Farah Deeba

University of North Carolina, Charlotte

Grade distributions, average GPA, and courses taught by Farah Deeba at University of North Carolina, Charlotte. Historical grade data across 8 courses on MyClassGrades.

• ECGR 4124: Digital Signal Processing 143 students, 2 terms, Average GPA 3.48 Grades: A 56.6%, B 37.1%, C 3.5%, D 0.7%, F 1.4%.
• ECGR 4105: Introduction to Machine Learning 61 students, 2 terms, Average GPA 3.32 Grades: A 57.4%, B 24.6%, C 6.6%, F 6.6%.
• ECGR 5105: Introduction to Machine Learning 28 students, 2 terms, Average GPA 3.82 Grades: A 85.7%, B 10.7%, C 3.6%.
• ECGR 5124: Digital Signal Processing 6 students, 2 terms, Average GPA 3.84 Grades: A 83.3%, B 16.7%.
• ECGR 6890: Individual Study & Projects 4 students, 2 terms, Average GPA 4.00 Grades: A 100.0%.
• ECGR 8127: Medical Signal Processing 3 students, 1 term, Average GPA 4.00 Grades: A 100.0%.
• ECGR 8890: Individual Study & Projects 2 students, 1 term, Average GPA 3.50 Grades: A 50.0%, B 50.0%.
• ECGR 6127: Medical Signal Processing 1 students, 1 term, Average GPA 2.00 Grades: C 100.0%.