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program overview

Prepare for a career in B. Tech.

Ever since its inception on 7th October 1996, the Department of Computer Science and Engineering at Amrita Vishwa Vidyapeetham has been progressing towards excellence in the field of teaching and research. With a team of dedicated, experienced and qualified faculty members, the department has witnessed tremendous growth in academics and research. Major research areas include Image Processing, Multimedia Mining, Evolutionary Computing, Network Security and Wireless Networks. The department is progressing towards setting up of research laboratories and R & D centers.

The department offers B.Tech in Computer Science and Engineering. Regular interaction with software companies has helped the department in maintaining its syllabus abreast with technology and industrial standards. The rigorous learning environment has helped make students job-ready.

 

Overview

Prepare for a career in B. Tech.

Ever since its inception on 7th October 1996, the Department of Computer Science and Engineering at Amrita Vishwa Vidyapeetham has been progressing towards excellence in the field of teaching and research. With a team of dedicated, experienced and qualified faculty members, the department has witnessed tremendous growth in academics and research. Major research areas include Image Processing, Multimedia Mining, Evolutionary Computing, Network Security and Wireless Networks. The department is progressing towards setting up of research laboratories and R & D centers.

The department offers B.Tech in Computer Science and Engineering. Regular interaction with software companies has helped the department in maintaining its syllabus abreast with technology and industrial standards. The rigorous learning environment has helped make students job-ready.

 

Curriculum

Semester I
Cat Code Title L T P Credit
HUM 19ENG111 Technical Communication 2 0 3 3
SCI 19MAT101 Single Variable Calculus 1 0 0 1
SCI 19MAT111 Multivariable Calculus 2 0 0 2
SCI 19MAT102 Matrix Algebra 2 0 0 2
ENGG 19CSE100 Problem Solving and Algorithmic Thinking 2 1 3 4
ENGG 19MEE100 Engineering Graphics – CAD 2 0 3 3
ENGG 19CSE101 Computer Systems Essentials 3 0 3 4
ENGG 19CSE180 Computer Hardware Essentials 0 0 3 1
HUM 19CUL101 Cultural Education – I 2 0 0 2
TOTAL 32 22
Semester II
Cat Code Title L T P Credit
SCI 19MAT115 Discrete Mathematics 3 1 0 4
SCI 19MAT112 Linear Algebra 2 1 0 3
SCI 19PHY101 Engineering Physics – A 2 1 0 3
ENGG 19CSE102 Computer Programming 3 0 3 4
ENGG 19EEE111 Electrical and Electronics Engineering 3 0 0 3
ENGG 19EEE182 Electrical and Electronics Engineering Practice 0 0 3 1
ENGG 19CSE103 User Interface Design 1 0 3 2
ENGG 19CSE111 Fundamentals of Data Structures 2 0 0 2
ENGG 19MEE181 Manufacturing Practice 0 0 3 1
HUM 19CUL111 Cultural Education – II 2 0 0 2
TOTAL 33 25

 

Semester III
Cat. Code Title L T P Credit
SCI 19MAT201 Numerical Methods 1 0 0 1
SCI 19MAT202 Optimization Techniques 2 0 0 2
ENGG 19ECE204 Digital Electronics and Systems 3 1 0 4
ENGG 19CSE201 Advanced Programming 2 0 3 3
ENGG 19CSE205 Program Reasoning 2 0 3 3
ENGG 19CSE202 Database Management System 3 0 3 4
ENGG 19CSE204 Object Oriented Paradigm 2 0 3 3
ENGG 19ECE282 Digital Electronics and Systems Lab 0 0 3 1
HUM 19AVP201 Amrita Value Programme 1 0 0 1
Total 32 22
Semester IV
Cat. Code Title L T P Credit
SCI 19MAT205 Probability and Random Processes 3 1 0 4
ENGG 19CSE212 Data Structures and Algorithms 3 0 3 4
ENGG 19CSE214 Theory of Computation 3 0 0 3
ENGG 19CSE211 Computer Organization and Architecture 3 0 3 4
ENGG 19CSE213 Operating Systems 3 0 3 4
HUM 19AVP211 Amrita Value Programme 1 0 0 1
HUM Free Elective I** 2 0 0 2
HUM 19SSK211 Soft Skills I 1 0 3 2
HUM 19MNG300 Disaster Management P/F
Total 32 24
Semester V
Cat. Code Title L T P Credit
ENGG 19CSE305 Machine Learning 3 0 3 4
ENGG 19CSE302 Design and Analysis of Algorithms 3 0 3 4
ENGG 19CSE301 Computer Networks 3 0 3 4
ENGG 19CSE304 Foundations of Data Science 2 0 3 3
ENGG 19CSE303 Embedded Systems 3 0 3 4
ENGG Professional Elective I* 3 0 0 3
HUM 19SSK301 Soft Skills II 1 0 3 2
ENGG 19LIV390 Live-in –Labs*** [3]
HUM 19ENV300 Environmental Science P/F
Total 36 24+[3]
Semester VI
Cat. Code Title L T P Credit
ENGG 19CSE314 Software Engineering 2 0 3 3
ENGG 19CSE313 Principles of Programming Languages 2 0 3 3
ENGG 19CSE312 Distributed Systems 3 0 3 4
ENGG 19CSE311 Computer Security 3 0 0 3
ENGG Professional Elective II* 3 0 0 3
ENGG Professional Elective III* 3 0 0 3
HUM 19SSK311 Soft Skills III 1 0 3 2
ENGG 19LIV490 Live-in –Labs*** [3]
Total 29 21+[3]
Semester VII
Cat. Code Title L T P Credit
ENGG 19CSE401 Compiler Design 2 0 3 3
ENGG Professional Elective IV* 3 0 0 3
ENGG Professional Elective V* 3 0 0 3
ENGG Professional Elective VI* 3 0 0 3
ENGG Free Elective II** 3 0 0 3
PRJ 19CSE495/ 19CSE491 Project – Phase – 1 / Seminar 0 0 6 2
HUM 19LAW300 Indian Constitution P/F
Total 23 17
Semester VIII
Cat. Code Title L T P Credit
PRJ 19CSE499 Project – Phase – 2 0 0 30 10
Total 30 10
Total Credit 165
Professional Electives
Electives in Cyber Security
Cat. Code Title L T P Credit
ENGG 19CSE331 Cryptography 3 0 0 3
ENGG 19CSE332 Information Security 3 0 0 3
ENGG 19CSE333 Secure Coding 3 0 0 3
ENGG 19CSE334 Cyber Forensics and Malware 3 0 0 3
ENGG 19CSE335 Ethical Hacking 3 0 0 3
ENGG 19CSE336 Digital Currency Programming 3 0 0 3
ENGG 19CSE337 Social Networking and Security 3 0 0 3
ENGG 19CSE338 Mobile and Wireless Security 3 0 0 3
Electives in Computer Networks
Cat. Code Title L T P Credit
ENGG 19CSE339 Wireless Sensor Networks 3 0 0 3
ENGG 19CSE340 Advanced Computer Networks 3 0 0 3
ENGG 19CSE341 Mobile Adhoc Networks 3 0 0 3
ENGG 19CSE342 Wireless and Mobile Communications 3 0 0 3

 

Electives in Data Science
Cat. Code Title L T P Credit
ENGG 19CSE351 Computational Statistics and Inference Theory 3 0 0 3
ENGG 19CSE352 Business Analytics 3 0 0 3
ENGG 19CSE353 Mining of Massive Datasets 3 0 0 3
ENGG 19CSE354 Web Mining 3 0 0 3
ENGG 19CSE355 Time Series Analysis and Forecasting 2 0 3 3
ENGG 19CSE356 Social Network Analytics 3 0 0 3
ENGG 19CSE357 Big Data Analytics 2 0 3 3

 

Electives in Computer Vision
Cat. Code Title L T P Credit
ENGG 19CSE431 Digital Image Processing 2 0 3 3
ENGG 19CSE432 Pattern Recognition 3 0 0 3
ENGG 19CSE433 Computer Graphics and Visualization 2 0 3 3
ENGG 19CSE434 Image and Video Analysis 2 0 3 3
ENGG 19CSE435 Computer Vision 3 0 0 3
ENGG 19CSE436 Machine Vision 3 0 0 3
ENGG 19CSE437 Deep Learning for Computer Vision 2 0 3 3
ENGG 19CSE438 Medical Image Processing 2 0 3 3
ENGG 19CSE439 Augmented and Virtual Reality 3 0 0 3
ENGG 19CSE440 Biometrics 3 0 0 3

 

Electives in Cyber Physical Systems
Cat. Code Title L T P Credit
ENGG 19CSE441 Introduction to Cyber-Physical Systems 3 0 0 3
ENGG 19CSE442 Pervasive and Ubiquitous Systems 3 0 0 3
ENGG 19CSE443 Spatiotemporal data management 3 0 0 3
ENGG 19CSE444 Real-Time Systems 3 0 0 3
ENGG 19CSE445 Cloud Computing 2 0 3 3
ENGG 19CSE446 Internet of Things 2 0 3 3

 

Electives in Artificial Intelligence
Cat. Code Title L T P Credit
ENGG 19CSE451 Principles of Artificial Intelligence 2 0 3 3
ENGG 19CSE452 Semantic Web 2 0 3 3
ENGG 19CSE453 Natural Language Processing 2 0 3 3
ENGG 19CSE454 Information Retrieval 2 0 3 3
ENGG 19CSE455 Artificial Intelligence and Robotics 2 0 3 3
ENGG 19CSE456 Neural Networks and Deep Learning 2 0 3 3
ENGG 19CSE457 Bayesian Machine Learning 2 0 3 3
ENGG 19CSE458 Computational Intelligence 2 0 3 3

 

Electives General
Cat. Code Title L T P Credit
ENGG 19CSE459 Advanced Algorithms and Analysis 3 0 0 3
ENGG 19CSE460 User Experience Design 2 0 3 3
ENGG 19CSE461 Net-Centric Programming 2 0 3 3
ENGG 19CSE462 Introduction to Game Theory 3 0 0 3

 

Professional Electives for Other Branches
Cat. Code Title L T P Credit
ENGG 19CSE471 Principles of Operating Systems 3 0 0 3
ENGG 19CSE463 Mobile Application Development 2 0 3 3
ENGG 19CSE464 Fundamentals of Software Engineering 2 0 3 3
ENGG 19CSE465 Introduction to Big Data Analytics 2 0 3 3
ENGG 19CSE466 Foundation of Information Technology 2 0 3 3
ENGG 19CSE467 Principles of Database Management Systems 2 0 3 3
ENGG 19CSE477 Principles of Computer Networks 3 0 0 3
ENGG 19CSE204 Object Oriented Paradigm 2 0 3 3
ENGG 19CSE201 Advanced Programming 2 0 3 3
ENGG 19CSE282 Python Programming 0 0 3 1
Science Electives
Chemistry
Cat. Code Title L T P Credit
SCI 19CHY243 Computational Chemistry and Molecular Modelling 3 0 0 3
SCI 19CHY236 Electrochemical Energy Systems and Processes 3 0 0 3
SCI 19CHY240 Fuels and Combustion 3 0 0 3
SCI 19CHY232 Green Chemistry and Technology 3 0 0 3
SCI 19CHY239 Instrumental Methods of Analysis 3 0 0 3
SCI 19CHY241 Batteries and Fuel Cells 3 0 0 3
SCI 19CHY242 Corrosion Science 3 0 0 3
Physics
SCI 19PHY340 Advanced Classical Dynamics 3 0 0 3
SCI 19PHY342 Electrical Engineering Materials 3 0 0 3
SCI 19PHY331 Physics of Lasers and Applications 3 0 0 3
SCI 19PHY341 Concepts of Nanophysics and Nanotechnology 3 0 0 3
SCI 19PHY343 Physics of Semiconductor Devices 3 0 0 3
SCI 19PHY339 Astrophysics 3 0 0 3
Mathematics
SCI 19MAT341 Statistical Inference 3 0 0 3
SCI 19MAT342 Introduction to Game Theory 3 0 0 3
SCI 19MAT343 Numerical Methods and Optimization 3 0 0 3
Free Electives
Management Stream
Cat. Code Title L T P Credit
HUM 19MNG331 Financial Management 3 0 0 3
HUM 19MNG332 Supply Chain Management 3 0 0 3
HUM 19MNG333 Marketing Management 3 0 0 3
HUM 19MNG334 Project Management 3 0 0 3
HUM 19MNG335 Enterprise Management 3 0 0 3
HUM 19MNG338 Operations Research 3 0 0 3
HUM 19MEE401 Industrial Engineering 3 0 0 3
HUM 19MEE346 Managerial Statistics 3 0 0 3
HUM 19MEE347 Total Quality Management 3 0 0 3
HUM 19MEE342 Lean Manufacturing 3 0 0 3
HUM 19CSE358 Software Project Management 3 0 0 3
HUM 19CSE359 Financial Engineering 3 0 0 3
HUM 19CSE360 Engineering Economic Analysis 3 0 0 3
HUM 19MNG331 Financial Management 3 0 0 3
HUM 19CSE362 Information Systems 3 0 0 3
Eligibility

Admission

ELIGIBILITY

Candidates, whose date of birth falls on or after 1st July, 1998  A pass in 10+2 (Class XII) or its equivalent examination with minimum 60% aggregate of marks in Mathematics, Physics and Chemistry with not less than 55% in each of these three subjects.

Program Overview

Program Educational Objectives (PEO):
  • Graduate will strive on a global platform to pursue their professional career in Computer Science and Engineering.
  • Graduate will contribute to product development as entrepreneurs in inter disciplinary fields of engineering and technology.
  • Graduate will demonstrate high regard for professionalism, integrity and respect values in diverse culture, and have a concern for society and environment.
Program Specific Outcomes (PSO):
  • Ability to design and engineer, innovative, optimal and elegant computing solutions to interdisciplinary problems using standard practices, tools and technologies.
  • Ability to learn emerging computing paradigms for research and innovation
Program Outcomes (PO):
  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • Design and development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • 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.
  • The engineer and society: Apply reasoning informed by the contextual knowledge to Assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of and need for sustainable development.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • 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.
  • Project management and finance: 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, to manage projects and in multidisciplinary environments.
  • Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Curriculum based on recommendations of IEEE-ACM Joint task force on Computing Curricula

  • Right combination of courses from Humanities, Basic Sciences, Engineering, and  Computer Science
  • Mathematics courses to supplement the Computer Science requirements
  • Unique course in India on “Computational Thinking for Problem Solving” to aid in better logical thinking and  strengthen programming skills
  • Innovative use of tools and programming languages like Scratch, Raptor, Python and Visual Java
  • Industry case studies in courses like Software Engineering, Database Management Systems and Data Mining
  • Project based courses to integrate  the theoretical and practical aspects of computer science
  • Courses reflecting industry trends like Machine Learning and Data Mining, Cloud Computing, Service Oriented Architecture, OS for Smart Devices, Pervasive Computing, Big Data Analytics, etc
  • Open Labs for tech geeks and coders to take up competitive coding
  • Curriculum prepares the students towards internship at industries, Research labs and Exchange Programmes at International Universities
  • Support for publications, patenting and entrepreneurship

Fees Structure

To be Updated

Program Fees for the year 2019-2021
Campus Tuition Fees
per sem
Tuition Fees
Total
Hostel & Mess
Per Year
  Updating Soon * #

Facilities at a glance

  • Central Library
  • Hostel Accomodation
  • Sports Facilites
  • Banking Facilities
  • Transport
  • Medical Services
  • Canteen
  • General Store
  • CISCO
  • ICTS
  • Reprographic Facility
Amrita First in India & Top 100 in THE Impact Rankings 2021

Students can learn in an environment where they are comfortable and looked after. Here are the facilities that our campus provides…

Why Amrita

The top reasons to choose Amrita for your career

601-800th

World University Rankings 2020

141

BRICS Rankings 2020

801–1000th

World University Rankings 2020

168th

BRICS University Rankings 2020

5th

India University Rankings 2020

12th

Overall Rankings 2020
ranking
5th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade
Admissions Apply Now