Mar 29, 2024  
2017-2018 Undergraduate Catalog 
    
2017-2018 Undergraduate Catalog [ARCHIVED CATALOG]

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CSCI 315 - Data Structure Analysis


(4 hours) Prerequisites: CSCI 325 grade of “C” or better. The effective application of data structures and abstract data types. Abstract data types studied include: lists, stacks, queues and trees. Implementation methods include: arrays, classes, pointers and recursion. Analysis methods include Big-Oh notation using induction and recurrence relations. Topics also include ethical issues in computer science. (C++ currently used). Lecture 3 hours, laboratory 2 hours. (Laboratory fee required)



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