Graph Algorithms: BasicsIntroduces the basics of graph algorithms, covering traversal, representation, and data structures for BFS and DFS.
Link-based ranking: PageRank & HITSExplores link-based ranking through PageRank and HITS algorithms, covering practical examples and challenges in web search and ranking methods.
Link IndexingExplores adjacency lists, locality, similarity, and efficient representation in link indexing.
Graphs: BFSIntroduces elementary graph algorithms, focusing on Breadth-First Search and Depth-First Search.
Neural Signal CompressionExplores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.
JPEG 2000: Image CompressionExplores image compression principles, focusing on JPEG 2000, covering transform-based coding, quantization, entropy coding, region of interest, error resilience, and software implementations.
Data Compression: Entropy DefinitionExplores data compression through entropy definition, types, and practical examples, illustrating its role in efficient information storage and transmission.
Entropy and Compression IExplores entropy theory, compression without loss, and the efficiency of the Shannon-Fano algorithm in data compression.