Course Name: Basics of Software Defined Radios and Practical Applications

Course abstract

Software-defined radio (SDR) is an inherent part of modern communication system, where many processes, which used to be implemented in hardware, are defined in software domain for flexibility and configurability. This course describes various components of software-defined-radios with the understanding of their limitation and application of ‘software-defined-solutions’ to overcome such limitations. Understanding the interplay of analog and digital signal processing for power as well as spectrum efficient transmission and reception of signal leads to an optimized, yet, practical radio solution. This course will allow students to understand (1) the terminology used in industrial data-sheets and (2) motivation for selecting appropriate commercial solutions for a practical transceiver design.


Course Instructor

Media Object

Prof. Meenakshi Rawat

Dr. Meenakshi Rawat received the BTech degree in electrical engineering from the GovindBallabh Pant University of Agriculture and Technology, Uttarakhand, India, in 2006, and the MSc and PhD degrees in electrical and computer engineering from the University of Calgary, Calgary, AB, Canada, in 2012. From September 2012 to June 2013, she was a Post-Doctoral Research Fellow with the University of Calgary. From July 2013 to June 2014, she was a Post-Doctoral Project Researcher/Scientist with the Ohio State University. She is currently an Assistant Professor with the Indian Institute of Technology (IIT), Roorkee, Uttarakhand, India. Dr. Rawat was workshop co-chair for ARFTG-82 and session co-chair for MMwave and THz Designs for iMARC 2014, Bangalore, India. She was part of the Calgary group that won Overall Championship and Best Design Prize of the 3rd Annual Smart Radio Challenge, Wireless Innovation Forum. She was also the three-time recipient of the ResearchProduction Award in the University of Calgary and Best Poster Award of the 82nd Automatic RF Techniques Group (ARFTG) Conference, Columbus, OH, USA, in 2013. She is currently handling four research projects with funding from defense, private telecommunication industries and one internationational funding related to SDR for 5G communication


Teaching Assistant(s)

Girish Chandra Tripathi

Ph.D. , Communication system

Praveen Jaraut

Ph.D., Electronics and Communication Engineering

 Course Duration : Jan-Feb 2019

  View Course

 Syllabus

 Enrollment : 15-Nov-2018 to 28-Jan-2019

 Exam registration : 28-Jan-2019 to 22-Feb-2019

 Exam Date : 31-Mar-2019

Enrolled

2204

Registered

184

Certificate Eligible

140

Certified Category Count

Gold

1

Silver

36

Elite

41

Successfully completed

62

Participation

17

Success

Elite

Silver

Gold





Legend

>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 3 out of 4 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Basics of Software Defined Radios and Practical Applications - Toppers list
Top 1 % of Certified Candidates

PILLI RAGHU 90%

URSC


Top 2 % of Certified Candidates

SHAIK THASLEEM BHANU 88%

RAJALAKSHMI ENGINEERING COLLEGE

JAYA MISHRA 88%

INDIAN INSTITUTE OF TECHNOLOGY,ROORKEE


Top 5 % of Certified Candidates

MANSI RASTOGI 86%

BABARIA INSTITUTE OF TECHNOLOGY

GEDELA SANTOSH KUMAR 85%

ASTRA MICROWAVE PRODUCTS LIMITED

PRADEEP R 84%

BHARAT ELECTRONICS LIMITED

G. SUDHA 84%

SRI SAI RAM ENGINEERING COLLEGE

Enrollment Statistics

Total Enrollment: 2204

Registration Statistics

Total Registration : 184

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.