Source coding, or data compression, reduces the number of bits needed for transmission, enhancing efficiency. Channel coding optimizes signal transmission by addressing specific noise characteristics and signal-to-noise ratios (SNR) of the channel. Effective channel coding requires techniques like interleaving and forward error correction (FEC) to maintain a low bit error rate (BER), ideally achieving near-zero BER with proper integration and coding strategies. Shannon's principles advise against splitting wideband channels into narrower bands for data transmission, emphasizing the importance of modulation to maximize channel use. The discussion highlights the evolving technologies in both source and channel coding to improve communication efficiency.