Samira Shaikh

University of North Carolina, Charlotte

Grade distributions, average GPA, and courses taught by Samira Shaikh at University of North Carolina, Charlotte. Historical grade data across 18 courses on MyClassGrades.

• ITCS 5111: Intro to Natural Lang Process 165 students, 4 terms, Average GPA 3.50
• DSBA 6156: Applied Machine Learning 112 students, 4 terms, Average GPA 3.90
• ITCS 4111: Intro to Natural Lang Process 57 students, 4 terms, Average GPA 2.48
• ITCS 3153: Intro Artificial Intelligence 54 students, 1 term, Average GPA 2.97
• ITCS 6050: Topics in Intelligent Systems 36 students, 3 terms, Average GPA 3.59
• DSBA 6165: Artificial Intelligence and Deep Learning 23 students, 1 term, Average GPA 3.04
• DSBA 6010: Special Topics in DSBA: Private Machine Learning 16 students, 1 term, Average GPA 3.88
• ITCS 8050: Topics in Intelligent Systems 10 students, 3 terms, Average GPA 3.70
• ITSC 8990: Pre-dissertation Research 8 students, 1 term
• ITCS 6617: Computational Behav Modeling 7 students, 1 term, Average GPA 3.57
• PSYC 6099: Topics in Psychology: Work Stress and Worker Well-Being 7 students, 3 terms, Average GPA 3.57
• ITCS 6880: Individual Study 5 students, 3 terms, Average GPA 4.00
• PSYC 3806: Undergraduate Research Assistantship 2 students, 1 term, Average GPA 4.00
• PSYC 6617: Computationall Behav. Modeling 2 students, 1 term, Average GPA 4.00
• ITCS 4650: Senior Project 1 students, 1 term, Average GPA 4.00
• ITCS 4990: Undergraduate Research 1 students, 1 term, Average GPA 4.00
• ITCS 8010: Topics in Computer Science: AI System Design 1 students, 1 term, Average GPA 3.00
• ITSC 8880: Individual Study 1 students, 1 term, Average GPA 4.00