CSE 332 Summer 2019 Midterm

Midterm Exam: Friday July 19 in class

A Blank copy of this quarter's midterm, and its 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 closed forms of any summations you need and a statement of the Master Theorem (a copy is viewable here).
All material from the course from lecture 1 up to and including separate chaining hash tables (lecture 9) is fair game; open addressing hashing will NOT be on the midterm. Check the lecture calendar for links to all slides.

Possible topics Include at least: (NOT NECESSARILY AN EXHAUSTIVE LIST)

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
- Given code for a recursive function, find a recurrence to describe its running time or output
Binary Heaps:
- Structure & ordering properties
- Related: Perfect and Complete Trees.
- Both min and max heaps
- Insertion, findMin, deleteMin, increaseKey, decreaseKey, remove, Floyd's buildHeap
- Run-times for all the above; including 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
Hashtables:
- Basics of good Hash function design
- Strengths/weaknesses of separate chaining
- Load factor
- Run-times
- Deletion
- How to resize a hash table when it gets too full

Stuff that you will NOT be tested on:

Eclipse
Generics
Java syntax

Misc.:

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 strong 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.

Previous Exams

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. In particular, B-trees will not be covered on our midterm (but will be very frequent in the old ones) 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.

Midterm Exam: Friday July 19 in class

Possible topics Include at least: (NOT NECESSARILY AN EXHAUSTIVE LIST)

Stuff that you will NOT be tested on:

Misc.:

Previous Exams

Previous CSE 332 Exams

Good luck with your exam studying!