This university course explores key mathematical concepts and their real-world applications across disciplines like engineering, economics, and data science. It begins with the study of parabolas and their geometric and physical significance, followed by statistical tools such as mean and standard deviation for data analysis. The course then covers linear programming for optimization problems and introduces graph theory, including Kruskal’s algorithm for minimum spanning trees. Each topic highlights how abstract mathematics underpins practical problem-solving.