- NEW! CSE 332 18wi Midterm, Solution

- Exam policies
- Closed book, closed notes.
- No calculators, cell phones, or other electronic devices allowed.
- Writing after time has been called will result in a loss of points on your exam.
- You will be provided these summations.

- All material from the course from lecture 1 up to and including B-trees is fair game; hashing will NOT be on the midterm. Check the lecture calendar for links to all slides and ink used in class, as well as readings for each topic.
- Stacks and Queues - array and linked list implementations. Runtimes.
- Big Oh (and Omega & Theta):
- Know the definition
- Be able to evaluate whether f(x) is O(g(x)), Big Omega, Big Theta
- Be able to find constants c & n0 to demonstrate Big Oh, Big Omega, Big Theta
- Examining code to determine its Big O running time.

- Recurrence Relations:
- Know closed form for common recurrence relations
- Given a recurrence relation, solve to closed form

- Binary Heaps:
- Structure & ordering properties
- Related: Perfect and Complete Trees.
- Insertion, findMin, deleteMin, increaseKey, decreaseKey, remove, buildHeap
- Run-times for all the above; including intuition for expected O(1) for insert & O(n) for buildHeap
- Array representation
- D-heaps - how different/related to Binary Heaps

- Dictionary ADT: insert, find, delete
- Binary Search Trees:
- Binary property, BST ordering property
- Inorder, Preorder, Postorder traversals
- Find, insert & delete
- Run-times for all the above

- AVL Trees:
- BST with stored height & balance property
- Height bound resulting from balance property (you do not need to memorize the proof, but being familiar with how you construct the worst case AVL tree may be helpful)
- Insertions; different rotation cases, no delete
- Run-time for find & insert

- B-Trees:
- Motivation for the B-Tree; how it can minimize disk accesses
- Structure, ordering; use of M, L; principles behind the selection of M & L
- Insertion, find, deletion; the rules followed for insertion and deletion will be those shown in lecture
- Run-times of the above

- Eclipse
- Generics
- Java syntax
- Note that you may be required to write pseudocode, but it will be evaluated as an algorithm, not as valid Java (or whatever) code
- Writing a simple proof of some sort is a possibility. Any such proof will be intended to show that you know how to prove things. You will not be expected to have a "magic insight" in order to complete the proof.
- The homeworks, section problems and quickchecks thus far are a decent indication of the types of questions that could be asked.
- CSE 332 17au Midterm, Solution
- CSE 332 16au Midterm, Solution
- CSE 332 15wi Midterm, Solution
- CSE 332 14 sp Midterm, Solution
- CSE 332 13au Midterm, Solution
- CSE 332 13sp Midterm, Solution
- CSE 332 13wi Midterm, Solution
- CSE 332 12sp Midterm, Solution
- CSE 332 12wi Midterm, Solution
- CSE 332 11wi Midterm, Solution
- CSE 332 10su midterm Solution
- CSE 332 10sp midterm Solution

We provide some exams from previous quarters of 332 to help with
your studying. Be aware that the topics covered may vary from what
will be covered on our exam - refer to the list above if you are
wondering about a particular topic. Our hope is that these exams
will be useful in your studying, ***but you should *NOT* take
them as a guarantee of exactly what your exam will be like this
quarter*.** They are provided only to help you in your
studying. We recommend *taking* these exams on your own in a timed
environment to get practice both with the material and with
managing your time. Most students find this approach better
preparation than just looking at the solutions.