Policies

Grading #

The grading scale expected to be used is

The instructor reserves the right to provide a relative or absolute curve to any assignment’s grade.

Late Assignments #

Each assignment will have a specified date and time when deliverables are due. If deliverables are turned in late, this may result in a penalty applied to the overall assignment grade. Expect to lose up to 5% per day.

Course Participation and Absences #

Students seeking excused absences must notify the teaching team ahead of time about any planned missed classes. Unexcused absences may result in a lower course grade.

In accord with LSU Policy Statement 22, students with excused absences will be provided with a satisfactory alternative to missed classwork.

A final exam time is reserved for this class on Wednesday, December 10, 7:30-9:30 am. It will be used for final project demos. All students are required to attend for the entire duration.

Communication #

The course Moodle page will be used as an essential channel of communication for updates about the curriculum, including assignments, as well as for students to share questions, solutions, and ideas. Written deliverables for assignments will be turned in via Moodle.

Students may schedule meetings with the instructor outside class times by appointment or attending office hours.

The CSC 4243 channel on csc@LSU Discord provides another communication channel for discussing course topics and assignments.

Academic Misconduct #

Academic misconduct is a serious offense. Academic misconduct will be handled in accordance with LSU Code of Student Conduct, Code 10.1:

High standards of academic integrity are crucial for the University to fulfill its educational mission. To uphold these standards, procedures have been established to address violations of Academic Integrity. A Student is responsible for submitting work for evaluation that reflects the Student’s performance. If a Student has a question regarding the Instructor’s expectations for assignments, projects, tests, or other items submitted for a grade, it is the Student’s responsibility to seek clarification from the Instructor.

In accordance with the LSU Faculty Handbook, an Instructor may not assign a disciplinary grade, such as an “F” or zero (0) on an assignment, test examination, or course as a sanction for admitted or suspected violation of Academic Integrity in lieu of referring the Student to SAA under the provisions of this Code. Any grade assigned because of a violation of Academic Integrity must be in accordance with this Code.

A Student found Responsible for a violation of Academic Integrity may NOT drop the course in which the violation occurred. Any Student who drops the course without written permission from SAA will be re-enrolled in the class and then given the appropriate grade as provided in the Outcome. A Student may be charged with a violation of Academic Integrity for the following acts or omissions:

A Student may be charged with Academic Misconduct for the following acts or omissions:

• Collaboration. Unauthorized communication or interaction between two or more individuals on any academic work by giving, receiving, or otherwise sharing information without permission of the Instructor.
• Copying. Copying from another Student’s academic work; assisting with copying by making answers or other completed assignments available, in whole or part, to another Student, whether or not the recipient’s intentions to copy were known to the Student prior to the sharing.
• Failure to Follow Course Requirements. Failure to adhere to standards of conduct for academic integrity that are promulgated by an academic unit or Instructor.
• False information. Falsifying or fabricating any information, data, or citation in any academic work including but not limited to documents intended to support medical excuses or absence from class or academic work.
• Misrepresentation. Misleading an Instructor as to the condition under which the work was prepared including, but not limited to, undisclosed Artificial Intelligence (AI) use, substituting for another Student, or permitting another person to substitute for oneself on any academic work.
• Other Academic Misconduct. Attempting to commit, or assisting someone in the commission or attempted commission of an offense defined in this section, or any other act that may create an unfair academic advantage.
• Plagiarism. Lack of appropriate citation, or the unacknowledged inclusion of someone else’s words, structure, ideas, or data; failure to identify a source, or the submission of essentially the same work for two assignments without permission of the Instructor.
• Unauthorized Materials. Using any material, technique, application, artificial intelligence (AI), or device on an academic assignment that is prohibited; having any forbidden or unauthorized material, technique, application, artificial intelligence (AI), or device available on any academic work will be considered a violation.

Students with Disabilities #

The Americans with Disabilities Act (ADA) is a federal anti-discrimination statute that provides comprehensive civil rights protection for persons with disabilities. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodation of their disabilities.

If you believe you have a disability that would benefit from support, you will need to register with Disability Services, currently located in 124 Johnston Hall or call 225-578-5919. Access resources at: https://www.lsu.edu/disability/

AI Use #

Students may use AI tools in the following limited and responsible ways:

• Refining Writing in Reports
  • Students must write the full content of their reports themselves.
  • AI may be used afterward to improve clarity, grammar, or style.
  • Students are responsible for verifying all AI-refined text. Errors introduced by AI will not excuse point deductions.
• Supporting Software Development
  • AI may be used to generate specific assets that contribute to project development. Examples include:
    • Datasets
    • Backend code snippets
    • Visual elements (e.g., button icons)
  • Students may not use AI to generate an entire interface.
  • AI should never be used to evaluate an interface or fabricate data (e.g., participant quotes).