Christian Shelton

University of California, Riverside

Grade distributions, average GPA, and courses taught by Christian Shelton at University of California, Riverside. Historical grade data across 6 courses on MyClassGrades.

• CS 171: INTRODUCTION TO MACHINE LEARNING AND DATA MINING 276 students, 6 terms, Average GPA 2.71 Grades: A+ 5.8%, A 15.6%, A- 11.6%, B+ 8.0%, B 8.0%, B- 10.1%, C+ 8.3%, C 10.5%, C- 9.4%, D+ 2.2%, D 4.0%, F 5.8%.
• CS 229: Machine Learning 114 students, 3 terms, Average GPA 3.34 Grades: A+ 4.4%, A 17.5%, A- 16.7%, B+ 21.9%, B 21.9%, B- 10.5%, C+ 1.8%, C 1.8%, D+ 0.9%.
• CS 224: FOUNDATIONS OF MACHINE LEARNING 81 students, 2 terms, Average GPA 3.22 Grades: A+ 8.6%, A 21.0%, A- 16.0%, B+ 11.1%, B 12.3%, B- 8.6%, C+ 8.6%, C 7.4%, F 2.5%.
• CS 227: Prob Mdls for Art Int 56 students, 2 terms, Average GPA 3.55 Grades: A+ 7.1%, A 30.4%, A- 16.1%, B+ 16.1%, B 23.2%, B- 3.6%.
• CS 181: Princpls: Programmng Languages 20 students, 1 term, Average GPA 2.81 Grades: A+ 15.0%, A 10.0%, A- 15.0%, B+ 15.0%, B 10.0%, C 5.0%, C- 10.0%, D+ 15.0%, F 5.0%.
• CS 260: SEMINAR IN COMPUTER SCIENCE 15 students, 1 term, Average GPA 3.98 Grades: A+ 20.0%, A 73.3%, A- 6.7%.