Grading Scale

CISC 3220– Introduction to Machine Learning (Brooklyn College)

Final course grades are based on your overall percentage across all graded components listed in Assignments & Grading. Letter grades follow the standard undergraduate grading scale below.

Note: Final grades are determined by the instructor based on the total course percentage. Borderline cases may be reviewed for consistency and fairness.

Letter Grade to Percentage Scale

Letter GradePercentage Range
A93–100
A−90–92
B+87–89
B83–86
B−80–82
C+77–79
C73–76
C−70–72
D+67–69
D60–66
F0–59

How Your Final Percentage Is Calculated

Your final percentage comes from:

  • Programming Assignments (4)—30%
  • Lab Work (6)—20%
  • Midterm Exam—20%
  • Final Project & Presentation—25%
  • Participation & Engagement—5%

See Assignments & Grading for rubrics and detailed expectations.

Additional Notes

Rounding

  • Final course averages are typically rounded to the nearest whole number at the end of the semester (e.g., 89.5 → 90).
  • The instructor may also consider consistent improvement over the semester.

Missing Work

  • Missing major components (e.g., final project) will significantly reduce the final grade.
  • Late penalties are described in Assignments & Grading.

Feedback and Transparency

Students will receive feedback throughout the semester so they can track progress and understand how grades are earned.

Questions

If you have questions about grading, please email the instructor and include:

  • the assignment name
  • Your current score
  • Your specific question

Grading Scale: