B.Tech
CSE with specialization in Artificial Intelligence and Machine Learning
B.Tech
CSE with specialization in Artificial Intelligence and Machine Learning
Sandip University helps students attain a world-class and industry-relevant education in AI and Machine Learning. A B.Tech in Artificial Intelligence & Machine Learning at Sandip University comprises of the core concepts of Machine Learning along with the fundamentals of Artificial Intelligence. It enables students to provide solutions to scientific, technological, and complex real world problems. This program aims to teach students the essential concepts of artificial intelligence, knowledge representation, intelligent agents, natural language processing, machine learning, cognitive modelling and applications of artificial intelligence in Block chain and other technologies. It also enables students to obtain programming skills, mathematical reasoning skills, and communication skills.
Artificial Intelligence (AI) as a term has been around since 1955. Analysts have predicted AI to become a $46 billion market by 2020. Government of India has appointed a task force to boost the AI sector in India, for developing AI technologies, to data usage and research to work with the private sector and develop technologies, with a focus on smart cities, power and water infrastructure, crop management to fighting terrorism. The government plans to deploy AI in 10 sectors in India. Therefore, ample career opportunities exist in private companies, public organisations, education, government institutions, and the healthcare industry. Additionally, top IT companies are looking at aggressively hiring Engineers specialising in Artificial Intelligence & Machine Learning. After specialisation in AI and Machine Learning students can explore job profiles like
Companies in India that hire professionals holding a B.Tech in Computer Science & Engineering specialization in AI & Machine Learning:
| Mathematics for Intelligent System –I | Applied Science |
| Differential Calculus | Engineering Graphics |
| Foundation of Artificial Intelligence & Machine Learning | Environmental Studies (MOOC, SWAYAM) |
| Workshop Practice | |
| Mathematics for Intelligent System II | Programming and Problem Solving Concepts |
| Engineering Mechanics | Introduction to C computing and Programming languages |
| Fundamentals of Electrical and Electronics Engineering | Introduction to Python |
| Technical Communication (HSS) (MOOC) | |
| Discrete Mathematics and Logic | Digital Design and Computer Organization |
| Object Oriented Programming | Data Structures |
| Supervised Learning | Object Oriented Programming Lab |
| Data Structure Lab | Supervised Learning Lab |
| Industry Internship | |
| Statistical Analysis | Object Oriented Programming in Java |
| Database Management System | Unsupervised Learning and Neural Network |
| Fuzzy Logic | Object Oriented Programming in Java Lab |
| Database Management System Lab | Unsupervised Learning and Neural Network lab |
| English Communication and Soft Skill | Foreign Language (French I / German I) |
| Formal Languages and Automata Theory | Operating System |
| Advanced Neural Network & Deep Learning | Natural Language Processing |
| Computer Networks | Advanced Neural Network Lab |
| Natural Language Processing Lab | Industry Internship II |
| Employability Skill | Audit Course – I |
| Design and Analysis of Algorithm | Software Engineering and Project Management |
| Search Algorithms | Computer Vision & Image Processing |
| Open Elective I | Search Algorithms Lab |
| Computer Vision & Image Processing Lab | Seminars |
| Professional skill | Audit Course – II |
| Object Oriented Analysis and Design | AI Using Robotics |
| Applications Designing Using Python | Open Elective II |
| AI Using Robotics Lab | Applications Designing Using Python Lab |
| Project Stage – I | Internship III |
| Audit Course-III | |
| Program Elective I | Program Elective II |
| Program Elective III | Dissertation Stage - II |
| Open Elective I | |
|---|---|
| Web Technology | E-Commerce |
| Business Intelligence | Data Mining |
| Open Elective II | |
| Cloud Computing and Virtualization | Cyber Laws |
| Introduction to Intellectual Property to Engineers and Technologists | Advanced Computer Network |
| Program Elective I | |
| Advance Software Engineering | Software Project Management |
| Grid and Cluster Computing | Machine Learning |
| Program Elective II | |
| Neural Networks | Soft Computing |
| Mobile Computing | Ubiquitous Computing |
| Program Elective III | |
| Information Storage and Retrieval | Distributes System |
| Advanced Databases | Embedded and Real Time Operating System |
|
CIA:Continuous Internal Assessment L:Theory Lecture T:Tutorial P:Practical TH:Theory Exam. |
#:Internship for 15 Days. *:Oral Examination UC:University Core PC:Programme Core PE:Programme Elective |
CIA |
Weightage |
Description |
|
CIA 1 |
10% |
Home Assignment |
||
|
CIA 2 |
20% |
Mid-Term Exam(MTE) |
||
|
CIA 3 |
10% |
Seminar Presentation |
||
|
CIA 4 |
10% |
Research Based |
||
|
TOTAL |
50% |
|
| Programme | Sem | Year | Mode | Eligibility | Academic Fees Per Year (INR) |
Special Fees (Incl. Library Fee & Examination Fees) Per Year (INR) |
Fees Per Year |
|---|---|---|---|---|---|---|---|
SCHOOL OF COMPUTER SCIENCES & ENGINEERING (UG) |
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| B. Tech CSE with specialization in Artificial Intelligence and Machine Learning | 8 | 4 | Sem |
Passed 10+2 examination with Physics/ Mathematics / Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship as per table1.3(a) Agriculture stream (for Agriculture Engineering) Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together OR Passed min. 3 years Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the programme). |
Rs 1,20,000/- | Rs 10,000 /- | Rs 1,30,000/- |
SCHOOL OF COMPUTER SCIENCES & ENGINEERING (UG-LATERAL ENTRY) |
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| B.Tech. Artificial Intelligence & Machine Learning | 6 | 3 | Sem |
Passed Minimum Three years/Two years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in Any branch of Engineering and Technology. OR Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject. OR Passed D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics,Physics,Engineering drawing etc, for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme) Refer table 1.10 of Appendix-1 |
Rs 1,20,000/- | Rs 10,000 /- | Rs 1,30,000/- |
