Data Structures & Algorithms — Interactive Reveal.js Presentations
Complete lecture covering development process models, requirements engineering, design & implementation, integration & testing, and case studies for AI embedded systems.
→Detailed exploration of V-Model adaptations, Agile for embedded AI, MLOps/TinyMLOps, and hybrid process models for safety-critical AI systems.
→Comprehensive coverage of binary search trees, self-balancing AVL trees with rotations, disk-optimized B-trees, and database-indexing B+ trees with interactive visualizations.
→Graph representations, BFS/DFS, Dijkstra's, Bellman-Ford, Floyd-Warshall, Prim's and Kruskal's MST algorithms with animated SVG visualizations.
→Interactive tutorial covering Selection, Insertion, Quick, Merge, Heap, and Shell sort with step-by-step animation controls and algorithm comparison dashboard.
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