CMSC398E

Special Topics in Computer Science; Essential Data Science Skill & Techniques

Reviews for this courseTestudo

A student-led course through Student-Initiated Courses (STICs) @ UMD: http://stics.umd.edu/ Please click here for more information.

Sister Courses: CMSC398B, CMSC398C, CMSC398D, CMSC398F, CMSC398G, CMSC398I, CMSC398J, CMSC398K, CMSC398L, CMSC398M, CMSC398N, CMSC398O, CMSC398P, CMSC398Q, CMSC398R, CMSC398T, CMSC398U, CMSC398V, CMSC398W, CMSC398Z

Past Semesters

Justin Wyss-Gallifent

0 reviews
Average rating: N/A

Justin Wyss-Gallifent

0 reviews
Average rating: N/A

Justin Wyss-Gallifent

0 reviews
Average rating: N/A

Justin Wyss-Gallifent

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.72 between 131 students*

CMSC398E Grade Distribution+-051015202530354045505560657075808590% of studentsABCDFWother
A-: 19.85%
A: 18.32%
A+: 48.09%
B-: 1.53%
B: 2.29%
B+: 3.82%
C: 0.76%
C+: 0.76%
F: 1.53%
W: 1.53%
other: 1.53%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.