The identifier likely refers to a archived submission for a project or technical report at Simon Fraser University (SFU) . While "sc23391" does not appear as a standard technical report number in the SFU School of Computing Science's public repository , it matches the naming convention used for course-specific identifiers or student submission packages on platforms like CourSys .
Include a concise summary of the problem, your methodology, and the key findings (e.g., speed increases or cognitive load reductions).
Write for a technically-literate person (like a manager or coworker) without relying on excessive jargon.
Discuss problems encountered and what you would do differently in retrospect. 3. Writing and Citations
Describe how data was gathered and cleaned. For small sample sizes, use specific activity interval algorithms to selective remove outliers.
If this is for a specific course submission, ensure your .rar file contains the final PDF report, cleaned datasets, and any source code (e.g., Python scripts) as required by the CourSys submission guidelines.
Present quantitative data first, followed by qualitative observations.
The identifier likely refers to a archived submission for a project or technical report at Simon Fraser University (SFU) . While "sc23391" does not appear as a standard technical report number in the SFU School of Computing Science's public repository , it matches the naming convention used for course-specific identifiers or student submission packages on platforms like CourSys .
Include a concise summary of the problem, your methodology, and the key findings (e.g., speed increases or cognitive load reductions).
Write for a technically-literate person (like a manager or coworker) without relying on excessive jargon.
Discuss problems encountered and what you would do differently in retrospect. 3. Writing and Citations
Describe how data was gathered and cleaned. For small sample sizes, use specific activity interval algorithms to selective remove outliers.
If this is for a specific course submission, ensure your .rar file contains the final PDF report, cleaned datasets, and any source code (e.g., Python scripts) as required by the CourSys submission guidelines.
Present quantitative data first, followed by qualitative observations.
