Duration: 4 Years / 8 Semesters (Admissions open for the batch 2023-24).
Eligibility: Pass in 10 + 2 / 12th Standard with 45% marks (40% in case of candidate belonging to SC/ST category).
B.Tech. in Robotics, Artificial Intelligence & Machine Learning programme nurtures and develops students as young global Engineers. The programme lays emphasis on preparing students to become competent global business leaders and entrepreneurs by building their capabilities, knowledge, skills and attitude. B.Tech. in Robotics, Artificial Intelligence & Machine Learning is a Four-year graduate programme. The goal of B.Tech. programme is to enable students to become technically competent entrepreneurs in the vast technological sector and to prepare students to become responsible and contributing members of the community.
Lateral Entry: The candidates, who have successfully completed 3 year diploma in Engineering, are eligible to apply for lateral entry into 2nd year of B.Tech. Courses .Candidates will be admitted to second year of the programme only after appearing the Srinivas University selection process for engineering programme.
Courses Offered:: B.Tech. (Mechanical Engineering) B.Tech. (Robotics, Artificial Intelligence & Machine Learning) M.Sc. (Engg.) By Research Ph.D.
Vision and Mission:
Vision:
To become a leading learning centre in Mechanical Engineering by providing students the necessary knowledge and professional skills for innovations, research and development and capability for serving industry and research establishments with a strong concern for societal needs and environment.
Mission:
The Mechanical Engineers find vast job opportunities in almost all the companies in all the fields starting from Automobile, Aerospace, Chemical, FMCG, Manufacturing, Production, and Service based Industries, Software Companies, Educational sector, Government departments like Ministry of Defence, Public Work Departments, Ministry of Transportation etc. Every industry needs the support of Mechanical Engineers for its working and success.
The Department has been recognized as Research and Development Centre by Srinivas University for carrying out Research activities leading to M.Sc.(Engg.) By Research, and Ph.D. Degrees. The department offers UG program namely, B.Tech. (Mechanical Engineering), and B.Tech. (Robotics, Artificial Intelligence & Machine Learning). At present, the department has Ph.D. scholars working on Nanomaterials, Composites, Alternative fuels etc.
Being a private university, we have a feasibility to form our own syllabus. Thus we have approached several industrialists and have framed the syllabus according to the industry requirements and also have introduced 5+1+2 system in each semester where students have made to study 5 theories, one hybrid subject which is a mixture of theoretical and practical application and two labs.
The students of the department will undergo internship in various reputed organizations all over the country. Students participate in various national and international level competitions regularly. The department possesses the state of the art research facilities to support our academic programs and research. Several projects of the students have been funded by the Government of Karnataka. The students of our department work in interdisciplinary projects and have won laurels at National level.
The department has a distinguished record in both teaching and research. The faculty members have excellent academic credentials and are highly regarded. They have publications at national and international levels. Several faculty members serve on the editorial boards of national and international journals, review technical articles for journals on a regular basis and organize conferences and workshops.
SEMESTER 1 | SEMESTER 2 | ||||
S. No. | Subject | Credit/ Marks | S. No | Subject | Credit/ Marks |
1 | Engineering Physics of Materials (S) | 4/100 | 1 | Engineering Chemistry of Materials (S) | 4/100 |
2 | Computer Software Concept & Programming (T) | 4/100 | 2 | Information Communication & Computation Technology (T) | 4/100 |
3 | Elements of Electrical & Electronics (E) | 4/100 | 3 | Elements of Mechanical & Civil Engineering (E) | 4/100 |
4 | Quantitative Techniques in Engineering I/II (M) | 4/100 | 4 | Quantitative Techniques in Engineering I/II (M) | 4/100 |
5 | HOLOSUIT ESEP Practical Electronics Design - I | 2/50 M | 5 | HOLOSUIT ESEP Practical Electronics Design - II | 2/50 M |
6 | Principles of Environmental Studies (ESEP) | 2/50 M | 6 | Constitution & Professional Ethics (ESEP) | 2/50 M |
7 | Lab on Engineering Physics of Materials (EL) | 1.5/100 | 7 | Lab on Engineering Chemistry of Materials (EL) | 1.5/100 |
8 | Workshop Practice (CE & ME) / Electrical & Electronics Lab (EC & CS) (EL) | 2/100 M | 8 | Computer Aided Engineering Drawing Lab (EL) | 2/100 |
9 | Lab on Computer Programming (EL) | 1.5/100 | 9 | Lab on Spreadsheet Programming (EL) | 1.5/100 |
10 | Kannada/ Co-curricular Activities/Sports (ESEP) | – | 10 | Kannada/ Co-curricular Activities/Sports (ESEP) | – |
Total Credit | 25/800 | Total Credit | 25/800 |
SEMESTER 3 | SEMESTER 4 | ||||
S. No. | Subject | Credit/ Marks | S. No | Subject | Credit/ Marks |
1 | Numerical Techniques and Integral Transform | 4/100 | 1 | Probability Theory and Statistical Methods | 4/100 |
2 | Material Science | 4/100 | 2 | Fluid Mechanics | 4/100 |
3 | Computer Aided Machine Drawing | 4/100 | 3 | Kinematics of Mechanics & Simulations | 4/100 |
4 | HOLOSUIT Sub - Introduction to Robot Programming | 4/100 | 4 | HOLOSUIT Sub - Sensors & Actuators | 4/100 |
5 | HOLOSUIT Lab - Robot Programming Lab | 1.5/100 | 5 | HOLOSUIT Lab - Virtual Lab – Sensors & Actuators | 1.5/100 |
6 | Material Testing Lab | 1.5/100 | 6 | Machine Shop | 1.5/100 |
7 | Foundry Lab | 2/100 | 7 | Mechanical Measurement & Metrology Lab | 2/100 |
8 | HOLOSUIT ESEP Printed Circuit Board Designing | 2/50 M | 8 | HOLOSUIT ESEP - 3D Design | 2/50 M |
9 | HOLOSUIT ESEP - Mobile Application Development | 2/50 M | 9 | HOLOSUIT ESEP - Circuit Design Competition | 2/50 M |
10 | Co-curricular Activities/ Sports (ESEP) | - | 10 | Co-curricular Activities/ Sports (ESEP) | - |
Total Credits | 25/800 | Total Credits | 25/800 |
SEMESTER 5 | SEMESTER 6 | ||||
S. No. | Subject | Credit/ Marks | S. No | Subject | Credit/ Marks |
1 | Machine Learning | 4/100 | 1 | Finite Element Analysis | 4/100 |
2 | Control Engineering | 4/100 | 2 | Basics of Robotics | 4/100 |
3 | Core-Elective | 4/100 | 3 | Core-Elective | 4/100 |
4 | HOLOSUIT Sub Robotics Navigation | 4/100 | 4 | HOLOSUIT Sub Robotics Vision based Manipulation | 4/100 |
5 | Mechatronics Lab | 1.5/100 | 5 | Finite Element Analysis Lab | 1.5/100 |
6 | HOLOSUIT Lab - Robotics Navigation Lab | 1.5/100 | 6 | HOLOSUIT Lab - Holosuit based Robotic AI Manipulation Lab | 1.5/100 |
7 | Lab on Core Elective | 1.5/100 | 7 | Lab /Project on Core Elective | 1.5/100 |
8 | HOLOSUIT ESEP - 3D Printing | 2/50 M | 8 | HOLOSUIT ESEP - Codeathon | 2/50 M |
9 | HOLOSUIT ESEP - Workshop on building Practical Robots | 2/50 M | 9 | HOLOSUIT ESEP - Robotics Challenge | 2/50 M |
10 | Co-curricular Activities/ Sports (ESEP) | - | 10 | Co-curricular Activities/ Sports (ESEP) | - |
Total Credits | 25/800 | Total Credits | 25/800 |
Sl No | Core-Elective- 5th Semester | Sl No | Core-Elective- 6th Semester |
1 | Computer Integrated Manufacturing | 1 | Hydraulics and Pneumatics |
2 | Operating Systems | 2 | Python Application Programming |
3 | Elective Sub | 3 | Elective Sub |
SEMESTER 7 | SEMESTER 8 | ||||
S. No. | Subject | Credit/ Marks | S. No | Subject | Credit/ Marks |
1 | Artificial Intelligence | 4/100 | 1 |
Project based Internship with applied Patent In Robitics & AI with HoloSuit |
21/700 |
2 | Operations Research | 4/100 | |||
3 | Core/Elective/Soft | 4/100 | |||
4 | HOLOSUIT Sub - Autonomous Robotics | 4/100 | |||
5 | HOLOSUIT Lab - Autonomous Robotics Lab | 1.5/100 | |||
6 | Lab on Core Elective | 1.5/100 | |||
7 | Project Phase-I - HoloSuit | 2/100 | |||
8 | HOLOSUIT ESEP - Workshop on Assistive technology | 2/50 | |||
9 | HOLOSUIT ESEP - Workshop on Product Development Life Cycle | 2/50 | 9 | Technical Seminar | 2/50 |
10 | Co-curricular Activities/ Sports (ESEP) | - | 10 | Patent Filing | 2/50 |
Total Credits | 25/800 | Total Credits | 25/800 |
Sl No | Core-Elective- 7th Semester | ||
1 | Design of Machine Elements | ||
2 | Internet of Things | ||
3 | Elective Sub - Holosuit |
S.No | Courses | Duration | Annual Fee Structure | |
---|---|---|---|---|
Non-Karnataka | Karnataka | |||
1 |
B.Tech. (Robotics, Artificial Intelligence & Machine Learning) Eligibility : Pass in 10+2/PUC with Physics, Mathematics as compulsory subject along with Chemistry/Biology/Computer Science/Electronics/Bio-Technology with minimum 45% marks (Karnataka SC/ST/OBC : 40%) (NRI : Rs. 25K extra in I Year) (*Conditions apply) |
4 Years (Eight Semesters) |
Year I : Rs. 1,58,000 Year II : Rs. 1,25,500 Year III : Rs. 1,25,500 Year IV : Rs. 1,25,500 Total: Rs. 5,34,500 |
Rs. 1,15,000* Rs. 1,00,500 Rs. 1,00,500 Rs. 1,00,500 Rs. 4,26,500 |
Note :
(1) University Registration Fee, Semester Registration Fee, Eligibility Fee for other State/NRI students,
Examination Fee, Uniform Fee, Hostel Fee, Industry visit fee, Internship fee, Transportation fee, Sports & games
fee, Extra-curricular activity fee, etc., are extra. The course fees mentioned for subsequent years may vary annually
up to 6%.
(2) The University Placement & Training Team will assist the admitted students to get (a) Earn While Learn, (b)
Industry Internship, and (c) Final Job Placement.
(3) Karnataka Quota* : 1. Applicable only to Karnataka students having 50% or more in the applicable subject
combination. 2. To be considered as Karnataka domicile student should have studied last 7 years including
PUC/Degree in the Karnataka
(4) SC/ST/OBC Candidates should submit the Caste Certificate and Income Certificate to become Eligible