B.Tech Artificial Intelligence and Machine Learning

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About Program

We offer a four-year B.Tech. programme in Artificial Intelligence and Machine Learning that includes paramount Computer Science courses as well as AI and ML courses. This course will teach you the fundamentals of Mathematics, Network architectures, Computer Vision, Programming, Communication Networks, and Machine Learning subjects like Natural Language Processing, Image Analysis, and Text Analytics, as well as their applications in areas ranging from vision to automated reasoning. 

Data Engineer, Automation and Optimization Engineer, Natural Language Processing Scientist, Game Developer, Robotics Professional, Research Scientist, Machine Learning developer, AI Consultant, and Machine Learning Architect are some of the roles created by Artificial Intelligence and Machine Learning for expert professionals in major organizations Like Microsoft, Amazon, Netflix, and Google. 

 Further details on B.Tech (AI & ML), regarding the programme structure, and regulations of the programme, including the requirements for graduation are made available here.

Program Overview

  1. PEO1: Graduate will establish himself/herself as effective professionals by solving real-world problems using investigative and analytical skills along with the knowledge acquired in the field of Computer Science and Engineering.
  2. PEO2: Graduate will demonstrate his/her ability to adapt to a rapidly changing environment in advanced areas of Computer Science and scale new heights in their profession through lifelong learning.
  3. PEO3: Graduate will prove his/her ability to work and communicate effectively as a team member and /or leader to complete the task with minimal resources, meeting deadlines.
  4. PEO4: Graduate will embrace the professional code of ethics in the profession while deliberately being part of projects, which contributes to the society at large, without disturbing the ecological balance.

PO1: Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.PO2: Problem Analysis: Identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: Design/ Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.

PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of information to provide valid conclusions.

PO5: Modern Tool Usage: Create, select and apply appropriate techniques, resources. and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.

PO7:  Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.

PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

PO9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.

PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.

PO11: Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12: Life-long Learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong learning in the broadest context of Technological Change.

PSO1: To face future difficulties, the ability to comprehend, analyze, and demonstrate an understanding of human cognition, artificial intelligence, machine learning, and data engineering in terms of real-world situations.

PSO2: The capacity to build computational knowledge and project development abilities in the fields of Computer Vision, Deep Learning, Machine Learning, and Artificial Intelligence using cutting-edge tools.

Course Curriculum

I Semester

Sl.No Code Title of Course L T P Credits
1 A7003 Linear Algebra and Optimization 3 0 0 3
2 A7011 Applied Chemistry 2 0 2 3
3 A7016 English for Communication 2 0 2 3
4 A7501 Problem Solving through C 2 0 2 3
5 A7203 Elements of Electrical Engineering 3 0 2 4
6 A7404 Digital Electronics 2 0 0 2
7 A7021 Social Innovation 0 0 2 1

II Semester

Sl.No Code Title of Course L T P Credits
1 A7004 Numerical Methods and Calculus 3 1 0 4
2 A7008 Applied Physics 2 0 2 3
3 A7017 Business English 1 0 2 2
4 A7502 Data Structures 2 0 2 3
5 A7503 Python Programming 0 0 2 1
6 A7504 Computer Organization and Architecture 3 0 0 3
7 A7303 Engineering Workshop and Computer Aided Drawing 0 0 4 2
8 A7022 Engineering Exploration 0 0 2 1

III Semester

Sl.No Code Title of Course L T P Credits
1 A5002 Advanced Calculus 3 1 2 5
2 A5003 Applied Physics 3 0 2 4
3 A5005 Communicative English 2 0 2 3
4 A5502 Data Structures 3 0 2 4
5 A5301 Engineering Drawing& Computer Aided Drafting 1 0 4 3
6 A5006 Social Innovation 0 0 2 1

IV Semester

Sl.No Code Title of Course L T P Credits
1 A5507 Operating systems 3 0 2 4
2 A5506 Database Management Systems 3 0 2 4
3 A5508 Design and Analysis of Algorithms 3 0 0 3
4 A5509 Computer Networks 3 0 2 4
5 A5510 Basics of IoT and Robotics 3 0 2 4
6 A5013 Verbal Ability and Logical Reasoning 1 0 0 1
7 A5511 Data Visualization 0 0 2 1
8 A5011 Gender Sensitization 2 0 0 0

V Semester

Sl.No Code Title of Course L T P Credits
1 A5512 Machine Learning with Python 3 0 2 4
2 A5605 Software Engineering 3 0 2 4
3 A5603 Web Technologies 3 0 2 4
4 A5606 Mobile Application Development 3 0 2 4
5 Professional Elective-I 3 0 0 3
6 A5513 Internship-I 0 0 4 2
7 A5016 Engineering Design Thinking 0 0 2 1
8 A5019 Indian Constitution 2 0 0 0

VI Semester

Sl.No Code Title of Course L T P Credits
1 A5514 Big Data Analytics 3 0 2 4
2 A5515 Foundations of Deep Learning 3 0 2 4
3 A5516 Cloud Computing and Virtualization 3 0 2 4
4 Professional Elective-II 3 0 0 3
5 Open Elective-I 3 0 0 3
6 A5517 Dynamic Web Application Development 0 0 2 1
7 A5518 Mini Project 0 0 4 2
8 A5017 Product Realization 0 0 2 1
9 A5018 Essence of Indian Traditional Knowledge 2 0 0 0

VII Semester

Sl.No Code Title of Course L T P Credits
1 A5519 Data Analytics using R 2 0 4 4
2 A5520 Artificial Intelligence 3 0 0 3
3 Professional Elective-III 3 0 0 3
4 Open Elective-II 3 0 0 3
5 A5521 Internship-II 0 0 4 2
6 A5522 Project Work Phase-I 0 0 8 4

VIII Semester

Sl.No Code Title of Course L T P Credits
1 A5020 Management Science 3 0 0 3
2 Professional Elective-IV 3 0 0 3
3 Open Elective-III 3 0 0 3
4 A5523 Project Work Phase –II 0 0 16 8