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Graduate Programmes

B.Tech. (Artificial Intelligence)

Course Overview

  • Program Code
  • 101198
  • Eligibility

  • For Non Sponsored category: Class (X & XII) agg. 60% with (Physics + Mathematics + Third subject*) min 70%

    *Select third Subject from (Chemistry/ Computer Science/Electronics/Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/Entrepreneurship)
    For Sponsored category: Eligibility will be relaxed by 5%

    Aggregate percentage will be calculated on the basis of marks scored in English + Physics + Mathematics + third subjects from the above choices.

    Student should have passed all the subjects of class XII from a recognized board.

     

     

     

  • Duration
  • 4 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 2.09
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
  • 3.135
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1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 2.09
1st Year Sponsored Semester Fee (Rs. in Lacs) : 3.135
  • The students shall have the ability to apply knowledge of science, engineering & technology to design and develop innovative products/ solutions as per industry and societal requirements.
  • The students shall have the ability to examine the impact of engineering solutions in societal, health, safety, legal, cultural and environmental contexts.
  • The students will be able to practice professional ethics and academic integrity and demonstrate these as an individual/ team member/ leader in diverse teams and as an entrepreneur.
  • Students will be able to demonstrate professional attitudes, effective communication and behavioral skills and sustain effective performance in the professional/entrepreneurial careers.
  • The student will have the ability to support and practice independent and life-long learning for professional development.
  • The students shall have the ability to apply knowledge of science, engineering & technology to design and develop innovative products/ solutions as per industry and societal requirements.
  • The students shall have the ability to examine the impact of engineering solutions in societal, health, safety, legal, cultural and environmental contexts.
  • The students will be able to practice professional ethics and academic integrity and demonstrate these as an individual/ team member/ leader in diverse teams and as an entrepreneur.
  • Students will be able to demonstrate professional attitudes, effective communication and behavioral skills and sustain effective performance in the professional/entrepreneurial careers.
  • The student will have the ability to support and practice independent and life-long learning for professional development.
  • The student will apply knowledge of mathematics, sciences and engineering to solve problems using concepts of computer science & engineering and Artificial Intelligence.
  • The student will identify, formulate research literature and analyze computer science & engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences
  • The student will create solutions for analyze computer science & engineering and Artificial Intelligence problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, economical, cultural, societal, and environmental considerations
  • The student will carry out investigations of problems using research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of information to provide valid conclusions.
  • The student will create, select and apply appropriate techniques, resources and modern engineering and IT tools, necessary for computing practices as per the Industrial trends with an understanding of the limitations.
  • The student will apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and consequent responsibilities relevant to the professional engineering practice.
  • The student will recognize the impact of the professional engineering solutions in political, economic, global, societal and environmental contexts and demonstrate the knowledge if and need for the sustainable development.
  • The student will apply ethical principles and practice professional ethics and responsibilities and norms of the engineering practice
  • The student will demonstrate effectiveness as an individual and as a member or leader of team assembled to undertake a common goal in multidisciplinary settings
  • The student will use effective communication to cater to both technical and non-technical audiences.
  • The student will demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team as well as to manage projects in multidisciplinary environments.
  • The student will recognize the need for, and will engage in independent and life-long learning in the broadest context of technological change and contemporary issues.
  • 1. Graduates will have ability to apply the knowledge of mathematics, science, engineering fundamentals, and Artificial Intelligence specializations to solve complex engineering problems.
  • 2. Graduates will have the ability to choose self–directed and active learning through strong intellectual engagement in independent work relevant to Artificial Intelligence for maximizing their potential by utilizing abilities and academic excellence and furthermore, think independently, analytically, and creatively through self-directed learning.
  • 3. Graduates will have the ability to use research-based knowledge and methods including design of experiments, analysis and interpretation of data, and synthesis of the information to arrive at valid conclusions, exercise critical judgment and thinking to create new systems / products / services etc.
  • Graduates will have the ability to create, select, and apply modern engineering techniques, resources, and IT tools for modelling and simulation of engineering problems, develop self-paced learning through various tools and techniques of ICT.
  • 5. Graduates will have the ability to apply critical, creative, and evidence-based thinking for creating solutions of engineering problems and to design system components or processes that meet the specified needs with appropriate consideration for the public health, safety, cultural, societal, and environmental considerations.
  • 6. Graduates will have the ability to communicate effectively on engineering activities with the engineering professionals and society at large, such as, being able to comprehend and write effective reports, make effective presentations, give & receive clear instructions by utilizing various Information Technology tools and skills.
  • 7. Graduates will have the ability to demonstrate scientific creativity and reflective thinking to critically evaluate ideas for developing innovative processes and products relevant to industry/societal needs.
  • 8. Graduates will have the ability to demonstrate analytical and decision-making skills to identify, formulate, and analyze complex engineering problems reaching substantiated conclusions using concepts of mathematics, science & engineering.
  • 9. Graduates will have the ability to function effectively as an individual, and as a member or leader in diverse teams, VUCA world and multidisciplinary settings for making the organization resourceful and achieving organization goals.
  • Graduates will have the ability to apply contextual knowledge to assess societal, health, safety, legal, cultural issues, and the consequent responsibilities relevant to the professional engineering practice, appreciate diversity (caste, ethnicity, gender and marginalization), values and beliefs of multiple cultures in a global perspective .
  • 11. Graduates will have the ability to demonstrate ethical practices in professional field, display integrity at workplace and be responsible global citizens, and appreciate concerns on environment sustainability.
  • 12. Graduates will have the ability to acquire social and emotional skills to work effectively with diverse group of people in multi-cultural environment and situations, demonstrate adaptability and resilience during uncertain situations.
  • 13. Graduates will have the ability to demonstrate knowledge and understanding of the engineering & management principles and use these enterprising skills to bring new business ideas and product of innovative designs with a social impact to start a new venture.
  • 14. Graduates will have the ability to develop independent thinking and life-long learning in broader context of technological changes, explore new ideas and learning opportunities for self-directed learning.
  • Graduates will have the ability to understand the impact of the professional engineering solutions in societal and environmental contexts and develop sustainable technologies using Artificial Intelligence knowledge.

Course Structure

    Semester 1

  • Aspects of Indian History for Engineers [Human Social Sciences & Management Courses]
  • Economics for Engineers [Human Social Sciences & Management Courses]
  • Basic Electrical Engineering [Engineering Sciences Courses]
  • Engineering Graphics Lab [Engineering Sciences Courses]
  • Introduction to Environmental Studies [Engineering Sciences Courses]
  • Applied Mathematics- I [Basic Sciences Courses]
  • Engineering Chemistry [Basic Sciences Courses]
  • Technical Communication – I [Communication Skills]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

    Semester 2

  • Law for Engineers [Human Social Sciences & Management Courses]
  • Sociology for Engineers [Human Social Sciences & Management Courses]
  • Engineering Mechanics [Engineering Sciences Courses]
  • Workshop Practices [Engineering Sciences Courses]
  • Applied Mathematics - II [Basic Sciences Courses]
  • Engineering Physics [Basic Sciences Courses]
  • Introduction to Computers and Programming in C [Basic Sciences Courses]
  • Technical Communication – II [Communication Skills]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

    Semester 3

  • Term Paper [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Intelligent Systems and design thinking [Engineering Sciences Courses]
  • Machine Learning: Theory and Applications [Engineering Sciences Courses]
  • Programming in Python [Engineering Sciences Courses]
  • Data Structures Using C [Core Courses]
  • Database Management Systems [Core Courses]
  • Applied Mathematics- III [Basic Sciences Courses]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

    Semester 4

  • Basic Simulation Lab [Engineering Sciences Courses]
  • Deep Neural Networks [Core Courses]
  • Digital Electronics and Computer Organization [Core Courses]
  • Operating System [Core Courses]
  • Applied Mathematics-IV [Basic Sciences Courses]
  • Self-Reliance and Socialization [Behavioural Science]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

    Semester 5

  • In-House Practical Training [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • AI Tools [Specialisation Elective Courses]
  • Concepts of Virtual and Augmented reality [Specialisation Elective Courses]
  • Gaming & Virtual Reality [Specialisation Elective Courses]
  • Multi Agent Systems [Specialisation Elective Courses]
  • Social and Information Network Analysis [Specialisation Elective Courses]
  • Soft Computing and Applications [Specialisation Elective Courses]
  • Visual Computing and Animation [Specialisation Elective Courses]
  • Cloud Computing Practitioner [Industry Specific Courses]
  • ServiceNow System Administrator [Industry Specific Courses]
  • Advanced Deep Neural Networks [Core Courses]
  • Applied Probability and Statistics [Core Courses]
  • Exploring the Networks [Core Courses]
  • Cognitive Skills, Leadership and Decision Making [Behavioural Science]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

    Semester 6

  • AI Tools [Specialisation Elective Courses]
  • Cloud Computing Practitioner [Specialisation Elective Courses]
  • Cyber Security [Specialisation Elective Courses]
  • Java Programming [Specialisation Elective Courses]
  • Software Engineering [Specialisation Elective Courses]
  • Programming & Employability Skills for Computer Engineers [Employability & Skill Enhancement Courses]
  • Big Data Analytics [Core Courses]
  • Internet of Things: Sensing and Actuator Devices [Core Courses]
  • Natural Language Processing with Deep Learning [Core Courses]
  • Principles of Robot Autonomy [Core Courses]
  • Professional Ethics and Social Responsibility [Professional Ethics]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

    Semester 7

  • Industry Internship [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • A.I. in Healthcare [Specialisation Elective Courses]
  • Advanced Robotic Process Automation [Specialisation Elective Courses]
  • Cloud Security [Specialisation Elective Courses]
  • Conversational A.I. [Specialisation Elective Courses]
  • Digital Image Processing and Computer Vision [Specialisation Elective Courses]
  • Recommender System [Specialisation Elective Courses]
  • Reinforcement Learning [Specialisation Elective Courses]
  • Time Series Analysis for AI [Specialisation Elective Courses]
  • Big Data Architecture [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
  • Blockchain and its Applications [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
  • Computer Vision and Image Processing - Fundamentals and Applications [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
  • Minor Project [Mandatory Courses]
  • Aspects of Indian History for Engineers [Human Social Sciences & Management Courses]
  • Economics for Engineers [Human Social Sciences & Management Courses]
  • Law for Engineers [Human Social Sciences & Management Courses]
  • Sociology for Engineers [Human Social Sciences & Management Courses]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

    Semester 8

  • Major Project [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Admission FAQ's

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