The School offers Bachelor's programme in Electronics and Communication Engineering, Electronics and Communication Engineering with Spec. in Biomedical Engineering, B.Tech. Electronics and Communication Engineering with Spec. in IoT and Sensors, B.Tech. Electronics and Communication Engineering with Spec. in Sensors and Wearable Technology.
The B.Tech. Electronics and Communication Engineering courses are accredited by the Engineering Accreditation Commission of ABET (http://www.abet.org ).
The programme impart in-depth knowledge of communication engineering theory and practice sessions by exposing them to various fields like Digital & Wireless communications, Wireless networks, Optical communications, Microwave circuits and signal processing.
Electrical and Electronic Measurements / Computer Organization and Architecture / Digital Image Processing / Bio-medical Instrumentation and Analysis / Satellite Communication/ Embedded System Design / Radar and Navigational Aids / Introduction to Nanoscience & Nanotechnology / Neural Networks & Fuzzy Control / Digital System Design / Micro and Smart Systems Technology / Wireless Sensor Networks / Advanced Microcontrollers (ARM,DSP) / Opto Electronics / Applied Numerical Methods.
Last updated on 26 June 2020
Electronics and Communication Engineering with specialization in Biomedical Engineering is an interdisciplinary programme that combines Electronics Engineering with biology to solve medical problems in living systems. The course aims at enabling the students to acquire technical skills for becoming experts in designing Electronics Circuits, Embedded Systems, Imaging Techniques, Telemedicine, Healthcare Communication and Medical Informatics. The programme aims to equip students with skills to develop new technologies like Artificial Intelligence, Data Mining, Virtual Instrumentation, Nano and Wearable Technology. The strong collaborative connection with academia, industry and clinical research offers a prospective environment for a professional development and experience in the related fields.
Fundamentals of Mathematics (Bridge Course)/Life Sciences for Biomedical Engineers (Bridge Course)/Basic Electrical and Electronics Engineering/Analog Circuits/ Sensors and Transducers for Health Care/Digital Circuit Design/Applications of Differential and Difference Equations/Data Structures and Algorithms/Signals and Systems /Applied Linear Algebra/Electromagnetic Field Theory and Transmission Lines/ Biomedical Instrumentation and Measurements/Physiological Signal Processing/ Control Systems/Data Acquisition Techniques/Digital Image Processing for Medical Applications/Medical Device Technology/Principles of Communication Engineering/ Principles of Computer Communication/Microcontroller and Embedded Systems/ Physiological System Modelling.
Biochemical Analysis and Techniques/Materials for Organs and Devices/Tissue Engineering/ Biomechanics and Fluid Dynamics/Bioinformatics/Biometric Technology and Security Systems/Telemedicine and Virtual Instrumentation/Probability and Statistical Theory of Communication/EMC and EMI/Antenna and Microwave Engineering/Biomedical Imaging/Wearable Technology/Lab on-chip/Robotics and Automation/Artificial Intelligence for Biomedical/Data Mining/ Nano Medicine/Regenerative Medicine/Hospital Management/VLSI System Design/Medical Informatics/Chemical and Bio-sensors/Optical Communication and Networks/Information Theory and Coding/Wireless and Mobile Communication/Embedded Programming/M2M Communication/Applied Numerical Methods/Web Technologies/Data Base Management Systems
Last updated on 25 June 2020
It is an interdisciplinary programme that combines the study of electronic engineering, with an emphasis on computer science, internet technologies, wireless communications, sensor devices, and cloud computing. This programme aims to equip the students with a broader knowledge and practical skills on electronics engineering with computer technology and sensor networks that provides a wide range of applications in the Internet of Things. The programme will start with a strong foundation of mathematics in Yr.1 and continues with a basic theory of electronics and computer technology in Yr.2. In the Yrs. 3 & 4, core modules in electronics, computers and communication networks will be emphasised.
To emphasis the interdisciplinary skill requirement and provide the fundamental engineering knowledge on electronics, communication, sensors & instrumentation and computer science. To impart the knowledge on Architecture of IoT to develop theoretical framework of IoT, and for developing large-scale practical IoT systems. To meet the evolving IoT industry needs by addressing the challenges in Security in IoT, Integration of large scale heterogeneous network, Integration and interaction of uncertain data, and Service adaptation in the dynamic system environment.
Data Structures and Algorithms / Cloud Computing and Information Security / Applications of Differential and Difference Equations / Applied Linear Algebra / Basic Electrical and Electronics Engineering / Electronic Circuits / Electromagnetic Field Theory and Transmission Lines / Signal Analysis and Processing / Control Systems / Principles of Sensors and Data Acquisition / Principles of Communication Engineering / Digital Circuit Design / IoT System Architecture / Graphical System Design for Communication Engineers / Principles of Computer Communication / Microcontroller and Embedded Systems / Sensor Technology
Data Mining / IoT Edge Nodes and its Applications / Mobile App Development for IoT / Fiber Optic Sensors and Applications / Probability and Statistical Theory of Communication / EMC and EMI / VLSI System Design / Antennas and Wave Propagation / Microwave Engineering / IoT in Automotive Systems / IoT for Industrial Systems / RFID and Flexible Sensors / Sensors for Structural Health Monitoring / Wireless Sensor Networks and IoT / MEMS and Nano Sensors / Chemical and Bio-sensors / Wireless Technologies for IOT / Advanced Microcontrollers / Optical Communication and Networks / Information Theory and Coding / Wireless and Mobile Communication / Embedded Programming / M2M Communication / Embedded Sensing Technologies / Smart IoT Applications / Web Technologies / Geographical Information System / Applied Numerical Methods / Cyber Physical Systems / Data Analytics
The number of connected IoT (Internet of Things) devices, sensors and actuators will reach over 46 billion in 2021. The Global Internet of Things (IoT) market reached USD 598.2 Billion in 2015 and the market is expected to reach USD 724.2 Billion by 2023. Further, the market is projected to register a CAGR of 13.2% during the forecast period 2016-2023 globally. Employment, Research and Start up opportunities are inclined in line with the market projection. Futuristic IoT jobs are Agricultural Technologist, 3-D Printing Engineer, Wearable Tech Designer, Medical Robot Designer, Data Security Expert, Cloud Computing Specialist, E-discovery Investigator, Intermodal Transport Designers, Counter Hackers, and many more.
Last updated on 17 June 2020
Electronics and Communication Engineering with specialization in Sensors and Wearable Technology is a unique undergraduate course based on the prediction of industry needs in the near future. Sensors and Wearable technology is a inter-disciplinary program which includes cluster of technologies. The program aims to equip students with the basics of Electronics and Communication Engineering and also skills to develop new technologies for designing new wearable systems, data processing and analytics, deep learning, peer to peer communication and Internet of Things. Elective courses also helps the students to acquire technical knowledge for becoming experts in electronics, embedded systems, VLSI design, Wireless sensor networks, MEMS and NEMS.
Basic Electrical and Electronics Engineering/Analog Circuits/Basics of Sensors and Wearable Technology/Data Structures and Algorithms/Digital Circuit Design/Applications of Differential and Difference Equations/Electromagnetic Field Theory and Transmission Lines/Sensor Technology for Wearable Applications/Biomedical Instrumentation and Measurements/Signal Analysis and Processing/Applied Linear Algebra/Control Systems/Communication System Design /Data Acquisition Techniques/Principles of Communication Engineering/Wearable Technology and IoT/Principles of Computer Communication/Microcontroller and Embedded Systems/Wireless Sensor Networks and IoT/Data Analytics for Wearable Technology
Machine Learning and AI/Data Analytics using R Programming /Materials for Organs and Devices /Artificial Intelligence for Biomedical /Lab on-chip /Tissue Engineering / Data Mining/IoT Edge Nodes and its Applications/Mobile App Development for IoT/Fiber Optic Sensors and applications/Probability and Statistical Theory of Communication/EMC and EMI/VLSI System Design/Antenna and Wave Propagation/Microwave Engineering/RFID and Flexible Sensors/Sensors for Structural Health Monitoring/Wireless Sensor Networks and IoT/MEMS and Nano Sensors/Chemical and Bio-sensors/Wireless and Mobile Communication/Embedded Programming/M2M Communication/Embedded Sensing Technologies/Applied Numerical Methods/Web Technologies/Geographical Information System
The strong collaborative connection with academia, industry and national research organizations offer a prospective environment for professional development and expertise in the field.