Basic concepts and practices of computer science. Topics include algorithmic problem solving, levels of abstraction, object-oriented design and programming, software organization, analysis of algorithm and data structures.
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April 10:
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April 12:
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Expanded Course Description
The course introduces the concept of abstract data type, and several abstract data types, e.g., lists, stacks, queues, binary trees, are defined and implemented. The course also covers basics of algorithm design and analysis. Recursive and iterative approaches to problem solving are covered, with means for developing and analyzing the resultant algorithms. Notions of correctness proof and Big-O time complexity are explored.
