SET-04
Under Graduation
4 Years
Programme overview
B.Tech in Artificial Intelligence (AI) degree Program has seen an exponential growth in the last few years. It is fueled by the explosion in the use of Internet, extensive penetration of smart phones, increasing use of online services, social media, e-banking and increasing incidents on Human workload. Artificial intelligence aims to make systems capable of human-like decision-making and action..AI is set to disrupt practically every industry imaginable, and mechatronics is no different. The powerful combination of mechatronics and AI/ machine learning is opening the door to entirely new automation possibilities. Artificial intelligence and Virtual Reality and Robotics laboratories at Mechatronics Engineering programme provides state of art facilities for the students to excel in development of AI systems.
The government plans to deploy AI in 10 sectors in India. Therefore, ample career opportunities exist in private companies, public organizations, education, government institutions, and the healthcare industry. Additionally, top IT companies are looking at aggressively hiring Engineers specializing in Artificial Intelligence & Machine Learning. This course is best suited for students seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies which help to stand in the crowd and grow careers in the upcoming technological era.
Program Objectives
The objective of B.Tech AI program is to inculcate the students with the basic knowledge of engineering and to excel in technical profession/ industry and/or higher education by providing a strong foundation in mathematics, science and engineering.
The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. The students shall explore the practical components of developing AI apps and platforms. Proficiency in mathematics will thrive, as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.
Candidates with following skills can opt for B.Tech in AI:
- Candidates who had the ability to use algorithms and rules to solve issues.
Candidates who have the dream of becoming an entrepreneur
The objective of B.Tech in CSE(AI) program is to inculcate the students with the basic knowledge of engineering and to excel in technical profession/ industry and/or higher education by providing a strong foundation in mathematics, science and engineer
Under graduate students is prepared to become a technically qualified engineer to address complex problems and be able to apply learned skills in engineering careers.
Program Outcomes
In OSGU, Bachelor of Technology degree is a professional engineering undergraduate degree awarded after completion of four years of academic study in engineering field. Booming IT sector in India has plenty of jobs for fresh computer science graduates. Besides, the Computer Engineers have plenty of options to work in IT companies in departments such as design, development, assembly, manufacture and maintenance, etc. Working as a programmer, web developer, and E- commerce specialist with telecommunications companies, automotive companies, aerospace companies, etc. can be a lucrative career option as well.
Companies in India that hire professionals holding a B.Tech in CSE specialization in Artificial Intelligence (AI):
- Atkins
- Microsoft
- Amazon
- Intel Technology
- Bosch Group
Career Path
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Scientist
- Natural Language Processing Scientist
- Automation and Optimization Engineer
- Game developer
- AI Engineer
- Service Robotics
- Industrial Automation
- Condition monitoring
- Modeling and simulation of advanced automation systems
- Virtual reality
Eligibility Criteria
Minimum percentage and others criteria for admission will be as per UGC/ Concerned Regulatory Bodies.
Provided below are the criteria that need to be met for the given course.
For National Students
- The Candidate should have passed 10+2 examination with Physics, Mathematics and English as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/Technical Vocational subject.
- B Tech 2nd year (LEET): Diploma Engineering and Technology OR B.Sc. Degree and 10+2 with Mathematics OR Passed D.Voc. Stream in the same or allied sector.
For International Students
- Rule framed by University Grants Commission (UGC) and notified in its website www.ugc.ac.in will be followed for deciding the eligibility and admission of International students to various courses offered in Om Sterling Global University, Hisar.
Programme Syllabus
Semester I
| S.No. | Subject |
|---|---|
| 01. | Introduction to Electromagnetic Theory |
| 02. | Introduction to Mechanics |
| 03. | Introduction to Quantum Mechanics |
| 04. | Oscillations, Waves and Optics |
| 05. | Semiconductor Physics |
| 06. | Practical Based on Electromagnetic Theory |
| 07. | Practical Based on Mechanics |
| 08. | Practical Based on Quantum Mechanics |
| 09 | Practical Based on Oscillations, Waves and Optics |
| 10. | Practical Based on Semiconductor Physics |
| 11. | Mathematics-I |
| 12. | Mathematics-I(for CSE/IT) |
| 13. | Basic Electrical Engineering |
| 14. | Practical Based on Basic Electrical Engineering |
| 15. | Problem Solving using C |
| 16. | Induction Training |
Semester II
| S.No. | Subject |
|---|---|
| 01. | Chemistry-I |
| 02. | Practical Based on Chemistry-I |
| 03. | Mathematics-II |
| 04. | Web Designing |
| 05. | Practical Based on Web Designing |
| 06. | IT Workshop |
| 07. | English |
| 08. | Environmental Science |
Semester III
| S.No. | Subject |
|---|---|
| 01. | CTS-1 Building Essential Language and life skills. |
| 02. | Introduction to Biology for Engineers |
| 03. | Discrete Structures |
| 04. | Computer Organization and Architecture |
| 05. | Data Structures Using C |
| 06. | OOPS Using Java |
| 07. | Project Based Learning (PBL) -1 |
| 08. | Industrial Internship |
| 09. | Soft computing |
Semester IV
| S.No. | Subject |
|---|---|
| 01. | CTS-2 Communicate to conquer |
| 02. | Principles of Operating System |
| 03. | Computer Networks |
| 04. | Data Base Management System |
| 05. | Management Course (from basket) |
| 06. | Project Based Learning (PBL) -2 |
| 07. | Environmental Science |
| 08. | Advance Java Lab |
| 09. | Pattern Recognition |
Semester V
| S.No. | Subject |
|---|---|
| 01. | CTS-3 Impress 2 Impact |
| 02. | Design and Analysis of Algorithm |
| 03. | Theory of Computation |
| 04. | Software Engineering and Testing Methodologies |
| 05. | Program Elective-1 |
| 06. | Technical Skill Enhancement Course-1(LINUX Programming Lab) |
| 07. | Project Based Learning (PBL) -3 |
| 08. | Open Elective – 1 |
| 09. | Industrial Internship-II |
| 10. | Introduction to Machine Learning |
Semester VI
| S.No. | Subject |
|---|---|
| 01. | CTS-4 Ace the Interview |
| 02. | Compiler Design |
| 03. | Artificial Intelligence |
| 04. | Technical Skill Enhancement Course-2(Statistical Analysis Lab) |
| 05. | Program Elective-2 |
| 06. | Program Elective-3 |
| 07. | Project Based Learning (PBL) -4 |
| 08. | Open Elective – 2 |
| 09. | Neural Networks |
Semester VII
| S.No. | Subject |
|---|---|
| 01. | Program Elective-4 |
| 02. | Web Technologies |
| 03. | Major Project- 1 |
| 04. | Comprehensive Examination |
| 05. | Professional Ethics and Values |
| 06. | Industrial Internship |
| 07. | Open Elective – 3 |
| 08. | CTS-5 Campus to corporate |
| 09. | Introduction to Deep Leaning |
Semester VIII
| S.No. | Subject |
|---|---|
| 01. | Major Project – 2 |
| 02. | Program Elective-5 |
| 03. | Program Elective-6 |
| 04. | Open Elective – 4 |
| 05. | Universal Human Value & Ethics |
| 06. | Robotics and Intelligent Systems |
Program Elective
| S.No. | PE-1 | PE-2 | PE-3 | PE-4 | PE-5 | PE-6 |
|---|---|---|---|---|---|---|
| 01. | Introduction to Mathematical & Statistical Techniques in Computer Science | Introduction to Cloud Computing | Information Retrieval | Digital Image Processing | Fuzzy Logic | Intelligent Agents |
| 02. | Introduction to Graph Theory and its Applications | Natural Language Processing | Introduction to Internet of Things |
How to Apply
If you are having any queries regarding the B. Tech/B. Tech (LEET) ME program you can fill-up the Admission Enquiry Form. If you have any second thoughts on which program to select you can reach out to us via the FREE tele-counseling option. Now, if you have decided that B. Tech/B. Tech (LEET) ME is the perfect course for you, and you want to start a highly-rewarding career in the process fill-up the online application now.
