An individual project that includes building an RPA software solution that is explained, motivated and demonstrated in a recorded video presentation. Each individual will be asked to develop a desktop-level automation robot of a common repetitive business task. The bot is to be built using either UIPath or the Microsoft Power Apps. The RPA solution is expected to work on a single desktop, and any issues related to the transfer of the bot need to be identified and discussed. The automation solution needs to be motivated in terms of how many human work hours it can save (efficiency) and the value associated with reductions in human errors (effectiveness). Details and further guidance will be provided on Canvas.
Deliverable | Due Date | Canvas Submission Portal |
---|---|---|
RPA Individual Submission (Individual, 30%, Class 13) | May 13th, 2025 | Upload to Canvas |
Further details are provided below for each required deliverable.
Required deliverable: A short video submission explaining, motivating and demonstrating an individually developed RPA bot using either UIPath or another RPA/Automation software. The individual bot can be based on automating any business process that is repetitive and/or prone to errors. The Individual challenge can also be a major extensions to the Pure Reformed Oils / Skylar RPA Case (see hints below for definitions of major).
Required deliverable: A software deliverable of a desktop-automation level automation bot using UIPath or another automation software.
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.
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.
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.
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.
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.