ACCTG 528 Assessment

Common Final Project

Team Deliverable (15%)

Assessment Overview

A team project that synthesizes material from three MPAcc Spring Quarter Classes. Teams will write a report and present findings relating to the use of technology to solve an ESG-related problem. A software deliverable is not required for this project but can be heavily related to the team's solution to the Intelligent Automation Team Challenge if appropriate, or can be discussed at a purely hypothetical level. Details and further guidance is available at the Common Spring Project page.

Required Deliverables

Deliverable Due Date Canvas Submission Portal
Common Final Project (Team, 15%, Due End of Quarter, presented classes 19 and 20) June 2nd, 2025 Upload to Canvas (one submission per team)

Deliverable Details and Hints

Further details are provided below for each required deliverable.

Required deliverable: A comprehensive report, not exceeding 25 pages including appendices, analyzing a critical ESG disclosure factor for a selected company.

  • Motivate why the selected ESG factor is important to the company's stakeholders, including both shareholders and non-financial stakeholders.
  • Identify key reporting and auditing risks related to the chosen ESG factor.
  • Provide data visualizations to support key arguments and conclusions.

  • Begin with an overview of the ESG factor's impact on the sector or industry to provide context.
  • Utilize credible sources and frameworks to substantiate your analysis.
  • Ensure data visualizations are clear, relevant, and effectively integrated into the narrative.

Required deliverable: A set of presentation materials summarizing the main findings of your report, to be used during the team presentation.

  • Create slides that highlight key points from your report, focusing on clarity and conciseness.
  • Include visuals or charts that effectively convey complex information.
  • Prepare for a 22-minute presentation, ensuring content is appropriately scaled.

  • Practice delivering your presentation to manage timing and flow.
  • Anticipate potential questions and prepare responses.
  • Maintain a professional design and layout for your slides.

Required deliverable: A 22-minute team presentation delivered to MPAcc faculty and a panel of accounting professionals.

  • Clearly and efficiently summarize the main findings of your report.
  • Engage with the audience, demonstrating a deep understanding of the topic.
  • Adhere to the allotted time, ensuring all key points are covered.

  • Coordinate among team members to assign speaking roles and transitions.
  • Dress in professional attire to convey credibility and respect.
  • Be prepared to discuss how your findings relate to broader industry trends or implications.

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.