विज्ञान शास्त्र प्रौद्योगिकी और परिशोधन संगठन
విజ్ఞాన శాస్త్ర సాంకేతిక పరిశోధనా సంస్థ
Dept. of Electronics
Home Electronics Home M.Tech Programme
  • Programme Description
  • Programme Structure
  • Programme Enquiry

Programme Educational Objectives (PEOs)

PEO 1: Identify and apply appropriate Electronic Design Automation (EDA) to solve real world problems in Embedded Systems and Networking domain to create innovative products and systems.

PEO 2: Pursue career in research in Embedded Systems domain through self learning and self directed on cutting edge technologies.

Programme Specific Outcomes (PSOs)
The students will be able to
PSO 1: Acquire competency in areas of Embedded Systems prototype development focusing on IoT applications.

PSO 2: Integration of embedded software and hardware for design methodologies in Embedded Systems.

Programme Outcomes (POs)
PO 1: Acquire in-depth knowledge in the field of Embedded Systems with an ability to evaluate and analyse the existing knowledge for enhancement.

PO 2: Analyse critical complex engineering problems and provide solutions through research.

PO 3: Identity the areas for the development of Electronic hardware design for the benefit of the society.

PO 4: Extract information pertinent to challenging problems through literature survey and by applying appropriate research methodologies, techniques and tools to the development of technological knowledge.

PO 5: Select, learn and apply appropriate techniques, resources and modern engineering tools to complex engineering activities with an understanding of limitations.

PO 6: Understand group dynamics, recognise opportunities and contribute positively to multidisciplinary work to achieve common goals for further learning.

PO 7: Demonstrate engineering principles and apply the same to manage projects efficiently as a team after considering economical and financial factors.

PO 8: Communicate with engineering community and society regarding complex engineering activities effectively through reports, design documentation and presentations.

PO 9: Engage with commitment in life-long learning independently to improve knowledge and competence.

PO 10: Acquire professional and intellectual integrity, professional code and conduct, ethics of research and scholarship by considering the research outcomes to the community for sustainable development of society.

PO 11: Observe and examine critically the outcomes and make corrective measures, and learn from mistakes without depending on external feedback.

PO 12: Able to plan, conduct an organized and systematic study on significant research topic within the field of Embedded Systems and its allied field.

I Year I Semester
Code Subject L T P C
20ES001 Real Time Systems 3 - - 3
20ES002 Embedded Systems Architecture 3 - 2 4
20ES003 Design of Internet of Things 3 - 2 4
20ES004 Advanced Embedded Computing System 3 - - 3
  Department Elective - 1 3 - - 3
20AD001 Audit Course – I 1 - - -
20ES005 Audit Course - II - - 3 2
Total 13 0 7 19

I Year II Semester
Code Subject L T P C
20ES006 Hardware Software Co-design 3 - 2 4
20ES007 Principles of Embedded Software 3 - 2 4
  Department Elective - 2 3 - - 3
  Department Elective - 3 3 - - 3
20RM001 Research methodology & IPR 2 - - 2
20AD002 Audit course-2 1 - - -
20EP001 EOP - - 3 2
20SC001 Societal Centric / Industry Oriented Project - - 3 2
Total 15 0 10 20

II Year III Semester
Code Subject L T P C
20OC001 MOOCS Course-1 3 - - 3
20OC002 MOOCS Course-2 3 - - 3
Total 6

II Year IV Semester
Code Subject L T P C
20PR001 Project / Internship Phase-1 - - 20 10
20PR002 Project / Internship Phase-2 - - 32 16
Total 26

Course Code Name of the Subject
20ES008 Smart Sensors and Actuators
20ES009 Industrial Internet of Things
20ES010 Programmable Logic Embedded System Design
20ES011 Digital Image Processing
20ES012 Embedded Machine Vision
20ES013 Embedded System Security
20ES014 Advanced Computer Architecture
20ES015 Wireless Communication and Networks
20ES016 Ad-hoc Sensor Networks
20ES017 DSP Processors
20ES018 Data Communications
20ES019 Artificial Neural Networks and Deep Architectures
20ES020 Design of Fault-tolerant Systems
20ES021 Hardware Architectures for Deep Learning
20ES022 Data Structures and Algorithms for Embedded Programming
Programme Name M.Tech in Emmbedded Systems
Level Post Graduation
Programme Specific Enquiries 0863-2344735
Admission Enrollment and General Enquiries 0863-2344777, 1800-425-2529
HoD Contact Number 7989672766 / 9703551269

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