Course Name: Modern digital communication techniques

Course abstract

The course Modern Digital Communication Techniques in taught in IIT Kharagpur as a 4 credit (4 hrs / week) core subject in the Masters program of Telecommunications systems engineering in the department of Electronics and Electrical Communication Engineering. It is taken in the first semester by master degree students, PhD students and Masters by research students. It is also taken as elective by final year UG students. It is also taken as a core subject by Dual degree students who specialize in the field of communication engineering.

Digital communications has had one of the most profound influences in the development of the mankind. It is behind the success of today networked society. The objective of this course is to present the engineering principles, theories and practices, which are necessary for successful design of a digital communication system.

The course will delve into the design principles of transmitter and receiver so as to establish a reliable communication link. This course aims at enabling the participants to establish unambiguous mathematical statements describing every step of transmitting and receiving a signal through a communication link. It aims at exposing the details of noise, its modeling and its effect on communication systems design. It will cover methods of performance analysis of digital communication systems. Through use of fundamental knowledge developed in related areas of signal processing, the course aims at presenting a unified way of analyzing and designing a digital communication system. It will encompass central aspects of estimation and detection theory, which are crucial in designing a complete receiver (synchronization, channel equalization, etc.).

At the end of the course, the participant will be equipped with methods of systematic representation, analysis and design of a digital communication system which are essential in designing communication systems with complex and futuristic requirements


Course Instructor

Media Object

Prof. Suvra Sekhar Das

Dr. Suvra Sekhar Das is currently serving as associate professor at the G. S. Sanyal School of Telecommunictions in Indian Institute of Technology Kharagpur. He has completed Ph.D. from Aalborg University, Aalborg, Denmark. He has worked as Senior Scientist with the Innovation Laboratory of Tata Consultancy Services. His research interests include cross-layer optimization of mobile broadband cellular networks, 5G, Broadband Mobile Communications, 5G Waveform design GFDM FBMC UFMC, heteogeneous networks Femto Cells Device to Device communication, Multi objective optimization for radio access networks, Green radio network design Packet Scheduling and radio resource allocation with link adaptation, MIMO communications, base-band transceiver design for broadband wireless communication systems. He has delivered several tutorials and seminars on next generation wireless communications. He has guided several PhD students, published several research papers in international journals and conferences. He has co-authored two books titled Adaptive PHY-MAC Design for Broadband Wireless Systems and Single- and Multi-Carrier MIMO Transmission for Broadband Wireless Systems . He has developed teaching resource fading channel and mobile communications freely available as interactive web material for learners of mobile communications (http://fcmcvlab.iitkgp.ac.in/ with nearly 2 lacs hits). He has taught several subjects such as Modern digital communication techniques, Broadband access systems, mobile communications and fading, teletraffic engineering, introduction to wireless communication and MIMO communications.


More info

Teaching Assistant(s)

SANDEEP MUKHERJEE

Post Doctoral Fellow, G. S. Sanyal School of Telecommunication, IIT Kharagpur

U KAMAL KUMAR

B.Tech(IT)

Sourav Chatterjee

Ph.D (Pursuing), IIT Kharagpur

 Course Duration : Jul-Oct 2017

  View Course

 Syllabus

 Enrollment : 17-May-2017 to 24-Jul-2017

 Exam registration : 30-Aug-2017 to 20-Sep-2017

 Exam Date : 22-Oct-2017

Enrolled

4917

Registered

Certificate Eligible

320

Certified Category Count

Gold

4

Elite

92

Successfully completed

224

Participation

50

Success

Elite

Gold





Legend

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

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
Modern digital communication techniques - Toppers list
Top 1 % of Certified Candidates

R S S MAUKTHIKA 93%

VNR VIGNANA JYOTHI INSTITUTE OF ENGINEERING &TECHNOLOGY

PARESH CHANDRA SAU 92%

GLA UNIVERSITY

RAJNARAYAN SHRIWAS 91%

PUNE INSTITUTE OF COMPUTER TECHNOLOGY


Top 2 % of Certified Candidates

L SUNANDA 90%

ANDHRA UNIVERSITY COLLEGE OF ENGINEERING FOR WOMEN

SMITH SUDHAKARAN THAVALAPILL 88%

DHARAMSINH DESAI UNIVERSITY,NADIAD

KAVITHA K 86%

KUMARAGURU COLLEGE OF TECHNOLOGY


Top 5 % of Certified Candidates

MOH AARIF AHMED 84%

GLOCAL UNIVERSITY

PACHIGOLLA S S YATISH 84%

NATIONAL INSTITUTE OF TECHNOLOGY SIKKIM

LOKESH MARISETTY 84%

HONEYWELL TECHNOLOGY SOLUTIONS LAB

KALIDINDI KINNERA PAVANA KUMARI 81%

ANDHRA UNIVERSITY COLLEGE OF ENGINEERING FOR WOMEN

AMOL BHASKAR KOTADE 81%

MET BHUJBAL KNOWLEDGE CITY INSTITUTE OF ENGINEERING

YAMINI SRI NAGA DURGA MUVVA 80%

ANDHRA UNIVERSITY COLLEGE OF ENGINEERING

SUNDARARAJAN.P.N 79%

PSNA COLLEGE OF ENGINEERING AND TECHNOLOGY

JAI 79%

NBN SINHGAD SCHOOL OF ENGINEERING

SOWMYA JOSHI 78%

CENTRAL UNIVERSITY OF KARNATAKA

R NAGARAJ 78%

SRI VENKATESWARA COLLEGE OF ENGINEERING

RELANGI ANIL KUMAR 78%

ADITYA COLLEGE OF ENGINEERING AND TECHNOLOGY

G THIRUNAVUKKARASU 78%

KONGU ENGINEERING COLLEGE

Enrollment Statistics

Total Enrollment: 4917

Registration Statistics

Total Registration : 396

Data Not Found..!

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.