B.Tech Computer Science & Engineering (Artificial Intelligence & Machine Learning)

Program Code 101751

Campus Noida

Institute Amity School of Engineering and Technology

University Amity University Uttar Pradesh

Eligibility For Non Sponsored category: Class ...

Duration 4 Years

Selection Process Personal Interview

  • Program Fee (Rs. in Lacs)
  • 1st Year Non Sponsored Semester 2.19
  • 1st Year Sponsored Semester Fee 3.285
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Course Structure

  • 1st Year
  • 2nd Year
  • 3rd Year
  • 4th Year

Semester – 1

    Domain Elective Courses
  • Applied Mathematics – I
    Basic Sciences Courses
  • Engineering Physics
    Engineering Sciences Courses
  • Engineering Mechanics
  • Introduction to Computers and Programming in C
  • Workshop practices
    Human Social Sciences & Management Courses
  • Law for Engineers
  • Sociology for Engineers
    Common Curriculum Courses
  • Technical Communication - I

Semester – 2

    Basic Sciences Courses
  • Applied Mathematics – II
  • Engineering Chemistry
    Engineering Sciences Courses
  • Basic Electrical Engineering
  • Introduction to Environmental Studies
  • Engineering Graphics Lab
    Human Social Sciences & Management Courses
  • Economics for Engineers
  • Aspect of Indian History for Engineers
    Common Curriculum Courses
  • Technical communication - II
  • Foreign Business Language - I(Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)

Semester – 3

    Basic Sciences Courses
  • Applied Mathematics- III
    Engineering Sciences Courses
  • Digital Logic & Computer Architecture
  • Basic Electronics Engineering
  • Object Oriented Programming Using C++
    Professional Core Courses
  • Machine Learning Theory & Applications
  • Data Structures Using C
    Common Curriculum Courses
  • Foreign Business Language - II (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
  • Self-Reliance and Socialization
  • Human Values and Community Outreach
  • Internship - I

Semester – 4

    Basic Sciences Courses
  • Applied Mathematics- IV
    Engineering Sciences Courses
  • Deep Neural Network
    Professional Core Courses
  • Operating System
  • Theory of Computation
  • Java Programming
  • Discrete Mathematic Structure
    Common Curriculum Courses
  • Cognitive Analytics & Social Skills for Professional Development
  • Foreign Business Language - III (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)

Semester – 5

    Professional Core Courses
  • Exploring the Networks
  • Database Management Systems
  • Analysis & Design of Algorithm
    Professional Elective Courses
  • Soft Computing & Applications
  • Digital Image Processing and Computer Vision
  • Advanced Deep Neural Networks
    Common Curriculum Courses
  • Professional Ethics and Social Responsibility
  • Foreign Business Language - IV (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
    Non-Teaching Credit Courses
  • Internship - III
    Career Aspirations based Courses (Mandatory Courses)
  • Career Aspirations based Courses - I

Semester – 6

    Professional Core Courses
  • Software Engineering
  • Compiler Construction
    Professional Elective Courses
  • Applied Probability & Statistics
  • Generative AI
  • Advanced Deep Neural Network
  • Large language Models
  • AI Tools
  • Introduction to Natural Language Processing
    Domain Elective Courses
  • Domain Elective courses - I
    Open Elective Courses/ Multidisciplinary
  • Open Elective Courses - I
    Career Aspirations based Courses (Mandatory Courses)
  • Career Aspirations based Courses - I

Semester – 7

    Professional Elective Courses
  • Linux for Devices
  • Parallel Algorithms
  • AI in Healthcare
  • Recommender system
  • Introduction to statistical tools in research
  • Multi-modal AI
  • Human Computer Interac-tion
    Non-Teaching Credit Courses
  • Internship - III
  • Minor Project (Mandatory)
    Career Aspirations based Courses (Mandatory Courses)
  • Career Aspirations based Courses - II

Semester – 8

    Non-Teaching Credit Courses
  • Major Project