Hamed Tabkhivayghan

University of North Carolina, Charlotte

Grade distributions, average GPA, and courses taught by Hamed Tabkhivayghan at University of North Carolina, Charlotte. Historical grade data across 15 courses on MyClassGrades.

• ECGR 4105: Introduction to Machine Learning 168 students, 4 terms, Average GPA 3.17
• ECGR 5181: Computer Architecture 135 students, 4 terms, Average GPA 3.77
• ECGR 4181: Computer Architecture 91 students, 4 terms, Average GPA 3.10
• ECGR 4106: Real-time Machine Learning 87 students, 4 terms, Average GPA 3.52
• ECGR 5106: Real-time Machine Learning 65 students, 4 terms, Average GPA 3.84
• ECGR 6090: Special Topics: Interconnection Networks for Modern Multicore Systems and Accelerators 56 students, 3 terms, Average GPA 3.66
• ECGR 3183: Computer Organization 50 students, 1 term, Average GPA 2.85
• ECGR 5105: Introduction to Machine Learning 44 students, 3 terms, Average GPA 3.64
• ECGR 4090: Special Topics: MEMS - Micromachined Devices, Sensors & Actuators 35 students, 2 terms, Average GPA 3.93
• ECGR 8890: Individual Study & Projects 27 students, 12 terms, Average GPA 3.96
• ECGR 6890: Individual Study & Projects 20 students, 13 terms, Average GPA 4.00
• ECGR 4251: Computer Engineering Senior Design I 18 students, 1 term, Average GPA 3.83
• ECGR 5090: Special Topics: Science and Technology of Photovoltaics 13 students, 2 terms, Average GPA 4.00
• ECGR 8090: Special Topics: Interconnection Networks for Modern Multicore Systems and Accelerators 11 students, 3 terms, Average GPA 4.00
• ECGR 4892: Individual Study 6 students, 5 terms, Average GPA 4.00