Foundations of graph theory and network analysis, with applications to algorithms, complex systems, and biological networks such as gene regulatory systems.
Focus: Algorithms · Network Science · Biological Networks
Level: Undergraduate / Graduate
Core concepts including graphs, nodes, edges, and fundamental properties of network structures.
Access materialsKey properties of graphs such as degree distribution, centrality, and structural measures.
Access materialsExploration techniques including depth-first search (DFS) and breadth-first search (BFS).
Access materialsShortest path computation in weighted graphs and applications in network optimization.
Access materialsProbabilistic models of networks and their applications in complex systems and data science.
Access materialsStudy of neural connectivity using graph theory applied to biological networks.
Access materials Access DataHands-on project applying graph theory to biological networks, focusing on gene regulatory interactions.
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