Exploring State-of-the-Art Methods in Mastering Digital Signal Processing through Blended Learning

This study highlights the necessity of employing extremely potent software tools for both teaching and mastering mathematically complex theory subjects. In the field of Electrical Engineering, there are courses like Engineering Electromagnetics, Signals & Systems, Control Systems, Digital Signal Processing, Digital Image Processing, Antennas & Wave Propagation, etc., where students learn very little because teachers must spend a lot of time in the classroom explaining mathematical principles. Since lecturing alone doesn't aid in the appropriate interpretation of the material, learners perceive it as being extremely difficult and unconnected. A robust graphical data flow programming environment with an extensive library of functions and tool sets in both simulation and real-time mode is one of the many such software tools that are currently accessible. With the use of these technologies, students from non-electronics streams can complete courses with a strong mathematical foundation more quickly and easily. This paper uses Orange Data Mining software tools, ChatGPT, Google Classroom, Matlab, and the Whatsapp platform to teach digital signal processing more effectively. Educators may focus more on practice because of this kind of research, which encourages students to learn for themselves.