Exploration of the design and implementation of data structures and algorithms fundamental to computer systems and applications and to software engineering.
Exploration of the design and implementation of data structures and algorithms fundamental to computer systems and applications and to software engineering.
Topics include trees, graphs, basic analysis of algorithmic complexity, fundamental questions of computability, and introduction to the algorithmic basis of intelligent systems. Programming projects.
Metropolitan State was established in 1971, and now serves more than 10,500 students in the metropolitan area as we approach our fiftieth anniversary.
Metropolitan State is a fully accredited, comprehensive university and a member of the Minnesota State higher education system. CollegeNet’s 2022 Social Mobility Index.
Measuring colleges’ and universities’ success in elevating students from low income strata into the middle class by five years after graduation, ranks us twenty-second in the nation (in the top 1.6 percent), and first in Minnesota.
With more than 50 undergraduate programs and more than 25 graduate programs, including our unique individualized studies programs where students design their own bachelor's or master's programs, Metropolitan State offers in-demand degrees to help you get where you want to go!
Regardless of where you are in your life and educational journey, Metropolitan State is committed to helping you succeed on your journey of lifelong learning!
University Mission Statement
Metropolitan State University is a comprehensive urban university committed to meeting the higher education needs of the Twin Cities and greater metropolitan population.
The university will provide accessible, high-quality liberal arts, professional, and graduate education to the citizens and communities of the metropolitan area, with continued emphasis on underserved groups, including adults and communities of color.
Within the context of lifelong learning, the university will build on its national reputation for innovative student-centered programs that enable students from diverse backgrounds achieve their educational goals.
The university is committed to academic excellence and community partnerships through curriculum, teaching, scholarship and services designed to support an urban mission.
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.
The analysis and design of computer algorithms and their underlying data structures. Analysis of the timing and efficiency of algorithms. Study of lists, stacks, queues, trees, backtracking, searching, sorting and recursion.
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