ACCTG 521 Assessment

Final Project Check-In Meeting: Audit Plan Appendix

Team Deliverable (5%)

Assessment Overview

Teams will meet one-on-one with the instructor.

Required Deliverables

Deliverable Due Date Canvas Submission Portal
Project Update Memo 11/26 Upload to Canvas (one submission per team)

Deliverable Details and Hints

Further details are provided below for each required deliverable.

Required deliverable: A 10 minute meeting with the instructor

  • The goal of the meeting is to obtain feedback from the instructor on the proposed use(s) of data to enhance a financial statement analysis, and clarification on any other questions the teams have at this preliminary stage.
  • As long as the proposal continues to meet the minimum expectations for the MPAcc Joint Final Project, all teams will receive 75% for their proposal, with a possible additional 0-25% obtainable by the time the final project is submitted.

  • Include an updated milestone diagram as an Appendix as an effective way to demonstrate progress, and consider adding elements to discuss any problem areas/difficulties encountered.
  • If you have encountered difficulties that you have been able to overcome, highlight these in this meeting and memo. If you have gotten stuck on a specific task, feel free to request assistance.
  • For equity, any assistance requests that I can fulfill, I will post a video walkthrough of the solution that can be accessed by all teams. I will use the Canvas Announcements Tool to announce when and where this content becomes available.

Generative AI Policy

This policy outlines expectations for the responsible and ethical use of generative AI technologies, including large language models (LLMs) such as ChatGPT, in this course. These tools can significantly enhance learning, productivity, and creativity–but must be used transparently and professionally to support a respectful and effective learning environment.

Permitted Use:

Generative AI may be used to assist with idea generation, research, document drafting, programming, editing, and other academic work, provided the output is critically reviewed, refined, and understood by the student or team. Use of AI is encouraged when it enhances the learning process.

Student Responsibility:

Students are responsible for the accuracy, relevance, and integrity of any work submitted, including content influenced or generated by AI tools. Errors introduced by generative AI–factual, analytical, or interpretive–will be treated as student errors and may result in reduced grades.

Disclosure & Ethics:

Students may be asked to disclose when and how they used generative AI tools in individual or team assignments. In cases where the use of AI significantly contributes to the submission (e.g., coding assistance, text drafting), students should include a brief statement describing the use.

Unacceptable Use:

Submitting AI–generated content without understanding it, using AI to bypass individual learning (e.g., for comprehension–based quizzes or in–class polls), or allowing AI to make up sources or misrepresent work is a violation of course expectations and academic integrity.

This policy may be updated as the role of AI in education continues to evolve.