This is a first programming course for Computer Science majors with a focus on object-oriented programming. The goal of the course is to develop skills such as program design and testing as well as the implementation of programs using a graphical IDE. All programming will be done in Java and Processing. Processing will be used as a visual tool to teach basic language features and we will switch to Java later this semester.
The course Piazza page and ELMS are the sources for course information. Additional resources and essential course information will appear on Piazza, and all course-related questions will also be answered on Piazza to ensure all students have equal access to the information. Here is the sign-up link. You can find the access code in the Canvas announcement.
Corequisite: MATH140
Credits: 4
Visit this link for details.
This is a very demanding course. You will need to complete up to 7 projects and up to 8 graded lab exercises. The dues for the projects and the exercises are 11:00 PM on the day they are due. They are to be submitted electronically according to instructions given with the assignments. Late submissions will be strictly penalized. Exceptional circumstances will be considered only if discussed with the instructor at least 48 hours before the assignment due. Late submissions will have points deducted as follows:
You can submit your work multiple times to the submit server. For the projects that uses Processing, the last submission will be graded. For the projects that uses Java/Eclipse, the best scoring submission will be graded. Do not wait until the assignment due. We strongly encourage you to submit multiple times before the due date/time.
Project descriptions and starter files will be posted in ELMS. You will learn in a lab how to use the starter files and how to submit projects.
Your work for every project must satisfy a minimum set of requirements called Good Faith Attempt (GFA) requirements. Each project will define its own GFA criteria and deadline. In case that your last ontime/late submission for a project does not meet the GFA requirements for the project, you must submit an updated version of your work (called GFA version) that satisfies the requirements by the GFA due. If you fail to submit a GFA version, you will not pass the course (automatic grade of F) regardless of your grades on other evaluation components (e.g., other projects or exams).
If you start a project on time, and look for assistance (if required) you should have no problems satisfying the Good Faith Attempt. The Good Faith Attempt guarantees you have the skills necessary for upper-level courses. Note that you will NOT receive any extra points for completing the GFA. The grade you obtain in the project will be based on your ontime/late submission.
Your grades will be computed according the following weights:
Evaluation Components | Points |
Clicker | 2% |
Projects | 26% |
Graded Lab exercises | 12% |
Quizzes (up to 5) | 10% |
Mid-Term Exam 1 (February 23 (Wednesday)) | 10% |
Mid-Term Exam 2 (March 30 (Wednesday)) | 10% |
Mid-Term Exam 3 (April 29 (Friday)) | 10% |
Final Exam (May 13 (Friday), 4:00pm - 6:00pm) | 20% |
Max. Points Possible | 100% |
Note that academic dishonesty includes not only cheating, fabrication,
and plagiarism, but also includes helping other students commit acts of
academic dishonesty by allowing them to obtain copies of your work. In
short, all submitted work must be your own. Cases of academic dishonesty
will be pursued to the fullest extent possible as stipulated by the
Office of Student
Conduct.
It is very important for you to be aware of the consequences of cheating, fabrication, facilitation, and plagiarism. If the student is found to be responsible of academic dishonesty, the typical sanction results in a special grade "XF", indicating that the course was failed due to academic dishonesty. If you have any doubt as to whether an act of yours might constitute academic dishonesty, please contact your TA or the course coordinator.
The CS Department takes academic integrity seriously. Information on how the CS Department views and handle academic integrity matters can be found at Academic Integrity.
On any graded project or lab, you are NOT allowed to collaborate or exchange code. We compare each student's code with every other student's code to check for similarities. Every semester, we catch an embarrassingly high number of students that engage in cheating and we have to take them to the Honor Council.
We encourage students to talk about course material and help each other out in group chats. However, this does NOT include graded assignments. Talking about release tests is NOT okay.
There have been a couple instances in the past where students have posted pictures/source files of their code, or earlier sections have given away exam questions to later sections. Not only did this lower the curve for the earlier section because the later one will do better, the WHOLE group chat had to pay a visit to the Honor Council. It was an extremely ugly business.
You may post your project code to private Github (or similar service) repository, only after the semester ends. The Honor Council can retroactively give an XF (even to students who have already graduated) if your code is then used by another student to cheat. So just be careful. Posting graded code to a public repo will give you a free ticket to the Honor Council.
Creating collaborative study guides on Google docs is OK. Encouraged, even. Just do this before the exam, and don't bring the study guide to the exam. Don't add exam questions to the study guide after the early section's midterm.
Totally cool. Highly encouraged to co-create and share (with the same caveats as study guides).
The following are a few examples of academic integrity violations:
Additional information can be found in the sections titled "Academic Integrity" and "Code of Student Conduct" available at Course Related Policies.
For more information on the Code of Academic Integrity or the Office of Student Conduct, visit https://studentconduct.umd.edu.
In case academic accommodations are needed, you must provide a letter of accommodation from the Office of Accessibility and Disability Services (ADS) within the first two weeks of the semester. For details, see the section titled "Accessibility" available at Course Related Policies.
If you need to be excused for an absence from a single lecture, or recitation (lab) due to a medical reason, you shall make a reasonable attempt to inform the instructor of your illness prior to the class. Upon returning to the class, you will present with a self-signed note attesting to the date of your illness. Each note must contain an acknowledgment by the student that the information provided is true and correct. Providing false information to University officials is prohibited under Part 9(i) of the Code of Student Conduct (V-1.00(B) University of Maryland Code of Student Conduct) and may result in disciplinary action.
Missing a quiz or an exam for reasons such as illness, religious observance, participation in required university activities, or family or personal emergency (such as a serious automobile accident or close relative's funeral) will be excused so long as the absence is requested in writing in advance and the student includes documentation that shows the absence qualifies as excused;
A self-signed note is not sufficient for exams because they are Major Scheduled Grading Events. In the case of medical absence, you must furnish documentation from the health care professional who treated you. The documentation must clearly include verification of (1) treatment dates and (2) the time period for which the student is unable to meet academic responsibilities. In addition, it must contain the name and phone number of the medical service provider to be used if verification is needed. No diagnostic information will ever be requested. Note that simply being seen by a health care professional does not constitute an excused absence; it must be clear that you were unable to perform your academic duties.
For additional details, see the section titled "Attendance and Missed Assignments" available at Course Related Policies
The department and faculty take student feedback seriously. At the end of the course visit https://www.courseevalum.umd.edu/ to complete your course evaluations.
All course materials are copyright UMCP, Department of Computer Science © 2022. All rights reserved. Students are permitted to use course materials for their own personal use only. Course materials must not be distributed publicly or provided to others (excepting other students in the course), in any way or format.
Although every effort has been made to be complete and accurate, unforeseen circumstances arising during the semester could require the adjustment of any material given here. Consequently, given due notice to students, the instructor reserves the right to change any information on this syllabus or in other course materials.