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B.Tech (Information Technology)

Course Overview

  • Program Code
  • 10053
  • Eligibility
  • For Non Sponsored category: Class (X & XII) agg. 60% with (Physics + Mathematics + Third subject*) min 60%

    *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)
  • 1.75
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
  • 2.625


1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 1.75
1st Year Sponsored Semester Fee (Rs. in Lacs) : 2.625
  • The students shall have the ability to apply knowledge of science, engineering and technology for research and development of novel products and solutions as an individual/ member of a team/ leader in diverse teams and as an entrepreneur.
  • 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.
  • 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 4.0 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.
  • 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.
  • a. The student will apply knowledge of mathematics, sciences and engineering to solve problems using concepts of Computer Science & Information Technology. b. An ability to use and apply current technical concepts and practices in the core information technologies of human interaction, information management, programming, networking and web systems and technology. c. An understanding of best practices and standards and their application.
  • The student will identify, formulate research literature and analyse Computer Science & Information Technology problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • The student will create solutions for computing problems and design and administer 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 practice 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, global, economic, societal and environmental contexts to demonstrate the knowledge and the 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 effectively in multidisciplinary environments.
  • The student will recognise the need to engage in independent and life-long learning in the broadest context of technological change and contemporary issues.
  • Graduates will have ability to apply the knowledge of mathematics, sciences and engineering to solve problems using concepts of Computer Science & Information Technology.
  • Graduates will have the ability to choose self–directed and active learning through strong intellectual engagement in independent work relevant to Computer Science & Information Technology for maximizing their potential by utilizing abilities and academic excellence and furthermore, think independently, analytically and creatively through self-directed learning.
  • 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.
  • 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
  • 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.
  • 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.
  • Graduates will have the ability to demonstrate analytical and decision-making skills to identify, formulate, and analyse complex engineering problems reaching substantiated conclusions using concepts of mathematics, science & engineering.
  • 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 organisation 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.
  • Graduates will have the ability to demonstrate ethical practices in professional field, display integrity at workplace and be responsible global citizens, and also appreciate concerns on environment sustainability.
  • 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.
  • 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.
  • 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 Computer Science & Information Technology 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]
  • Introduction to Computers and Programming in C [Engineering Sciences Courses]
  • Workshop Practices [Engineering Sciences Courses]
  • Applied Mathematics - II [Basic Sciences Courses]
  • Engineering Physics [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]
  • Digital Logic and Computer Architecture [Engineering Sciences Courses]
  • Object Oriented Programming Using C++ [Engineering Sciences Courses]
  • Data Structures Using C [Core Courses]
  • Programming in Python [Core Courses]
  • Applied Mathematics- III [Basic Sciences Courses]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

    Semester 4

  • Introduction To Data Science [Specialisation Electives for Hons. (Data Science & Analytics ) ]
  • Cloud Computing Practitioner [Specialisation Electives for Hons. (Cloud Computing ) ]
  • Introduction to AI and Machine Learning [Specialisation Electives for Hons. (Artificial Intelligence and Machine Learning ) ]
  • Exploring the Networks [Industry Specific Courses]
  • Introduction to Cloud Computing [Industry Specific Courses]
  • Machine Learning: Theory and Applications [Industry Specific Courses]
  • Basic Simulation Lab [Engineering Sciences Courses]
  • Database Management Systems [Core Courses]
  • Java Programming [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]
  • Data Encryption and Compression [Specialisation Electives for Hons. (Networks and Information Security ) ]
  • R Programming [Specialisation Electives for Hons. (Data Science & Analytics ) ]
  • Linux for Devices [Specialisation Electives for Hons. (Cloud Computing ) ]
  • Fundamentals of Data Analytics [Specialisation Electives for Hons. (Artificial Intelligence and Machine Learning ) ]
  • Cyber and Information Security [Specialisation Elective Courses]
  • Data Communication and Computer Networks [Specialisation Elective Courses]
  • Deep Learning and Neural Network [Specialisation Elective Courses]
  • Discrete Mathematical Structures [Specialisation Elective Courses]
  • Distributed System [Specialisation Elective Courses]
  • Green Computing [Specialisation Elective Courses]
  • Intelligent Systems and design thinking [Specialisation Elective Courses]
  • IT Infrastructure Management [Specialisation Elective Courses]
  • Mobile Application Development [Specialisation Elective Courses]
  • System Programming [Specialisation Elective Courses]
  • Routing and Switching in Networks [Industry Specific Courses]
  • Aptitude and Reasoning Ability [Employability & Skill Enhancement Courses]
  • Analysis and Design of Algorithms [Core Courses]
  • Software Engineering [Core Courses]
  • Web Technologies [Core Courses]
  • Analysis and Design of Algorithms [SAP Courses (Optional)]
  • Fundamentals of Research Methods in Global Environment [SAP Courses (Optional)]
  • Cognitive Skills, Leadership and Decision Making [Behavioural Science]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

    Semester 6

  • Database Security and Access Control [Specialisation Electives for Hons. (Networks and Information Security ) ]
  • Introduction to AI and ML [Specialisation Electives for Hons. (Data Science & Analytics ) ]
  • Cloud Computing Architect [Specialisation Electives for Hons. (Cloud Computing ) ]
  • Deep Learning and Neural Network [Specialisation Electives for Hons. (Artificial Intelligence and Machine Learning ) ]
  • Computer Graphics [Specialisation Elective Courses]
  • Data Center Virtualization [Specialisation Elective Courses]
  • Data Mining and Business Intelligence [Specialisation Elective Courses]
  • Deep Neural Networks [Specialisation Elective Courses]
  • Dynamic Routing and Troubleshooting [Specialisation Elective Courses]
  • Generative Artificial Intelligence (Generative AI) [Specialisation Elective Courses]
  • Information Assurance and Security [Specialisation Elective Courses]
  • Linux for Devices [Specialisation Elective Courses]
  • Machine Learning and Computer Vision [Specialisation Elective Courses]
  • Optimization Methods [Specialisation Elective Courses]
  • Parallel Computing [Specialisation Elective Courses]
  • Programming and Employability Skills [Employability & Skill Enhancement Courses]
  • Artificial Intelligence [Core Courses]
  • Full Stack Development [Core Courses]
  • Software Project Management [Core Courses]
  • Artificial Intelligence [SAP Courses (Optional)]
  • Country Report - I [SAP Courses (Optional)]
  • Country Report [SAP Courses (Optional)]
  • 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]
  • Real-Time Cyber Threat Detection and Mitigation [Specialisation Electives for Hons. (Networks and Information Security ) ]
  • Security Assessment and Risk Analysis [Specialisation Electives for Hons. (Networks and Information Security ) ]
  • Computational Data Analytics [Specialisation Electives for Hons. (Data Science & Analytics ) ]
  • Data Center Virtualization [Specialisation Electives for Hons. (Cloud Computing ) ]
  • Advances in Artificial Intelligence [Specialisation Electives for Hons. (Artificial Intelligence and Machine Learning ) ]
  • Advanced Java Programming [Specialisation Elective Courses]
  • Agile Software Development [Specialisation Elective Courses]
  • Big Data Analytics [Specialisation Elective Courses]
  • Blockchain and Distributed Ledger Technologies [Specialisation Elective Courses]
  • Cloud Security [Specialisation Elective Courses]
  • Digital Image Processing and Computer Vision [Specialisation Elective Courses]
  • Internet of Things [Specialisation Elective Courses]
  • Introduction to Statistical Tools in Research [Specialisation Elective Courses]
  • Open Source Application Development Technologies [Specialisation Elective Courses]
  • Principles of 3D-Applications [Specialisation Elective Courses]
  • Principles of Virtual Reality [Specialisation Elective Courses]
  • Simulation and Modeling [Specialisation Elective Courses]
  • Software Testing and Quality Assurance [Specialisation Elective Courses]
  • Minor Project [Mandatory Courses]
  • Advanced Network Solution [Industry Specific 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