Bachelor of Technology

Electronics Engineering | B.Tech (ETRX)

Electronics is a very broad field that naturally partners with other disciplines to open up new Engineering avenues like Automation of Industrial Processes, Robotics and Machine Vision, Embedded Systems, Biomedical Engineering, IoT and Artificial Intelligence with Automotive Electronics (e-Vehicle).

Due to rapid evolution in all the above fields, Engineers are required to possess proficiency in both hardware and software to access a full range of careers in technology for the betterment of mankind. In short, Electronics is required everywhere from toys to aircrafts.

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Key Information

Pedagogy

The curriculum offers a variety of audit courses, multi-disciplinary and core Electives. Faculty Members are trained in ICT Tools, pedagogy features, and innovative assessment methods along with sound technical base.

Students gather a variety of learning experiences, where concepts are taught to the students through simulations, models, peer learning, personalized adaptive learning, etc. transforming students into industry-ready, competent Professionals.

The curriculum includes the wide variety of the Science Technology Engineering and Mathematics courses. It covers the new cutting edge technologies like IoT and Artificial Intelligence, Automation and Robotics, Data Analytics and Machine Learning.

Milestone

 
2021

Implementation of Minors, Honours, Certificate and Diploma Programs.

2020

Setting up the Center of Excellence on Industrial Automation in Collaboration with Festo Pvt. Ltd.

2019

Formation of Somaiya Vidyavihar University in August 2019

2018

Implementation KJSCE 2018 Revision in Syllabus

2014

Implementation of KJSCE Syllabus. College became autonomous imparting academic autonomy to departments

2014

Introduction of Ph.D. (Tech) Electronics Engineering

2013

Setting up LabVIEW Lab. Provisionally Accredited by NBA for two years

2010

Introduction of Post Graduate course with an intake of 18

2009

Accredited by NBA for three years

1983

Introduction of the Electronics branch with an intake of 60

Eminent Alumni

Career Paths

  • Public Sector Companies
  • Research and Design Engineer
  • Academician
  • Data Scientist
  • Acoustic Consultant
  • Aerospace Engineer
  • Broadcast Engineer
  • CAD Technician
  • Control and Instrumentation Engineer
  • Design Engineer
  • Electrical Engineer
  • Electronics Engineer
  • IT Consultant
  • Network Engineer
  • Nuclear Engineer
  • System Analyst
  • Clinical Technologist
  • Fire risk Assessor
  • Land-based Engineer
  • Machine learning Engineer
  • IOT and Electronics Engineers

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 and Electronics Engineering
Engineering Physics Laboratory Engineering Chemistry Laboratory
Engineering Mechanics Laboratory Engineering Drawing Laboratory
Environment and Technology OR Engineering Exploration OR Biology for Engineers Elements of Electrical and Electronics Engineering Laboratory
Communication Skills Python programming
Workshop I Workshop II
Exposure Course Exposure Course
Semester III Semester IV
Mathematics for Electronics Engineering-I Mathematics for Electronics Engineering-II
Electrical Networks Analog Electronics Circuits
Basic of Electronic Circuits Control System Engineering
Digital Electronics Analog and Digital Communication
Signals and Systems Microcontroller and Applications
Data Structure using C OR Data science using Python Designing with Programmable Logic Laboratory Course
Basic of Electronics Circuits Laboratory Analog Electronics Circuits Laboratory
Digital Electronics Laboratory Control System Engineering Laboratory
Signals and Systems Laboratory Analog and Digital Communication Laboratory
  Microcontroller and Applications Laboratory
Semester V Semester VI
Electromagnetic Engineering Basics of VLSI
Digital Signal Processing Analog Integrated Circuits and Applications
Power Electronics Introduction to Automation and Mechatronics
Department Elective – I Department Elective – II
Open Elective Technical – I/ SWAYAM-NPTEL/Coursera Course Open Elective Technical – II
Virtual Instrumentation and Industrial Automation Lab Course Mini Project
MNCC  
Semester VII Semester VIII
Embedded System Design Department Elective – V
Department Elective - III Introduction to Cryptography and Network Security
Cloud Computing Architecture Department Elective – VI
Industrial Product Design  
Machine Learning  
Audio Video Engineering  
Multirate Signal Processing and Applications  
Department Elective - IV Department Elective – V Laboratory
Open Elective Technical – III/ Online SWAYAM/Coursera Course Department Elective – VI Laboratory
  Project – II
   
   
Project – I  

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

  • Dynamic and 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

  • Interactive and active classroom sessions

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

  • 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

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems

Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences

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

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

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.

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

Recognize/ study/ analyze/ provide solutions to real-life problems of multidisciplinary nature from diverse fields

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

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.

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.

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:

Design, develop and implement Electronic Systems to solve problems of varying complexities

Acquire & demonstrate, competencies related to Automation and Industry Standards