We will learn how to put together classes, references, and arrays (and few new tools) into bigger, better structures. These data structures will allow us to quickly search and store data. What fun is data unless you can play with it? We will learn new algorithms for exploring and changing these structures, and new time complexity anlaysis techniques that allow us to predict how fast we can run a program.
Catalog Description
This course covers the organization of data and the algorithms that act upon them. The topics of arrays, linked lists, stacks, queues, trees, sets and hash tables are introduced. Fundamentals of algorithm performance are also introduced, with an emphasis placed on time complexity analysis. Laboratory activities include implementation of data structures as well as the application of data structures from standard libraries. (prereq: SE 1021) (3-2-4 (hover for explanation)) (full catalog)
(From the catalog)
Basics
- Instructor
- Josiah Yoder
- lıɐɯə
- npǝ˙ǝosɯ@ɹəpoʎ
- Office
- L341 (Library, 3rd floor)
- Office Hours
- See below
- Phone
- ƖƐ96 ᔭᔭᔭ ϛ9ㄥ Google Voice; rings my office and computer at the same time.
- Text
- Data Structures, 3rd Ed., by Koffman and Wolfgang, Wiley. Free 14-day trial
- SE10X1
- Introduction to Programming with Java: A Problem Solving Approach, 2nd Ed., by Dean and Dean, McGraw-Hill, 2014, ISBN: 978-0-07-337606-6
Outcomes
On successful completion of this course, the student will be able to:
- Understand and apply complex data structures and algorithms
- Use appropriate algorithms (and associated data structures) to solve problems
- Have a thorough understanding of commonly used library data structures
- Analyze the time complexity of algorithms
- Understand the use of recursion in problem solving
- Use data structures in software design and implementation
- Apply standard library data structures in software design
- Select appropriate data structures for a given application
These are the official course outcomes from the catalog
My Schedule (Office Hours)
| Time | Mon | Tue | Wed | Thu | Fri |
|---|---|---|---|---|---|
| 8:00 | Office Hour |
||||
| 9:00 | |||||
| 10:00 | Lunch | SE2030 CC62 |
SE2030 CC62 |
SE2030 S343 |
|
| 11:00 | Office Hour |
Lunch | Lunch | Lunch | |
| 12:00 | Mis. & Vis. | CS2852 Planning |
CS2852 Direct Supply On campus back-up: S210 |
Lunch | |
| 1:00 | Dept Mtg | CS2852 L311 |
CS2852 L311 |
CS2852 L311 |
|
| 2:00 | Office Hour |
Office Hour |
Office Hour |
||
| 3:00 | SE2030 S343 |
UR | |||
| 4:00 | SE2030 S206 |
SE2030 S206 |
Class
While I don't mind if you have to skip a class, class attendence is essential so you can learn what material I expect you to know, what HW and quizzes there will be, etc.
In class, I expect you to focus completely on class material. Instead of checking your email or browsing facebook, participate in the class activities and take notes of what you are learning.
If it becomes necessary to consider dropping the class, I am happy to give you advice, but I want you to make the final decision (with the help of your academic advisor). So if you stop coming class, I will not drop you, but instead give you whatever grade you have at the end of the quarter, even if it is an F.
Homework
This quarter, homework is not graded. However, you may wish to work the homework problems as practice. You may also want to do some of Dr. Taylor's practice problems.
Labs
This quarter, we are learning the foundations of programming. To ensure that you master this material, labs are individual.
I expect you to attend lab each week. This is a key time for learning together. Please contact me in advance if you expect you may need to be absent.
Labs may be turned in electronically or on paper. See the lab checklist for when the lab is due and how it should be submitted. In every uploaded file, include your name, date, and the assignment name.
This quarter, labs which do not follow the coding standard at all will receice 50% off. Labs that follow the coding standard reasonably well will be graded similarly to previous quarters.
Untested code is buggy. I find that if your code doesn't compile or hardly runs, that there are many other errors in it. To get more than half credit for a lab, it should compile and run when I test it (or you demo it). If it does not compile & run, please fix the lab and submit it later, or drop a feature or two to get it running again (often the best option).
For every day that goes by beyond the original deadline, it gets much harder to catch up on a lab. As a result, after the deadline, you can receive partial credit for a lab, up to 10% off per day.
All assignments must be turned in by 4:30pm on Friday of Week 10 so that we can wrap things up and I can turn the grades in on time.
Please start early and ask me for help if you get stuck.
Learning Assessment
This quarter, we will use the following to measure your learning:
| Lab projects | 30% |
| Quiz and Half Exams | 40% |
| Final Exam | 30% |
| Total | 100% |
I sometimes make mistakes in tallying points. If you become aware of an error in grading, please send me an email, and I will fix it and reply by email.
If the error goes beyond tallying points, discussing things in person is a great way to start to resolve an issue. I may ask you to send me an email if I think the case you are asking about requires careful consideration.
Please maintain your own records of your grades and check them against whatever summaries I send to you.
Quizzes & Exams
Quizzes will be announced in class at least one day in advance. They will usually be on Lab day.
Because of the difficulty of preparing fair and accurate tests, you cannot retake a quiz or exam if you miss it or do worse than you hoped. I will drop your lowest quiz score, so one 0 should not be a problem. If you need to skip an exam or half-exam, you should schedule a make-up exam before the missed exam. I don't always give make-up exams, even if students ask in advance.
You must have a passing grade on the exams to pass the class.
Grade Scale
I use the official MSOE grading scale:
| ≥93% | ≥89% | ≥85% | ≥81% | ≥77% | ≥74% | ≥70% | <70% |
| A | AB | B | BC | C | CD | D | F |
In final grading, I may award a grade higher than the grade scale if I feel it is more accurate than what the "raw numbers" produce.
Integrity
Your integrity is your most valuable academic possession, significantly more valuable than passing a class or getting a high GPA.
Academic integrity is essentially truthfulness — ensuring that if it appears you have done or know something, you have.
It is possible to accidentally give the impression that work is yours. If something like this happens to you, please let me know as early as possible. It is better if you point it out than if I find it.
Be on the watch for violations of academic integrity, including:
- Receiving code from another student not on your team, even by looking at it.
- Giving code to another student not on your team, even by showing them.
- Looking at another student's work during a quiz or exam.
Read MSOE's Policy on Student Integrity for more details.
When coding, you are encouraged to discuss strategies, but the implementations should be independent. Even discussing the details is not a good idea if it goes too far. If you want to show code, start up an independent program rather than showing an assignment — and use a different application than the assignment at hand to demonstrate the concept you wish to share.
Because of the importance of maintaining academic integrity, I will report apparent academic dishonesty to the Vice President of Academic Affairs. If this occurs, you will get a copy of the report.
Free Student Support Services
MSOE provides free services to all students that can help you to perform at your best and make your life much easier.
For free advice on note taking, exam study, time management, sleep strategies, or help navigating a difficult personal situation, head on over to the Wellness center at K250 to connect with your student support advisor (go through the basketball courts on the 2nd floor of the Kern Center). For more information on the Wellness Center, you can visit their website at msoe.edu/wellness, contact them at wellness@msoe.edu, or call 414-277-7590.
For free one-on-one tutoring, study sessions, group tutoring, writing assistance, and Study Spaces, head to RCAS on the 2nd floor of the Library Building (at the back of same floor where you enter the Library Proper). For more information on RCAS Tutoring you can visit their website at msoe.edu/tutoring-services, contact them at rcastutoring@msoe.edu or call 414-277-7274. You can also schedule tutoring at rcastutoring.com.
If you're not sure where to start, ask me (your instructor) or head to Wellness in K250.
Student Accessibility Services (SAS) / Mental Health
For students with documented disabilities, chronic medication conditions and mental health concerns, MSOE provides services to make reasonable accommodations and resources available. If you are a student who requires or anticipates the need for accommodations, please contact the Wellness Center Office at 414-277-7590, by email at wellness@msoe.edu, or in person at K230 to discuss appropriate accommodations, eligibility requirement or setting up a counseling session.
Fine Print
1In rare cases, I may need to reschedule an office hour. I will, if at all possible, announce this in class a day or more in advance.