Concept of Stability in ODEsExplores stability in ODEs, including error checks, equilibrium points, and global attractors, with a focus on numerical schemes like Euler's method.
Channel Coding and BICM (LLRs)Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.
Error Correction: BasicsIntroduces the basics of error correction in data transmission, emphasizing the importance of adding redundancy to prevent errors.
Machine Learning FundamentalsIntroduces fundamental machine learning concepts, covering regression, classification, dimensionality reduction, and deep generative models.
Lecture: ShannonCovers the basics of information theory, focusing on Shannon's setting and channel transmission.
Deep Learning Modus OperandiExplores the benefits of deeper networks in deep learning and the importance of over-parameterization and generalization.
Machine Learning BiasesCovers the basics of machine learning, challenges in deployment, adversarial attacks, and privacy concerns.