B. Tech (Computer Science & Engg.) - 3 Continent

Program Code 10720

Campus Noida

Institute Amity School of Engineering and Technology

University Amity University Uttar Pradesh

Eligibility For Non Sponsored category: Class (X ...

Duration 4 Years

Selection Process Personal Interview

  • Program Fee (Rs. in Lacs)
  • 1st Year Non Sponsored Semester 2.155
  • 1st Year Sponsored Semester Fee 3.235
Apply Now

Course Structure

1st Year

Semester 1

  • Engineering Mechanics [Engineering Sciences Courses]
  • Introduction to Computers and Programming in C [Engineering Sciences Courses]
  • Workshop Practices [Engineering Sciences Courses]
  • Applied Mathematics- I [Basic Sciences Courses]
  • Engineering Physics [Basic Sciences Courses]
  • Technical Communication – I [Communication Skills]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 2

  • Basic Electrical Engineering [Engineering Sciences Courses]
  • Engineering Graphics Lab [Engineering Sciences Courses]
  • Introduction to Environmental Studies [Engineering Sciences Courses]
  • Applied Mathematics - II [Basic Sciences Courses]
  • Engineering Chemistry [Basic Sciences Courses]
  • Technical Communication – II [Communication Skills]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

2nd Year

Semester 3

  • Term Paper [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Basic Electronics Engineering [Engineering Sciences Courses]
  • Material Science [Engineering Sciences Courses]
  • Object Oriented Programming Using C++ [Engineering Sciences Courses]
  • Data Structures Using C [Core Courses]
  • Digital Electronics and Computer Organization [Core Courses]
  • Applied Mathematics- III [Basic Sciences Courses]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 4

  • Self-Reliance and Socialization [Human Social Sciences & Management Courses]
  • Basic Simulation Lab [Engineering Sciences Courses]
  • Discrete Mathematical Structures [Core Courses]
  • Java Programming [Core Courses]
  • Operating System [Core Courses]
  • Theory of Computation [Core Courses]
  • Applied Mathematics-IV [Basic Sciences Courses]
  • Country Report - I [SAP Courses (Optional)]
  • Country Report [SAP Courses (Optional)]
  • Discrete Mathematical Structures [SAP Courses (Optional)]
  • New Leadership in Cross cultural context [SAP Courses (Optional)]
  • Operating System [SAP Courses (Optional)]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

3rd Year

Semester 5

  • In-House Practical Training [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Cloud Computing Practitioner [Specialisation Elective Courses]
  • Fundamentals of Mobile Computing [Specialisation Elective Courses]
  • Microprocessors and Interfacing [Specialisation Elective Courses]
  • Open Source Application Development Technologies [Specialisation Elective Courses]
  • Principal of Programming Language [Specialisation Elective Courses]
  • Real Time Operating System [Specialisation Elective Courses]
  • Machine Learning with Python [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
  • The Joy of Computing using Python [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
  • Aptitude and Reasoning Ability [Employability & Skill Enhancement Courses]
  • Analysis and Design of Algorithms [Core Courses]
  • Database Management Systems [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

  • Cloud Computing Architect [Specialisation Electives for Hons. (Cloud Computing ) ]
  • Concepts of Virtual and Augmented reality [Specialisation Electives for Hons. (Augmented and Virtual Reality ) ]
  • Deep Learning and Neural Network [Specialisation Electives for Hons. (Artificial Intelligence and Machine Learning ) ]
  • Introduction to AI and ML [Specialisation Electives for Hons. ( Data Science & Analytics ) ]
  • Artificial Intelligence [Country Elective Courses 2]
  • Compiler Construction [Country Elective Courses 2]
  • Fundamentals of Machine Learning [Country Elective Courses 2]
  • Advanced Java Programming [Country Elective Courses 1]
  • Business Technology [Country Elective Courses 1]
  • Software Engineering [Country Elective Courses 1]
  • Data Mining and Business Intelligence [SAP Courses (Optional)]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

4th Year

Semester 7

  • Advanced Network Solution [Specialisation Elective Courses]
  • Applied Cryptography [Specialisation Elective Courses]
  • Cloud Security [Specialisation Elective Courses]
  • Cyber Security [Specialisation Elective Courses]
  • Data Mining and Business Intelligence [Specialisation Elective Courses]
  • Introduction to Natural Language Processing [Specialisation Elective Courses]
  • Introduction to Statistical Tools in Research [Specialisation Elective Courses]
  • Object Oriented System Design [Specialisation Elective Courses]
  • Pattern Recognition [Specialisation Elective Courses]
  • Software Project Management [Specialisation Elective Courses]
  • Big Data Architecture [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
  • Deep Learning and Artificial Intelligence [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
  • Product Management & Research [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]
  • Professional Ethics and Social Responsibility [Professional Ethics]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 8

  • Major Project [Supervised Independent Learning/ Non-Teaching Credit Courses]
  • Analysing, Visualizing and Applying data science with python [Specialisation Electives for Hons. (Data Science & Analytics ) ]
  • Computational Data Analytics [Specialisation Electives for Hons. (Data Science & Analytics ) ]
  • Web Data Mining [Specialisation Electives for Hons. (Data Science & Analytics ) ]
  • Cloud Security & Administration [Specialisation Electives for Hons. (Cloud Computing ) ]
  • Data Center Virtualization [Specialisation Electives for Hons. (Cloud Computing ) ]
  • Machine Learning Foundation with cloud [Specialisation Electives for Hons. (Cloud Computing ) ]
  • Advances in Artificial Intelligence [Specialisation Electives for Hons. (Artificial Intelligence and Machine Learning ) ]
  • Applied Artificial Intelligence [Specialisation Electives for Hons. (Artificial Intelligence and Machine Learning ) ]
  • Soft Computing and Applications [Specialisation Electives for Hons. (Artificial Intelligence and Machine Learning ) ]
  • Computer Vision and Image Processing - Fundamentals and Applications [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
  • Natural Language Processing - NPTEL [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses