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.
Exploration of the design and implementation of data structures and algorithms fundamental to computer systems and applications and to software engineering.
The Data Structures & Algorithms course begins with a review of some important Java techniques and nuances in programming. The course requires some prior knowledge of Java and object-oriented programming, but not in data structures or algorithms.
Algorithms and data structures are the essential frameworks for solving almost any computer engineering problem.
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.
This course covers the theory and application of commonly used data structures and related algorithms for maintaining them. Emphasis is placed on efficiency, appropriate use, and the creation of encapsulated, object-oriented data structures.
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