Visual presentation of abstract theoretical concepts using animations in communication systems courses

A new approach to teaching Communication Systems course is proposed, which is based on the use of animations as a complement to the lecture material. The animations are designed to visualize abstract mathematical concepts, related to modulation techniques and communication system analysis in presence of noise, and present these concepts to the students in visual and understandable form in the classroom. The animations have double purpose. They are to be used, firstly, by the lecturers during lecture presentations, and secondly, as an additional aid to the students to support their self‐learning activity. The animations are developed on MATLAB platform.

[1]  P. Mohana Shankar,et al.  Project-based instruction in wireless communications at the junior level , 2000, IEEE Trans. Educ..

[2]  Peter S. Rha Simulation and visualization of the Viterbi decoder using a spreadsheet , 2003, IEEE Trans. Educ..

[3]  Fabio G. Guerrero,et al.  A Constructivist Simulation-Based Methodology for Teaching Mobile Communications , 2008, IEEE Transactions on Education.

[4]  Ece Yaprak,et al.  Error detection and correction templates for digital courses , 1999 .

[5]  Hüseyin Arslan,et al.  A Wireless Communications Systems Laboratory Course , 2010, IEEE Transactions on Education.

[6]  A. Herrera,et al.  Design of a course of random signals using MATLAB , 1996, Technology-Based Re-Engineering Engineering Education Proceedings of Frontiers in Education FIE'96 26th Annual Conference.

[7]  Jeng-Tzong Chen,et al.  One‐dimensional wave animation using Mathematica , 2009, Comput. Appl. Eng. Educ..

[8]  P. Mohana Shankar,et al.  Simulation of flat fading using MATLAB for classroom instruction , 2002, IEEE Trans. Educ..

[9]  Gordana Jovanovic-Dolecek,et al.  On MATLAB demonstrations of narrowband Gaussian noise , 2011, Comput. Appl. Eng. Educ..

[10]  Frank A. Cassara Wireless communications laboratory , 2006, IEEE Transactions on Education.

[11]  P. K. Chaturvedi,et al.  Communication Systems , 2002, IFIP — The International Federation for Information Processing.

[12]  Adriana Dapena,et al.  Testbed‐assisted learning for digital communications courses , 2013, Comput. Appl. Eng. Educ..

[13]  Antonio J. López-Martín,et al.  Teaching random signals and noise: an experimental approach , 2004, IEEE Transactions on Education.

[14]  Gordana Jovanovic-Dolecek Interactive MATLAB-based demo program for sum of independent random variables , 2013, Comput. Appl. Eng. Educ..

[15]  Gordana Jovanovic-Dolecek MATLAB-Based Program for Teaching Autocorrelation Function and Noise Concepts , 2012, IEEE Trans. Educ..

[16]  Yair Linn An Ultra Low Cost Wireless Communications Laboratory for Education and Research , 2012, IEEE Transactions on Education.

[17]  aw Kula Fundamentals of Communication Systems , 2022 .