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Essential Guide to Algorithms and Data Structures in CS312

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Understand algorithms and data structures with this guide. Learn their importance, evaluation methods, common types, and implementation techniques. Explore course resources and administrative details to excel in CS312.

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Essential Guide to Algorithms and Data Structures in CS312

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  1. CS312Algorithms Sami Rollins srollins@mtholyoke.edu Spring 2006

  2. Introduction • What is an algorithm? • Why study algorithms? • How do you evaluate an algorithm?

  3. Administrative Information • Course Website • Syllabus • Academic Dishonesty • Calendar http://www.mtholyoke.edu/courses/srollins/cs312/

  4. Data Structures • What is a data structure? • “a scheme for organizing related pieces of information.“ -http://www.webopedia.com/TERM/D/data_structure.html • Typically describes the operations which can be performed on the data and/or how data are organized to support those operations • Example data structures? • Array? • Linked list?

  5. Common Data Structures • Stacks – Last In First Out (LIFO) • Insert on top • Remove top element • Queues – First In First Out (FIFO) • Insert at end • Remove from beginning • Trees - Hierarchy • Root • Parent • Children

  6. Choosing a Data Structure • When would you use a… • Stack? • Queue? • Tree?

  7. Implementing Data Structures • How would you implement a… • Stack? • Queue? • Tree?

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