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    B.Tech Computer Science & Engineering Syllabus

    Home Programmes B.Tech Computer Science and Engineering B.Tech Computer Science and Engineering Syllabus

    B.Tech Computer Science and Engineering

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    B.Tech Computer Science and Engineering

    B.Tech Computer Science and Engineering (CSE) syllabus

    B Tech CSE syllabus is focused on the study of the hardware and networking domains of computer technology. It seeks to impart knowledge on developing sustainable working models that operate on the strategic integration of computing devices with technology to meet the operational needs of the modern work environment.

    The B.Tech CSE course is designed to equip students with the knowledge of

    1. Computer Architecture
    2. Software Engineering
    3. Processor Designs
    4. Computer Networks

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    Along with the skills of programming and machine learning to expand their technological horizons.

    The syllabus also imparts knowledge about specialized areas of study such as

    1. Artificial Intelligence
    2. The Internet Of Things
    3. Algorithm Analysis
    4. Digital Logic

    To prepare them for coming-of-age technological needs as well as provides an opportunity for practical learning through Practice School.

    The Practice School program bridges the gap between classroom learning and the professional world by way of structured mentoring supervised by renowned industry professionals. It helps the students to explore career opportunities and make a rational decision about their career advancement based on real-time working experience from top electronics and communication technology companies around the world.

    The Computer Science and Engineering (CSE) course encourages the all-around development of students by teaching them about designs, implementation, and management of computer systems. Particular emphasis is laid on the study of humanities along with the development of communication and presentation skills so that the students not only possess sound technical knowledge and skills but also develop into socially responsible citizens.

    Program Educational Objectives (PEO)

    PEO 1: Identify real-life problems and develop creative and innovative hardware/software-based solutions.

    PEO 2: Achieve professional development through self-learning to adapt to the technological changes in the ever-changing field of computing.

    PEO 3: Engage in life-long learning of computer engineering technologies, critical thinking and continuous ingenuity and apply them in real-life applications.

    PEO 4: Accomplish leadership roles by imbibing ethics and professionalism with emphasis on sustainable development of the society.

    Program Outcomes (PO)

    Graduates will be able to:

    PO 1: Apply the foundational concepts of mathematics, science, and computer engineering to find novel solutions for complex real-life engineering problems.

    PO 2: Identify, formulate, review literature, and analyze complex computer engineering problems reaching substantiated conclusions and derive a coherent logic that can be implemented by computers.

    PO 3: Design analytical and computational models for solving complex engineering problems giving due consideration to issues related to public health and safety, cultural and societal constraints, and environmental concerns.

    PO 4: Use research-based knowledge, methods, tools, and techniques for data collection, designing digital computing systems, analyzing and interpreting the results to provide substantiated conclusions.

    PO 5: Use appropriate tools to model complex computer engineering problems through identification of the limitations and creating solutions to predict the real-world phenomena.

    PO 6: Use appropriate contextual knowledge of computer engineering to review and assess societal, health, legal, cultural, safety and contemporary issues and rationalize the ensuing responsibilities towards the society.

    PO 7: Adopt computer engineering practices in congruence with societal need, understand the working practices and its impact on natural resources for sustainable development.

    PO 8: Use ethical principles to pursue excellence in developing computer engineering systems and behave appropriately to develop a reliable and trustworthy relationship with others.

    PO 9: Function effectively as a reliable and responsible individual, and as a member or leader in diverse computer engineering teams, and in multidisciplinary settings, thereby placing team goals ahead of individual interests.

    PO 10: Communicate effectively by capturing the desirable computer system requirements for preparation of specification documents, write clear and concise report such as laboratory files, research papers, thesis, and presentation materials.

    PO 11: Demonstrate knowledge of computer engineering and management principles for the completion of individual or group projects in multidisciplinary environments.

    PO 12: Recognize the evolving technological changes and engage as an independent and life-long learner in both computing and non-computing fields.

    Program Specific Outcomes (PSO)

    PSO 1: Identify applicable tools and techniques related to data science practice such as data collection, cleaning, analysis, modelling, evaluation and result interpretation and apply them for deriving hidden and meaningful patterns for appropriate actionable insights.

    PSO 2: Develop intelligent systems for various real-life domains like healthcare, transportation, finance etc. using Artificial Intelligence methodologies.

    PSO 3: Understand the foundational concepts and techniques to protect computing systems against constantly evolving cybersecurity threats and analyze security breaches and violations of cyber systems and networks to provide appropriate solutions.

    PSO 4: Design effective security systems to mitigate risks, threats and vulnerabilities for protecting the organizations against cyber threats.

    B.Tech Computer Science and Engineering (CSE) Syllabus

    Sem Category Sub-Category Course Title Credits
    1 Co-Curricular 1
    1 Perspective School Joy of Engineering – I 3
    1 Skill School Communication Skills 1
    1 School Engineering Ethics 1
    1 Foundation School Basic Electrical and Electronics Engineering 3
    1 School Mathematics for Engineers – I 2
    1 School Engineering Chemistry 1
    1 School Physics for Engineers 2
    1 Program Specific Fundamentals of Data Science 3
    1 Program Specific Object Oriented Programming using C++ 4
          Semester Total 21

    Sem Category Sub-Category Course Title Credits
    2 Co-Curricular 1
    2 Perspective School Joy of Engineering – II 3
    2 School Environmental Studies 2
    2 Skill School Technical Report Writing 2
    2 Foundation School Mathematics for Engineers – II 3
    2 Foundation Program Specific Fundamentals of Digital Logic 3
    2 Program Specific Data Structures and Algorithms 3
    Core Classroom Applied Data Science 2
          Semester Total 19
    ST1 Practice School Practice School –I Audit

    Sem Category Sub-Category Course Title Credits
    3 Co-Curricular 1
    3 Skill School Etiquettes and Conversational Skills 2
    3 Foundation Program Specific Software Engineering 2
    3 Program Specific Design and Analysis of Algorithms 3
    3 Program Specific Database Management System 3
    3 Core Classroom Web Programming 2
    3 Classroom Java Programing 3
    3 Classroom Operating Systems 3
    3 Core Project I 1
          Semester Total 20

    Sem Category Sub-Category Course Title Credits
    4 Co-Curricular 1
    4 Perspective School Global Energy: Politics, Markets and Policy 1
    4 School Design Thinking 2
    4 Foundation Program Specific Machine Learning 3
    4 Core Classroom Computer Organization & Architecture 3
    4 Classroom Data Communications & Computer Networks 3
    4 Classroom Mobile Application Development 2
    4 Classroom Human Computer Interaction 2
    4 Core Project II (MAD/Web Programming/HCI/ML) 3
          Semester Total 20
    ST2 Practice School Practice School –II 4

    Sem Category Sub-Category Course Title Credits
    5 Co-Curricular 1
    5 Perspective Student Specific Innovation and Entrepreneurship 2
    5 Core Classroom Digital Image Processing 4
    5 Classroom Artificial Intelligence 3
    5 Foundation School Discrete Mathematics 3
    5 Classroom Network Security 3
    5 Classroom IoT Sensors, Peripherals and Processors 2
    5 Core Elective Classroom Elective-I (Specialization Specific) 3
    5 Skill School Seminar / Case Studies 2
          Semester Total 23

    Sem Category Sub-Category Course Title Credits
    6 Practice School Practice School-III 14
          Semester Total 14

    Sem Category Sub-Category Course Title Credits
    7 Perspective Student Specific 1
    7 Core Classroom Theory of Computation 3
    Classroom IoT Networks, Architectures and Applications 3
    Classroom Cryptography 2
    7 Core Elective Classroom Elective II (Specialization Specific) 3
    7 Core Elective Project-III Elective III (Specialization Specific) 3
    7 Open Elective Classroom / Lab 3
          Semester Total 18

    Sem Category Sub-Category Course Title Credits
    8 Core Elective Classroom Elective IV (Specialization Specific) 3
    8 Classroom Elective V (Specialization Specific) 3
    8 Core Project IV 5
    8 Open Elective Classroom / Lab 3
    8 Classroom / Lab 3
    Semester Total 17
    Program Total 156

    1 Research Methodology
    2 Paper Writing and Story Telling
    3 Paper Reading and Concluding, Referencing, Latex introduction, Mendeley
    4 Microprocessor Based System Design
    5 Computer Graphics
    6 Graph Theory
    7 Compiler Design
    8 Theory of Computation
    9 Cloud Computing
    10 Fog Computing
    11 Advanced Database Management Systems
    12 Any other course on recent development

    Minor Program: Computational Linguistics
    1 Formal languages and automata theory
    2 Grammar and Parsing
    3 Text processing
    4 Speech and Audio Processing
    5 Lexical Semantics and Computational Discourse
    Minor Program: Cyber Physical Systems
    1 IT fundamentals of Cyber Physical Systems
    2 Cyber Physical Systems: Modelling and Simulation
    2 Embedded Hardware and Operating System
    3 Web Connectivity and Security in Embedded System
    4 Design and Analyze Secure Networked System
    5 Real Time Cyber Threat Detection and Mitigation
    Minor Program: Computational Mathematics
    1 Advanced Numerical methods/ Numerical Linear Algebra
    2 Computational Geometry
    3 Design and Analysis of Experiments
    4 Industrial Statistics
    5 Mathematical Finance
    6 Mathematical Modelling in Industry
    7 Number Theory and Cryptography
    8 Numerical solution of PDE’s
    9 Probability theory and Monte Carlo simulation
    10 Time Series Analysis and Dynamical Modelling

    FAQs

    BTech CSE syllabus is traditionally easier than other fields of engineering. However, due to the inclusion of complex mathematical formulae and concepts of science, it requires an individual to put in a lot of effort and dedication to excel in the field of computer science.

    The number of subjects in CSE varies from one institution to another. However, for most institutions, the CSE course contains around 35-40 subjects, excluding electives.

    Some of the main subjects taught in BTech Computer Science and Engineering include:

    • Fundamentals of Data Science
    • Object Oriented Programming using C++
    • Data Structures and Algorithms
    • Applied Data Science
    • Database Management System
    • Machine Learning
    • Design Thinking
    • Mobile Application Development
    • Artificial Intelligence
    • IoT Sensors, Peripherals and Processors

    And many more!

    The syllabus of BTech CSE 1st year includes basic topics like:

    • Engineering Ethics
    • Basic Electrical and Electronics Engineering
    • Engineering Chemistry
    • Physics for Engineers
    • Environmental Studies
    • Technical Report Writing
    • Fundamentals of Digital Logic

    The BTech CSE requires a basic understanding of discrete mathematics, calculus, statistics, and algebra, along with very good reasoning and problem-solving skills.

    Yes, Mathematics is mandatory in Computer Science and Engineering (CSE).

    The semester-wise syllabus for CSE is given above, which you can explore in a drop-down format.

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