Samet Oymak

University of California, Riverside

Grade distributions, average GPA, and courses taught by Samet Oymak at University of California, Riverside. Historical grade data across 7 courses on MyClassGrades.

• EE 114: PROBABILITY, RANDOM VARIABLES, AND RANDOM PROCESSES IN ELECTRICAL ENGINEERING 168 students, 4 terms, Average GPA 3.27 Grades: A+ 3.6%, A 17.9%, A- 23.2%, B+ 14.9%, B 14.9%, B- 12.5%, C+ 5.4%, C 1.2%, C- 2.4%, D+ 1.2%, D 1.2%.
• CS 228: Introduction to Deep Learning 121 students, 3 terms, Average GPA 3.55 Grades: A+ 5.0%, A 33.9%, A- 24.8%, B+ 13.2%, B 13.2%, B- 5.8%, C+ 0.8%, C 2.5%.
• EE 215: STOCHASTIC PROCESSES 79 students, 2 terms, Average GPA 3.42 Grades: A+ 5.1%, A 25.3%, A- 26.6%, B+ 12.7%, B 10.1%, B- 12.7%, C+ 2.5%, C 3.8%, C- 1.3%.
• EE 260: Seminar in Electrcal Engneerng 56 students, 1 term, Average GPA 3.79 Grades: A+ 10.7%, A 46.4%, A- 25.0%, B+ 16.1%, B- 1.8%.
• EE 228: Introduction to Deep Learning 46 students, 3 terms, Average GPA 3.41 Grades: A+ 10.9%, A 32.6%, A- 19.6%, B+ 17.4%, B 2.2%, B- 2.2%, C+ 4.3%, C 4.3%, C- 2.2%, D+ 2.2%, F 2.2%.
• EE 016: DATA ANALYSIS FOR ENGINEERING APPLICATIONS 33 students, 1 term, Average GPA 2.98 Grades: A+ 6.1%, A 15.2%, A- 18.2%, B+ 12.1%, B 15.2%, B- 9.1%, C+ 9.1%, C 6.1%, D 3.0%, F 6.1%.
• CS 248: Optmzn for Machine Learning 11 students, 1 term, Average GPA 3.27 Grades: A 36.4%, A- 27.3%, B+ 18.2%, C+ 9.1%, F 9.1%.