 3140702 | Operating System | 4 | 0 | 2 | 6 |
| 3140705 | Object Oriented Programming -I | 4 | 0 | 2 | 6 |
| 3140707 | Computer Organization & Architecture | 0 | 0 | 2 | 5 |
| 3140708 | Discrete Mathematics | 3 | 0 | 2 | 5 |
| 3140005 | Design Engineering 1 B | 0 | 0 | 2 | 1 |
| 3140709 | Principles of Economics and Management | 3 | 0 | 0 | 3 |
| GTU Code | Subject | Theory(Hrs) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 3150001 | Design Engineering - II A | 0 | 0 | 2 | 1 |
| 3150004 | Contributor Personality Development Program | 2 | 0 | 0 | 2 |
| 3150005 | Integrated Personality Development Course | 2 | 0 | 2 | 2 |
| 3150703 | Analysis & Design of Algorithms | 4 | 0 | 2 | 5 |
| 3150709 | Professional ethics | 3 | 0 | 0 | 3 |
| 3150710 | Computer Networks | 4 | 0 | 2 | 5 |
| 3150714 | Cyber Security | 2 | 0 | 2 | 3 |
| 3151604 | Software Engineering | 3 | 0 | 2 | 4 |
| 3151605 | Computer Graphics | 3 | 0 | 2 | 4 |
| 3151606 | Python for Data Science | 2 | 0 | 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) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 2170002 | Project | 0 | 0 | 5 | 5 |
| 2170709 | Information and Network Security | 4 | 0 | 2 | 6 |
| 2170710 | Mobile Computing and Wireless Communication | 4 | 0 | 2 | 6 |
| 2170715 | Data Mining and Business Intelligence | 4 | 0 | 2 | 6 |
| 2171607 | Big Data Analytics | 3 | 0 | 2 | 5 |
| 2170713 | Service Oriented Computing | 3 | 0 | 2 | 5 |
| 2170714 | Distributed DBMS | 3 | 0 | 2 | 5 |
| GTU Code | Subject | Theory(Hrs) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 2180703 | Artificial Intelligence | 4 | 0 | 2 | 6 |
| 2180606 | Project (Phase-II) | 0 | 0 | 16 | 16 |
| 2180709 | IOT and Applications | 3 | 0 | 2 | 5 |
| 2180711 | Python Programming | 3 | 0 | 2 | 5 |
| 2181607 | Mutlimedia and Animation | 3 | 0 | 2 | 5 |
| 2180713 | Web Data Management | 3 | 0 | 2 | 5 |
| 2180712 | Cloud Infrastructure and Services | 3 | 0 | 2 | 5 |
| 2180714 | iOS Programming | 3 | 0 | 2 | 5 |
Faculty
Labs and facilities
