MCAN 1137 Statistical Computing: Programming in R

This course provides an introduction to statistical computing which includes setup of the R operating environment, programming in R, reading data in R, accessing R packages, writing R scripts, and creating R markdown documents. Examples are drawn from a variety of topics.

Course overview

Department
Messina College
School
MCBC
Credits
1
Level
Undergraduate

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
3.55 / 5 · Very Good
54 responses
Instructor rating
3.96 / 5 · Very Good
54 responses
Terms evaluated
2
Most recent: Fall 2025

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Fall 2025Jonathan Beebe3.53.84.24.24.54.44.04.54–6 hrs/week27 of 31
Fall 2024Jonathan Beebe3.64.14.34.34.54.44.14.74–6 hrs/week27 of 32

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors