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Electronics & Computer Engineering is an integrated program that focuses on electronics hardware circuits, and programming and IT aspects. Rapid evolution and developments in the areas of Artificial Intelligence, Automation of industrial processes, Machine Vision, Robotics, Embedded Systems, require an engineer to be acquainted with both the hardware and the associated software.
This program aims at developing and enhancing the necessary skills to increase employability. A perfect blend of knowledge in domains of electronics and coding will provide varied career options to choose from.
show more... show less...From Second Year you can choose either of Minor / Honours programmes as additional 20 credits.
Honours
Data Science and Analytics / Software Project Management / IoT & Automation / AI, Computer Vision and Robotics
Minor
Data Science / Augmented & Virtual Reality / Electric Vehicle / Information Processing & Intelligent Systems / Cyber Security / Robotics & AI / Mechatronics / Industrial Engineering & Management / Entrepreneurship / Power Electronics & Industrial Drives / Sound Engineering / Maker Technology / Robotics & Automation / Drone TechnologyThe Teaching-Learning-Evaluation (TLE) process is facilitated by faculty members with use of active learning strategies and ICT tools like DIY (Do-it-Yourself), Think Pair Share, use of learning management system (LMS – Moodle) etc.
Innovative assessment methods with a focus on handson learning are used by faculty members . Students gather a variety of learning experiences through pedagogy features, programming, simulations, models, peer learning, personalized adaptive learning, projects, internships and transform into industry-ready, competent Professionals.
Semester I | Semester II |
---|---|
Course Group C | Course Group C |
Theory courses | Theory courses |
Applied Mathematics - I | Applied Mathematics - II |
Engineering Chemistry | Engineering Physics |
Engineering Drawing | Engineering Mechanics |
Elements of Electrical and Electronics Engineering | |
Lab/Tutorial courses | Lab/Tutorial courses |
Python Programming | Programming in C |
Engineering Chemistry Laboratory | Engineering Physics Laboratory |
Elements of Electrical & Electronics Engineering Laboratory | Engineering Mechanics Laboratory |
Project-Based Learning | Project-Based Learning |
Basic Workshop Practice - I | Presentation & Communication Skills |
Engineering Drawing Laboratory | Basic Workshop Practice - II |
Exposure Course* | Exposure Course* |
Course Group P | Course Group P |
Theory courses | Theory courses |
Applied Mathematics - I | Applied Mathematics - II |
Engineering Physics | Engineering Chemistry |
Engineering Mechanics | Engineering Drawing |
Elements of Electrical & Electronics Engineering | |
Lab/Tutorial courses | Lab/Tutorial courses |
Python Programming | Programming in C |
Engineering Physics Laboratory | Engineering Chemistry Laboratory |
Engineering Mechanics Laboratory | Engineering Drawing Laboratory |
Project-Based Learning | Elements of Electrical & Electronics Engineering Laboratory |
Presentation & Communication Skills | Project-Based Learning |
Basic Workshop Practice - I | Basic Workshop Practice - II |
Exposure Course* | Exposure Course* |
Note- Students will be assigned either course group C or P in semester I irrespective of their branch of study. Accordingly, they will have the other course group (P or C) in semester II
*mandatory non-credit course to be selected from a variety of courses from sports (indoor and outdoor), music, dance, creative art, culture, religion, yoga, broadcasting, film-making etc.
Semester III | Semester IV |
---|---|
Vectors and Transforms | Probability, Statistics and Optimization Techniques |
Analog Electronic Circuits | Analog and Digital Communication |
Digital Electronics | Analysis of Algorithms |
Data Structures | Database Management Systems |
Networks, Signals & Systems | Discrete Mathematics |
Object Oriented Programming Laboratory | Microprocessors Lab Course |
Analog Electronic Circuits Laboratory | Analog and Digital Communication Laboratory |
Digital Electronics Laboratory | Analysis of Algorithms Laboratory |
Data Structures Laboratory | Database Management Systems Laboratory |
Networks, Signals & Systems Laboratory |
Semester V | Semester VI |
---|---|
Theory of Automata | Digital Signal & Image Processing |
Automation & Control System | Computer Communication Networks |
Computer Organization & Architecture | Operating System & Compilers |
Department Elective I | Department Elective II |
Hardware Description Language and FPGA Electromagnetics Engineering Electronics Measurement and Instrumentation System Information Theory and Coding Techniques Power Electronics Software Engineering | Analog Integrated Circuits and Applications Basics of VLSI Computer Graphics Data Science using Python Mobile App Development Mobile Communication & Ad Hoc Networks |
Open Elective Technical – I | Open Elective Technical – II |
Open Elective Humanities/ Management | Open Elective Humanities/ Management |
Web programming Laboratory | Mini Project |
Automation & Control System Laboratory | Digital Signal & Image Processing Laboratory |
Computer Organization & Architecture Laboratory | Computer communication Networks Laboratory |
Department Elective – I Laboratory | Operating System and Compilers Laboratory |
Department Elective-II Laboratory | |
MNCC |
Semester VII | Semester VIII |
---|---|
Artificial Intelligence & Machine Learning | |
Department Elective – III | Department Elective – V /Online SWAYAM/ Coursera Course * |
Embedded System Design Industrial Product Design Integrated Circuit Technology Multirate and Wavelet Transform Power Electronics and Drives Robotics and Computer Vision | Artificial Intelligence Based Wireless Network Design Deep Learning and Automation Digital Control Systems Speech Processing using Machine Learning Wireless Sensor Networks and IoT |
Department Elective – IV | Department Elective – VI /Online SWAYAM/ Coursera Course* |
Advanced Databases and Data Warehousing Cloud Architecture and Computing C# Programming and. Net Technology Data Analysis and visualization Information and Cyber Security Software Testing and Quality Assurance | Big data Analytics Business Analytics IoT Security Introduction to Cryptography and Network Security Natural Language Processing Real Time Operating System |
Department Elective – V Laboratory | |
Department Elective – VI Laboratory | |
Open Elective Technical – III | Project – II / Semester long internship |
Project – I* | |
Artificial Intelligence and Machine Learning Laboratory | |
Department Elective – III Laboratory | |
Department Elective – IV Laboratory |
A dedicated program to shape professionals with teaching focused on problem or project based learning
The program is enabled by expert faculties and guest lecturers from corporate to provide real-life examples to applicants
Placement opportunities for eligible and interested students
Simulations, animation, case study analyses, quizzes and lively discussion in the classroom, which enables students to learn the concepts most effectively
Wide choice for branch specific electives and more number of open or interdisciplinary electives.
Full time internship for six months in last year Sem - VIII along with opportunity for vacational internships
Focused curriculum with a rigor towards hands-on experience and industry exposure. The syllabus is designed in consultation with Industrial experts and academia, to address the current industrial and social needs. Facility Centre with Festo for Industrial Automation and with National Instruments LabView are the key elements
This program enables individuals to have dynamic industrial opportunities in their future endeavors due to exposure in different domains like Automation, Robotics,Machine Learning, Embedded systems, Biomedical Engineering, IoT and Artificial Intelligence with Automotive Electronics (e-Vehicle).
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/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for 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, cultural, environmental, health, safety and legal issues relevant to the professional engineering practice; understanding the need of sustainable development.
Multidisciplinary competence: Recognize/ study/analyze/provide solutions to real- life problems of multidisciplinary nature from diverse fields
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and teamwork: 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, give and receive clear instructions.
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 environmentsProject 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.
Lifelong 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
After successful completion of the program Electronics & Computer Engineering Graduate will be able to:
We are happy to answer all your admission related enquiries. Fill out the form and we will be in touch with you shortly.
We acknowledge the receipt of your enquiry. Our team will get back to you shortly.