B.Tech. Electronics & Computer Engineering Curriculum

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    B.Tech. Electronics & Computer Engineering Curriculum

    The B.Tech. Electronics and Computer Engineering curriculum at BML Munjal University integrates core electronics, computing and modern technologies like AI, IoT and VLSI with hands-on lab work and industry-aligned projects. It emphasises theoretical foundations alongside practical skills to prepare students for careers in cutting-edge tech sectors.

    B.Tech. EComE Subjects Semester-wise

    Sem Category Sub-Category Course Title Credits L-D-P
    1 VAC School Engineering Ethics 2 2-0-0
    1 AEC School Communication and Writing Skills 3 2-0-2
    1 Foundation Sciences Calculus for Engineers 3 3-0-0
    1 Foundation Engineering Elements of Mechanical Engineering 4 2-0-4
    1 Foundation Engineering Computer Programming using C 3 2-0-2
    1 Foundation Engineering Basic Electrical and Electronics Engineering 3 2-0-2
    1 Perspective School Design Thinking – The Way to Joy of Engineering 2 1-0-2
    Semester Total 20

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    Sem Category Sub-Category Course Title Credits L-D-P
    2 Co-curricular 2
    2 VAC School Student to pick any 1 course from the corresponding basket 2
    2 AEC School Student to pick any 1 course from the corresponding basket 2
    2 Foundation Sciences Probability and Statistics 3 3-0-0
    2 Foundation Sciences Engineering Physics 3 2-0-2
    2 Foundation Sciences Student to pick any 1 course from the corresponding basket (Semiconductor Physics) 3 2-0-2
    2 Foundation Engineering Python Programming 2 1-0-2
    2 Perspective School Joy of Engineering 3 2-0-2
    2 Foundation Sciences Environmental Science and Sustainability 2 1-0-2
    Semester Total 22
    ST1 Practice School Practice School –I Audit

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    Sem Category Sub-Category Course Title Credits L-D-P
    3 VAC School Innovation and Entrepreneurship 2
    3 Foundation Sciences Linear Algebra and Differential Equations 3 3-0-0
    3 Foundation Engineering Data Structure and Algorithms 3 2-0-2
    3 Foundation Engineering Data Analytics using Python 3 2-0-2
    3 Foundation Engineering Student to pick any 1 course from the corresponding basket (IoT and Sensors) 3 2-0-2
    3 Core Classroom Web Programming 2 1-0-2
    3 Core Classroom Digital Logic Design 3 2-0-2
    3 Core Classroom Signals and System 3 2-0-2
    Semester Total 22

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    Sem Category Sub-Category Course Title Credits L-D-P
    4 Co-curricular 2
    4 SEC School Student to pick any 1 course from the corresponding basket 2
    4 AEC School Corporate Training and Career Skills 2
    4 Foundation Engineering Discrete Mathematics 2 2-0-0
    4 Core Classroom Circuit Analysis and Synthesis 3 2-1-0
    4 Core Classroom Linear Integrated Circuits 3 2-0-2
    4 Core Classroom Database Management System 3 2-0-2
    4 Core Classroom Operating Systems 3 2-0-2
    4 Core Classroom Data Communication and Computer Networks 3 2-0-2
    Semester Total 23
    ST2 Practice School Practice School -II 4

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    Sem Category Sub-Category Course Title Credits L-D-P
    5 SEC  School Student to pick any 1 course from corresponding basket 2
    5 Core Classroom Machine Learning 3 2-0-2
    5 Core Classroom Microprocessors and Microcontrollers 3 2-0-2
    5 Core Classroom Digital VLSI Design 3 2-0-2
    5 Core Classroom Computer Organisation and Architecture 3 2-0-2
    5 Core Elective Classroom Core Elective-1 3
    5 Core Project Project – I 2
    5 Co-curricular 1
    Semester Total 20

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    Sem Category Sub-Category Course Title Credits L-D-P
    6 SEC School Logical Reasoning & Quantitative Analysis 2
    6 Core Classroom Embedded System 3 2-0-2
    6 Core Classroom Digital Signal Processing 3 2-0-2
    6 Classroom Digital Communication 3 3-0-0
    6 Core Elective Classroom Core Elective-2 3
    6 Core Elective Classroom Core Elective-3 3
    6 Open Elective Classroom Open Elective – 1 3
    6 Core Project Project – 2 2
    Semester Total 22

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    Sem Category Sub-Category Course Title Credits L-D-P
    7 Core Classroom VLSI Technology 2 1-0-2
    7 Classroom Internet of Things 3 2-0-2
    7 Classroom Advance Computer Architecture 3 3-0-0
    7 Core Elective Classroom Core Elective-4 3
    7 Core Elective Classroom Core Elective-5 3
    7 Open Elective Classroom Open Elective – 2 3
    Semester Total 17

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    Sem Category Sub-Category Course Title Credits L-D-P
    8 Practice School Practice School-III 10
    Semester Total 10
    Programme Total 160

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    EComE- Course Baskets

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    Minor Specialisation

    1. Energy Harvesting and Storage
    2. Materials Science
    3. Nanotechnology
    4. Entrepreneurship
    5. Computational Mathematics

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    • B.Tech. in Electronics and Computer Engineering with VLSI Design

    A student enrolling in B.Tech. in Electronics and Computer Engineering can also have a major specialisation in Data Science and Artificial Intelligence, Internet of Things, Cyber Security, Automobile Engineering, Robotics and Automation.

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    PEO 1: Apply multi-disciplinary knowledge to analyse, interpret and create solutions to real-life problems related to modern electronic circuits & systems and computer science.

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

    PEO 3: Engage in life-long learning of electronics and computer science principles, problem-solving skills and continuous innovation and apply them in engineering practices.

    PEO 4: Accomplish leadership roles by imbuing ethics and professionalism with emphasis on transforming society and contributing to the lives of citizens.

    Graduates will be able to:

    PO 1: Apply the knowledge of mathematics, science, electronics and computer engineering to the solution of complex real-life engineering problems.

    PO 2: Identify, formulate, review research literature and analyse complex engineering problems, reaching substantiated conclusions using domain knowledge of electronics & computer engineering.

    PO 3: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health & safety, cultural, societal and environmental considerations.

    PO 4: 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.

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

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

    PO 7: Adopt computer engineering practices in congruence with societal need, understand the working practices and their 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 an individual and as a member or leader in teams and work successfully towards the development of computing solutions and for organisational success.

    PO 10: 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.

    PO 11: Demonstrate knowledge and understanding of the electronics & computer 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.

    PO 12: Recognise the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

    PSO 1: Specify, design, prototype and test modern electronic circuits and systems that perform analogue and digital processing functions.

    PSO 2: 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 3: Understand, specify and design integrated systems using the knowledge and skills in electronics and computer engineering.

    FAQs

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

    Some of the main subjects taught in B.Tech. Electronics and Computer Engineering include:

    • Digital Logic Design
    • Signals and System
    • Web Programming
    • Operating Systems
    • Database Management System
    • Circuit Analysis and Synthesis
    • Digital VLSI Design
    • Machine Learning
    • Microprocessors and Microcontrollers
    • Embedded System
    • VLSI Technology
    • Internet of Things

    And many more!

    The syllabus of B.Tech. EComE 1st year includes basic topics like:

    • Engineering Ethics
    • Basic Electrical and Electronics Engineering
    • Communication & Writing Skills
    • Calculus for Engineers
    • Computer Programming using C
    • Elements of Mechanical Engineering
    • Design Thinking – The way to Joy of Engineering

    The B.Tech. EComE required a basic understanding of discrete mathematics, calculus, statistics and algebra, along with very good reasoning and problem-solving skills.

    The B.Tech. EComE curriculum spans eight semesters, combining core electronics and computer science subjects with advanced topics like AI, IoT and embedded systems. It also includes labs, projects, internships and elective choices for practical learning.