Assessments
This course operates on a research software engineering model. You are not graded on whether your hypothesis was correct. You are graded on the quality of your process, the reproducibility of your tools, and your professional contribution to the team.
Composition
This course has a total of 100 points that can be earned.
| Component | Points | Basis | Description |
|---|---|---|---|
| Certifications | 15 | Individual | Skill checks to prove technical readiness. |
| Tickets | 5 | Individual | Weekly async assignments. |
| Charter | 10 | Team | Form teams and start collaborative work in your GitHub repo. |
| Prototype | 25 | Team | Build the pipeline and run it on a small dataset. |
| Deliverable | 25 | Team | Run the full pipeline on the real dataset and analyze the findings. |
| Code Review | 10 | Both | Final code review demonstrating project understanding. |
| Professionalism | 10 | Individual | Peer evaluations, attendance, and contributions. |
Grading Scale
Letter grades for this course will be assigned based on Pitt’s recommended policy.
| Letter | Percentage | GPA | Attainment |
|---|---|---|---|
| A+ | 97.0 - 100.0% | 4.00 | |
| A | 93.0 - 96.9% | 4.00 | Superior |
| A- | 90.0 - 92.9% | 3.75 | |
| B+ | 87.0 - 89.9% | 3.25 | |
| B | 83.0 - 86.9% | 3.00 | Meritorious |
| B- | 80.0 - 82.9% | 2.75 | |
| C+ | 77.0 - 79.9% | 2.25 | |
| C | 73.0 - 76.9% | 2.00 | Adequate |
| C- | 70.0 - 72.9% | 1.75 | |
| D+ | 67.0 - 69.9% | 1.25 | |
| D | 63.0 - 66.9% | 1.00 | Minimal |
| D- | 60.0 - 62.9% | 0.75 | |
| F | 0.0 - 59.9% | 0.00 | Failure |
Errors in Grading
We strive for precision, but errors can occur. If you identify a discrepancy in a grade, you have a one-week window from the time it is posted to flag it for review.
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