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Final Exam Review

Final Exam Review. CS 3358. Exam Format. 150 Total Points 20 Points Writing Programs 65 Points Tracing Algorithms, determining results, and drawing pictures 50 Points Short Answer 15 Multiple Choice Similar to quizzes and programming assignments Note: the point values are approximations.

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Final Exam Review

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  1. Final Exam Review CS 3358

  2. Exam Format • 150 Total Points • 20 Points Writing Programs • 65 Points Tracing Algorithms, determining results, and drawing pictures • 50 Points Short Answer • 15 Multiple Choice • Similar to quizzes and programming assignments • Note: the point values are approximations

  3. Example Programming Problem • Given the ADT for the Stack_3358 at the end of the exam, implement the push, pop, isEmpty and isFull functions.

  4. Example Tracing Problems • What is the inorder traversal for the following BST? • What would the following heap look like after inserting 42? • What would this BST look like after deleting 42?

  5. Example Short Answer • What is the Big O time analysis of the insert operation in a doubly linked list when inserting before the cursor?

  6. Review of 2308 • ?? Points • Multiple files • Using header files • Command line arguments • OOP concepts. Especially those most useful for containers. • Overloaded operators • Copy constructors • Pointer variables • Understand the Climate and Go Fish programs • Obviously important concepts for the rest of the topics

  7. Analysis of Algorithms • 30 points • Don’t memorize definition • Does the amount of work depend on the size of the input? • Should be able to rank as faster or slower • Be able to analyze algorithms and code and determine Big O time analysis • Especially most common. O(1), O(n), O(n2), O (log2n) • Look for loops • How fast does the problem shrink?

  8. List ADT • 20 Points • Know the definition of the List ADT • May have to implement • Array-based list • Pointer-based linked list • Array-based linked list • Pointer-based doubly-linked list • Array-based doubly-linked list • Be able to do the time analysis for any of the functions in the List ADT definition we used for the program • Understand the List ADT program

  9. Templates • 0 Points • Why? • Templated functions • Templated Classes • Understand the Stack Fun and Sort’em programs • Important, but not on exam

  10. Stack ADT • 0 points • Understand basic functions • Push • Pop • IsEmpty • isFull • Should be able to implement array or linked list version of stack • Be able to use a stack to solve a problem • How does a stack relate to recursion? • Understand Stack Fun assignment

  11. Queue ADT • 10 Points • Know the basic functions • Enqueue • Dequeue • isFull • isEmpty • Be able to implement circular array-based queue • Be able to implement a linked list version of a queue • Understand the Tree Search program

  12. Recursion • 20 Points • Understand • Base case • Smaller caller • General case • Will have to write a recursive function • Be able to do time analysis of a recursive function • Understand math stuff, recursive flood fill, and especially binary search trees

  13. Sorting • 10 Points • Algorithms • Will not have to code the sorts • Will likely have to draw or trace • Time and space considerations • O(n2) sorts • Selection sort • Insertion sort • O(nlog2n) sorts • Mergesort • Quicksort

  14. Hashing • 20 Points • Hash tables • Hash Functions • Using strings as keys • Collisions • Separate chaining • Open Addressing • Linear probing • Quadratic probing • Double Hashing • Be able to hash a list of keys given a function and collision strategy

  15. Trees • 40 Points • Definitions • Terminology: path, depth, height, etc. • General Trees vs. Binary Trees • Tree Traversals • Preorder • Inorder • Postorder • Binary Search Trees

  16. Trees (cont.) • Binary Search Tree • Find • Insert • Delete • Count Nodes • Be able to code anything from BST_3358 • Understand the Tree Search

  17. Heaps • 15 Points • Definitions • Full binary tree • Complete binary tree • Array-based implementation of binary trees • Parent-child relationships • Calculations to find nodes • Heap property • ReheapDown, ReheapUp

  18. Priority Queues • 5 Points • Can be implemented as a heap • Know the algorithms • enQueue • deQueue • Be able to figure out Big O analysis of operations

  19. HeapSort • 0 Points • Basic Algorithm • Transform array items into heap • Get smallest item and reheap until heap is empty • Big O analysis

  20. Not on this exam • Code examples from the book • Only what we covered in class and on the programs

  21. How to Study • Review the programs. • Rewrite them if you have time (especially the parts you had trouble with) • Learn by doing and recognizing patterns. • Use the exam for clues on the other problems and for help with syntax. • Don’t stay up late!! Get some sleep and eat a good breakfast.

  22. What to bring • Pencils and erasers • We will provide scratch paper • No calculators

  23. Questions

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