Abstract Data Types and Programming Methodologies
Prof. Daniel R. Schlegel, 395 Shineman Center, firstname.lastname@example.org
Office/Lab hours: M 4-5pm; W 7-8am; Th 11:30-12:30; or by appointment
Section 810: MWF 3:00-3:55pm, Shineman 444
A developing computer scientist must understand and explain how their proposed data structures and algorithmic solutions compare to other solutions in terms of complexity, run time, and resource requirements. This course introduces students to traditional techniques used to describe such solutions. In addition, we will look at classic data structures and their applications in order to expand the depth and breadth of a student’s knowledge.
This course is intended to challenge the student to design and implement software based on specifications prepared by the instructor. Throughout the semester, each student will need to identify appropriate design elements and justify their selections.
To employ object-oriented design techniques to model problems and solutions.
To employ decomposition techniques to break a program into smaller pieces
To analyze algorithmic solutions using asymptotic notation
To demonstrate effective use of abstract data types (ADTs), e.g., stacks, queues, lists, hash tables, trees, etc., in their designs
To demonstrate correct use of recursive algorithms and data structures
To articulate the advantages and disadvantages of competing algorithmic solutions
Recommended: Koffman, E.B. and Wolfgang, P.A.T., Data Structures: Abstraction and Design Using Java, 3e. Wiley, 2015.
Introduction to Computer Science Using Java
Data Structures @ Wikibooks
Data Structure Visualizations
Java Tutorials @ Oracle
Java 8 Standard Libraries @ Oracle
Java on Lynda.com
GNU Emacs Reference Card
Compiling on the Command Line Workshop Activity (by Oswego CSA)
Attendance Policy and Classroom Etiquette:
As per college policy, attendance in all sessions is obligatory. If you cannot attend a class meeting due to religious, athletic, health related circumstance, or circumstance of particular hardship, please notify me in advance via email. Please be ready to present proof, if necessary. Cell phones and headphones should not be out or used during lecture, and laptops should only be used for taking notes. If use of any electronics becomes distracting to other students I reserve the right to discontinue the allowance of their use.
All assignments will be completed alone, but working together without writing or sharing code to come up with general solutions is encouraged. The assignments are difficult, and I recommend starting work on them early, avoiding any tendency toward procrastination. You should plan on spending at least 10 hours per week on course work outside of class.
You will complete all assignments using a text editor, NOT an IDE like Netbeans, Eclipse, or Visual Studio. I will use GNU Emacs much of the time, but you are free to use Vim or a less fully-featured editor like nano or Notepad++ (but don’t expect me to know how to use it :)).
Assignments will be submitted via Blackboard and graded according to the grading criteria. Code which does not compile or immediately crashes will receive no credit. There may be in-class presentations of your work.
You will have 7 days to use throughout the semester to submit late work. A maximum of 3 days may be used on any one assignment. We will say that a span of days where the university is closed will count only as one day. Therefore if an assignment is due on a Friday, it may be submitted Saturday or Sunday using only one late day. A submission on Monday will use two, and so on. Outside of this late policy, no late assignments will be accepted.
It is expected that each person participate during each class. As discussed above, attendance is required.
Each exam question will be assigned a point value (generally some multiple of 3 depending on difficulty), where the following scheme will be used in grading it:
0 – Did not attempt / No serious attempt
1 – Mostly incorrect solution
2 – Somewhat incorrect solution
3 – Perfect solution
If the problem is a multiple of 3, then intermediate scores will be given as appropriate. The total points received on all questions will then be summed and divided by the points possible and scaled as appropriate according to the percentages given below.
You may not receive a grade more than one letter grade above min(exams, assignments). That is, if your exam average is D, the best grade you can achieve in the course is a C. Likewise if you receive an E average on your assignments, the highest grade you can expect is a D.
The default grading for the course will be along the university’s standard grading curve:
|A: 93-100||C+: 77-79|
|A-: 90-92||C: 73-76|
|B+: 87-89||C-: 70-72|
|B: 83-86||D+: 67-69|
|B-: 80-82||D: 60-66|
A more generous curve may be used, but should not be expected.
During the semester we aim to cover the following topics:
Basic Search Algorithms
Lambdas and Streams in Java
This syllabus and the course schedule are subject to change by the instructor. All changes and related justifications will be announced in class, and updates will be reflected in this web version.
Lecture slides will be maintained on Blackboard, but many lectures will include use of the whiteboard which may not be reflected in notes elsewhere.
|1||Monday||8/27||First day of class
Download and import the development environment VM!
Readings: Review Introduction to Computer Science Using Java parts 1-6,8-9
Be sure to answer office hours survey!
On your own: Development Environment Configuration
Reading: Read tutorials as necessary from the above configuration document (e.g., linux, emacs, ...)
|Friday||8/31||Java Review - Anatomy of a Program
Readings: From this page, read Getting Started with Swing, and begin reading the first few sections in Using Swing Components
|2||Monday||9/3||No Class - Labor Day|
|Wednesday||9/5||Introduction to Swing
Class code: SwingHello
Readings: Introduction to Computer Science Using Java - Chapter 50 - Inheritance
Continue reading Swing tutorials
|Friday||9/7||Drawing with Swing
Class Code: SwingPaintDemo
Assignment 1 due on Blackboard 9/23, 11:59pm
|3||Monday||9/10||No Class - Rosh Hashanah|
|Wednesday||9/12||Inner Classes, Anonymous Inner Classes, Lambdas Intro|
Class code: Person
Reading: A Guide to Streams in Java 8; First 3 sections of SAX tutorial
|Wednesday||9/19||No Class - Yom Kippur|
|Friday||9/21||Two final stream examples
XML and XML Parsing using the SAX parser
|5||Monday||9/24||SAX Parsing, continued
Class code: XML Parsing
Assignment 2 due on Blackboard 10/9, 11:59pm
|Wednesday||9/26||Asymptotic Analysis Introduction
|6||Monday||10/1||Dynamic Arrays, continued
Class code: DynamicArray
Java 8 ArrayList Source
|Friday||10/5||Linked Lists Introduction|
|7||Monday||10/8||Linked lists, continued
Primitive and reference types review
OO Concept review: Encapsulation
|Wednesday||10/10||Linked lists, continued|
|Friday||10/12||No Class - Dan sick|
|8||Monday||10/15||Linked lists, concluded
Class Code: LinkedList
Reading: Java Generics Tutorial
Assignment 3 due on Blackboard
|Wednesday||10/17||Linked List Variations;
|Friday||10/19||No Class - Fall Break
Mid Term Grades Posted
|9||Monday||10/22||Stacks and Queues
Class Code: LinkedStack and LinkedQueue
|Friday||10/26||Iterator and Iterable
Class Code: LinkedListIterable
|10||Monday||10/29||O(n^2) Sorting Algorithms: Selection Sort
Sorting Algorithm Visualizer
|Wednesday||10/31||The Comparable interface
Assignment 4 due on Blackboard 11/18, 11:59pm
|11||Monday||11/5||Complete Day 1 of the Doubly Linked List Exercise
Dan at AMIA Annual Symposium
|Wednesday||11/7||Complete Day 2 of the Doubly Linked List Exercise
Dan at AMIA Annual Symposium
|Friday||11/9||Complete Day 3 of the Doubly Linked List Exercise
Dan at AMIA Annual Symposium
n^2 Sorting Benchmarks
Binary Search Trees
|Friday||11/16||BST Search / Insert
|13||Monday||11/19||BST Insert (concluded), Traversal
Class code: BST
Assignment 5 due on Blackboard 12/9, 11:59pm
|Wednesday||11/21||No Class - Thanksgiving Break|
|Friday||11/23||No Class - Thanksgiving Break|
|Wednesday||11/28||Divide and Conquer Principle
|Friday||11/30||Merge Sort, continued|
|15||Monday||12/3||Asymptotic Analysis of Merge Sort
Quick Sort Intro
Final Exam Study Guide
|Friday||12/7||A few final topics...
Class Code - O(nlogn) sorting algorithms and benchmarks
Last Day of Class
|Finals Week||Wednesday||12/12||Final Exam 2-4PM|
While it is acceptable to discuss general approaches with your fellow students, the work you turn in must be your own. You may not turn in code found on the internet. If you have any problems doing the assignments, consult the instructor. Please be sure to read the webpage, “Academic Integrity“, which spells out all the details of this, and related policies. See my page on plagiarism for an explanation of what I consider cheating.
If you have a disabling condition, which may interfere with your ability to successfully complete this course, please contact the Office of Disability Services at email@example.com and x3358.