Survey of advanced algorithms and data structures such as heaps and heapsort, quicksort, red-black trees, B-trees, hash tables, graph algorithms, divide and conquer algorithms, dynamic programming, and greedy algorithms. Methods for proving correctness and asymptotic analysis.
DurationSurvey of advanced algorithms and data structures such as heaps and heapsort, quicksort, red-black trees, B-trees, hash tables, graph algorithms, divide and conquer algorithms, dynamic programming, and greedy algorithms. Methods for proving correctness and asymptotic analysis.
Mission Statement
Improve English language skills of students at the University of Minnesota, helping them develop cultural understanding and the communication, critical thinking, and academic skills needed to be successful in academic, professional, and social settings.
Help internationalize the University of Minnesota by providing native speakers of other languages access to the University, serving as a resource to University programs and faculty who work with multilingual students, and fostering greater understanding of linguistic and cultural diversity.
Support the ESL profession by offering training opportunities for ESL teachers, providing continued development for ESL professionals, and contributing to the field through presentations, publications, and collaboration on research in second-language teaching and learning.
This course presents some fundamental data structures, including lists, stacks, queues, hashes, and binary trees. Students will master a number of algorithms including Mergesort and Quicksort.
This course is designed to give experienced web developers an advanced understanding of algorithmic thinking, the varieties of common data structures and their applications in databases and modern blockchain applications.
This course covers data structures, recursion, analysis, sorting and searching (sequential and binary), tree and tree algorithms, graphs and graph algorithms, as related to organizational problem solving across industries.
This is a undergraduate level course in data structures. The course in intended for developing foundations in data structures with a focus on solving problems and building core data structures.
The AP Computer Science Java is a UC and CSU approved college preparatory elective course offered by High Schools.
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