Raj Acharya

Indiana University

Grade distributions, average GPA, and courses taught by Raj Acharya at Indiana University. Historical grade data across 4 courses on MyClassGrades.

• ENGR-E 533: Deep Learning Systems 47 students, 1 term, Average GPA 3.63 Grades: A+ 2.1%, A 14.9%, A- 8.5%, B+ 17.0%, B 2.1%.
• ENGR-E 511: Machine Learning Signal Proc 24 students, 1 term, Average GPA 3.79 Grades: A 37.5%, A- 4.2%, B+ 8.3%, B 4.2%.
• CSCI-B 590: Topics in Computer Science 13 students, 1 term, Average GPA 3.79 Grades: A 38.5%, A- 7.7%, B+ 15.4%.
• ENGR-E 599: Topics in Intell Sys Engineer 11 students, 1 term, Average GPA 4.00 Grades: A 54.5%.