Syllabus

Assignments for this course will include hands-on programming exercises (labs) meant to be done in class as well as quizzes and homework assigned in Canvas and meant to be done independently.

• Lab assignments will count 20% of your final grade. The lowest lab grade will be dropped.
• Quizzes will count 8% of your final grade. The lowest quiz grade will be dropped.
• Homework assignment scores will be applied to your final project grade.

Late labs and quiz submissions will be accepted for a 20% late penalty until the day prior to the next exam date. Late homework assignments will only be accepted for 48 hours past the due date and the 20% late penalty will apply. Assignments due after the second test may be submitted late until the last day of classes, 12/3.

Tests: There will be two in-class tests and a final exam which will each count 18% of your grade. The date of the tests will be given in class. The date of the final is determined by the University and cannot be changed. This exam will be on Thursday, 12/11 at 2:30pm. Please make every effort to attend class on the test dates. Make-up tests can only be given in extreme situations beyond the student's control and with verifiable documentation.

There will also be a final project which is due on the date of our last class (12/2) and which will count 18% of your final grade.

Incomplete grades are given rarely and only in very specific situations. First, the student must be passing. Next, the student must be able to complete the work of the course entirely on his or her own. Finally, the student must be prevented from completing the course by verified, unforeseen circumstances beyond the control of the student. These conditions must be documented and verified before an incomplete grade may be given.

All members of UNCW’s community are expected to follow the academic Honor Code. Please read the UNCW Honor Code carefully (as covered in the UNCW Student Handbook and available here: http://www.uncw.edu/odos/honorcode/). Academic dishonesty in any form will not be tolerated in this class.

Please be especially familiar with UNCW’s position on plagiarism as outlined in the UNCW Student Handbook. Plagiarism is a form of academic dishonesty in which you take someone else’s ideas and represent them as your own. Here are some examples of plagiarism:

1. You write about someone else’s work in your paper and do not give them credit for it by referencing them.
2. You give a presentation and use someone else’s ideas and do not state that the ideas are the other person’s.
3. You get facts from your textbook or some other reference material and do not reference that material.

The University’s policy on the responsible use of electronic resources also applies to all work for this course. See http://uncw.edu/policies/documents/07.100_Resp_Use_of_Elec_Resources0807.pdf.

Any dissemination of class notes, lecture slides, recordings, handouts, copies of exams, or any other course materials without permission of the instructor is prohibited by UNCW policy. UNCW Copyright Use and Ownership Policy specifies that class notes and related materials are considered derivative of original intellectual property of the course instructor. Therefore, the instructor (not the student) owns the copyright and must provide specific permission to distribute and/or reuse those materials for anything other than personal use and scholarship by the student. Commercial use, display, or dissemination of such notes, copies, or recordings—as well as posting to websites--will generally constitute an infringement of copyright and the Honor Code. Materials that qualify as student-owned are listed in the policy.

While AI tools can enhance learning and productivity, it is essential to use them responsibly and ethically. The following guidelines outline the acceptable use of AI in this course:

1. Usage Guidelines: AI tools may be used for brainstorming, coding assistance, and enhancing understanding of course material. However, they should not be used to complete assignments or projects in their entirety. Students are expected to demonstrate their own understanding and skills and adhere to the methods discussed in class.
2. Transparency: Students are expected to disclose when they have used AI tools in their work. This includes explaining how these tools were used, what the prompt was, and how they contributed to the final product.
3. Academic Integrity: Students must properly cite any AI-generated work. Submitting AI-generated work as one's own without acknowledgment constitutes academic dishonesty and will result in disciplinary action and a grade of 0. Additionally, submitting work that is more than 20% AI-generated will receive a grade of 0. The citation of the use of AI should include an appropriate comment in the code indicating the following:
   1. Which AI tool was used
   2. What the prompt was
   3. Which lines of code were AI generated
4. Learning Goals: The use of AI should align with the learning objectives of the course. AI should be used to enhance learning rather than replace the student's own efforts. The goal is to develop a deep understanding of web development concepts and practices.
5. Examples and Support: Examples of acceptable AI use will be provided, and support will be available for students who are unsure about how to integrate AI into their work responsibly. Students are encouraged to seek guidance if they have any questions about the appropriate use of AI.