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ABOUT THE COURSE:This course offers a comprehensive introduction to the mathematical modeling and algorithmic analysis of graph-based problems. Students will gain a solid foundation in core graph algorithms and the efficient data structures that power them. Through a theoretical concept, the course emphasizes key algorithmic paradigms such as greedy methods, dynamic programming, and augmented data structures in the context of solving real-world problems. A strong focus will be placed on analyzing algorithm performance using time and space complexity, enabling students to assess efficiency and scalability. This course is designed to strengthen problem solving skills and bridge the gap between theory and implementation, the course also serves as a stepping stone for advanced studies and research in algorithmic graph theory, network science, and computational complexity.INTENDED AUDIENCE: Computer SciencePREREQUISITES: Data Structure, Graph Theory and ProbabilityINDUSTRY SUPPORT: Stratign FZE, Dubai(UAE), SAG, DRDO, ISRO, WESEE, NTRO.
