Patrick Miller

University of California, Riverside

Grade distributions, average GPA, and courses taught by Patrick Miller at University of California, Riverside. Historical grade data across 4 courses on MyClassGrades.

• CS 010C: INTRODUCTION TO DATA STRUCTURES AND ALGORITHMS 1,058 students, 6 terms, Average GPA 2.89 Grades: A+ 26.6%, A 13.8%, A- 8.6%, B+ 7.3%, B 9.1%, B- 4.5%, C+ 2.2%, C 2.6%, C- 1.6%, D+ 12.2%, D 1.9%, D- 0.6%, F 8.9%.
• CS 010B: INTRODUCTION TO COMPUTER SCIENCE FOR SCIENCE, MATHEMATICS, AND ENGINEERING 2 232 students, 2 terms, Average GPA 2.81 Grades: A+ 12.1%, A 17.2%, A- 13.8%, B+ 9.9%, B 8.6%, B- 6.9%, C+ 3.9%, C 2.2%, C- 1.3%, D+ 10.3%, D 3.9%, D- 2.2%, F 7.3%.
• CS 160: CONCURRENT PROGRAMMING AND PARALLEL SYSTEMS 109 students, 1 term, Average GPA 3.94 Grades: A+ 1.8%, A 91.7%, B+ 5.5%, C- 0.9%.
• CS 142: Algorithm Engineering 64 students, 2 terms, Average GPA 3.69 Grades: A+ 45.3%, A 23.4%, A- 15.6%, B+ 4.7%, B 3.1%, B- 3.1%, C+ 1.6%, F 3.1%.