Bachelor of Technology in Electronics and Computer Engineering | B.Tech. (EXCP)

Electronics and 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.

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Key Information

Pedagogy

The 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.

Career Paths

  • Public Sector Companies
  • Research and Design Engineer
  • Researcher & Academician
  • Data Scientist
  • Administrative Services (IAS, IES)
  • Automation Engineer
  • Control and Instrumentation Engineer
  • Design Engineer
  • Electronics Engineer
  • IT Consultant
  • Network Engineer
  • System Analyst
  • Machine learning Engineer
  • IOT and Electronics Engineer
  • Computer Programmer
  • IT Consultant
  • Software Designer
  • Scientific Researcher
  • Database Administrator
  • Software Testing Engineer
  • Games Developer
  • Mobile Application Developer
  • Web Application Developer
  • UI/UX Designer
  • Network Administrator
  • Business Analyst
  • System Administrator
  • Cyber Security Analyst
  • Forensic Computer Analyst
  • IT Manager
  • SEO Expert

Curriculum

 
 
Semester I Semester II
Applied Mathematics I Applied Mathematics II
Engineering Physics Engineering Chemistry
Engineering Mechanics Engineering Drawing
Programming in C Elements of Electrical & Electronics Engineering
Engineering Physics Laboratory Engineering Chemistry Laboratory
Engineering Mechanics Laboratory Engineering Drawing Laboratory
Environment and Technology OR Engineering Exploration OR Biology for Engineers OR Solar Photovoltaics OR Project based DIY OR Android App Development OR BioMimic ROBO Elements of Electrical & Electronics Engineering Laboratory
Communication Skills Python programming
Workshop I Workshop II
Exposure Course Exposure Course
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  

Differentiators

  • Project-based learning

    A dedicated program to shape professionals with teaching focused on problem or project based learning

  • Knowledge beyond technical skills

    The program is enabled by expert faculties and guest lecturers from corporate to provide real-life examples to applicants

  • Rewarding career path

    Placement opportunities for eligible and interested students

  • Interactive & active classroom sessions

    Simulations, animation, case study analyses, quizzes and lively discussion in the classroom, which enables students to learn the concepts most effectively

  • Open & Technical Electives

    Wide choice for branch specific electives and more number of open or interdisciplinary electives.

  • Internships

    Full time internship for six months in last year Sem - VIII along with opportunity for vacational internships

  • Dynamic & industry-oriented curriculum

    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

  • Various Domain Opportunities

    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).

Programme Outcomes

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

Programme Specific Outcomes

After successful completion of the program Electronics and Computer Engineering Graduate will be able to:

Design, construct and implement hardware and software based modern Electronic systems with varying complexities

Demonstrate proficiency in use of software and hardware required in real-life applications.