Marina Langlois

University of California, San Diego

Grade distributions, average GPA, and courses taught by Marina Langlois at University of California, San Diego. Historical grade data across 7 courses on MyClassGrades.

• DSC 20: Intro to Data Structures 3,392 students, 23 terms, Average GPA 3.09 Grades: A+ 12.2%, A 21.6%, A- 14.0%, B+ 10.7%, B 10.1%, B- 5.5%, C+ 4.9%, C 4.5%, C- 2.0%, D 2.3%, F 7.3%.
• DSC 30: Representations of Data 1,874 students, 15 terms, Average GPA 2.98 Grades: A+ 8.1%, A 19.1%, A- 10.6%, B+ 8.8%, B 13.1%, B- 7.6%, C+ 5.3%, C 6.1%, C- 2.9%, D 2.9%, F 6.5%.
• DSC 80: Practice of Data Science 335 students, 5 terms, Average GPA 3.10 Grades: A+ 0.9%, A 20.3%, A- 13.1%, B+ 13.7%, B 15.8%, B- 7.2%, C+ 3.6%, C 3.0%, C- 4.2%, D 2.1%, F 3.9%.
• DSC 40B: Theor Fndtns of Data Sci Ii 238 students, 2 terms, Average GPA 3.01 Grades: A+ 5.5%, A 16.0%, A- 16.8%, B+ 12.6%, B 15.1%, B- 7.1%, C+ 5.0%, C 4.2%, C- 4.6%, D 5.9%, F 2.9%.
• DSC 10: Principles of Data Science 167 students, 1 term, Average GPA 3.19 Grades: A+ 8.4%, A 22.8%, A- 12.0%, B+ 16.8%, B 15.0%, B- 6.0%, C+ 3.6%, C 5.4%, C- 1.8%, D 2.4%, F 3.0%.
• DSC 190: Topics in Data Science 52 students, 1 term, Average GPA 3.58 Grades: A+ 5.8%, A 46.2%, A- 13.5%, B+ 9.6%, B 3.8%, B- 9.6%, C 1.9%, C- 3.8%.
• DSC 95: Tutor Appshp in Data Science 49 students, 3 terms