CSSE230 – Data Structures and Algorithms

Winter 2018 (aka 201920)

Schedule Overview

All non-Moodle web pages for the course are available from this index page.

This schedule page will begin with the schedule from a previous term, which will be updated as we go. We’ll try to update assignments and readings at least a week in advance. We’ll update daily schedules and slides just before class.

Preparation is to be completed before the class session.

Unless otherwise noted, all assignments are due at 11:00 PM on the day indicated.

Dr. Holly's ScheduleCSSE Lab AssistantsSoph. Resident Tutor for CSSE230
Google sheetPDFGoogle calendar

Schedule last updated Sat Dec 15.

Session quick links:  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31

Week Session Preparation Due Topics Resources Major Programs
1

1

Tue Nov 27

Details
  • Read the Syllabus
  • Bookmark this schedule page.
  • Email your instructor if you forgot your SVN password
  • Review Weiss Ch. 1–6 this week: many pages, mostly review. Carefully read the new stuff and skim the rest: this document may help guide you).
  • Install software for the course:
    • Java 8,
    • Eclipse (current version - I use Java EE), and
    • Subclipse (Update from Eclipse > Help > Install, URL = http://subclipse.tigris.org/update_1.8.x
  • Nothing today
  • Always look at the Major Programs column, too, for the programming assignment of the week.

  • Course introduction
  • Growable Array analysis
  • Week 1:
    On your own: Skim/read review from the book and get back up-to-speed on programming by doing the WarmUpAndStretching assignment
    In class: Algorithm analysis
Warm Up and Stretching
1

2

Thu Nov 29

Details
  • Weiss §5.1, 5.2, 5.4–5.8, 7.2
  • Continue reviewing Weiss Ch. 1–6.
  • Post to "Introduce Yourself" on Piazza
  • Growable Arrays (at start of class)
  • Make progress on WarmUpAndStretching.
  • Growable Arrays discussion
  • Review of Asymptotic analysis and formal definition of Big O.
  • Big-oh’s cousins, big-Omega and big-Theta
Warm Up and Stretching
1

3

Fri Nov 30

Details
  • Continue reviewing Weiss Ch. 1–6; focus on §5.3
  • Homework 1 Submit to HW1 drop box in Moodle. This and all other HW and programming assignments are due at 11:00 PM unless we specify otherwise for a particular assignment.
  • Make progress on WarmUpAndStretching.
  • MCSS Cubic and Quadratic Algorithms
Warm Up and Stretching
2

4

Tue Dec 4

Details
  • MCSS Linear Algorithm
Stacks and Queues
2

5

Thu Dec 6

Details
  • Finish review of Weiss Ch. 1–6, focus on ch. 6
  • UML Diagram of Collections framework (from HW2)
  • Abstract data types (ADTs)
  • Review of basic data structures in the Java Collections Framework
Stacks and Queues
2

6

Fri Dec 7

Details
  • Ch. 7.3 (review of recursion)
  • Ch. 15-17 (List implementation (review); skim, but may help for assignment)
  • Trees Intro
  • Implementing a Binary Tree using recursive methods.
Stacks and Queues
3

7

Tue Dec 11

Details
  • §18.1-18.3
  • More recursive binary tree methods.
  • Binary tree traversals
Doublets
3

8

Thu Dec 13

Details
  • Study for Exam 1, take practice exam on Moodle
  • StacksAndQueues partner evaluation (on Moodle)
  • Exam 1
    Thursday 12/13
    7:00 - 9:00 PM
  Doublets
3

9

Fri Dec 14

Details
  • §18.4
  • Iterators: Simple and lazy ones
Doublets
4

10

Tue Dec 18

Details
  • §19.1
  • Binary Search Tree (BST) methods: insert, remove, contains.
Binary Search Tree
4

11

Thu Dec 20

Details
 
  • Doublets partner eval
  • Size vs. Height in a binary tree
Binary Search Tree
4

12

Fri Dec 21

Details
  • § 19.4
  • Need for trees that are height-balanced but not completely balanced
Binary Search Tree
5

13

Tue Jan 8

Details
  • § 19.4
  • AVL Trees: How to find the node where rotation is needed
  • Single and double rotations; effect on subtree height.
  • Intro EditorTree and need for rank field
  • Meet team
EditorTrees
5

14

Thu Jan 10

Details
  • Re-write any tree methods you haven't yet mastered
 
  • Student questions on EditorTree Requirements
  • Practice with AVL Tree Rotations
  • Exam 2 in class - programming only
EditorTrees
5

15

Fri Jan 11

Details
  • § 19.2
  • Discuss usage of rank field
  • EditorTrees work time with your team
EditorTrees
6

16

Tue Jan 15

Details
  • § 19.5
  • Red-black trees
EditorTrees
6

17

Thu Jan 17

Details
 
  • EditorTrees Milestone 1 partner feedback on Moodle
  • Midterm course evaluation in Moodle
  • EditorTrees workday
  EditorTrees
6

18

Fri Jan 18

Details
  • Chapter 20
  • Hash Table intro
EditorTrees
7

19

Tue Jan 22

Details
  • Review chapter 20
  • Hash Table implementation
EditorTrees
7

20

Thu Jan 24

Details
  • §21.1-21.3
 
  • Priority Queues and Binary heaps
  • Heaps work time
EditorTrees
7

21

Fri Jan 25

Details
  • §21.5
  • Heapsort
  • Heapsort work time
EditorTrees
8

22

Tue Jan 29

Details
  • § 14.1, 14.2
  • Graphs
GraphSurfing
8

23

Thu Jan 31

Details
  • Study for the exam!
  • EditorTrees team member performance evaluation survey (required; Thursday 11:00 PM)
  • Exam 3
    Thursday 1/31
    7:00 - 9:00 PM
    Section 3, O105
    Section 4, O233
    Night exam. No class Thursday to compensate.
  GraphSurfing
8

24

Fri Feb 1

Details
 
  • TBA
  GraphSurfing
9

25

Tue Feb 5

Details
  • § 7.5
  • Extended Binary Trees
  • Intro to Recurrences
GraphSurfing
9

26

Thu Feb 7

Details
  • § 7.5.2, 7.5.3
  • § 8.1 – 8.5 (skip 8.4.1)
 
  • Recurrences and Master Theorem
  • Sorting review/overview
GraphSurfing
9

27

Fri Feb 8

Details
  • § 8.6 – 8.7 (skim Average case analysis of Quicksort)
  • Quicksort
  • Quicksort average case analysis
GraphSurfing
10

28

Tue Feb 12

Details
  • § 8.8
  • Quicksort improvements
  • Lower bound for sorting algorithms.
  • Radix sort
SortingRaces
10

29

Thu Feb 14

Details
   
  • TBA
  • Worktime for sorting assignment
  SortingRaces
10

30

Fri Feb 15

Details
 
  • Course evaluations
  • Discussion of Final Exam
  • Practice problems for final exam (no solutions posted, but can ask us)
SortingRaces
11

31

Tue Feb 19

Details
 
  • Final exam review packet (not collected)
  • Final Exam
    TBA