CSCI 1080 Principles of Computer Science

This is an introductory course for students with little or no programming experience. It is intended principally for students who will not be CS majors or minors, but it will help prepare students for futurecomputerscience courses if they wishtocontinue, and will enable themtouse programmingtosolve problems in their field of study. The course presents an overview of the history, great principles, and transformative applications ofcomputerscience, as well as a comprehensive introductiontoprogramming. Students will start with visual coding and later be introduced to Python. The course is based on the 'learning by doing' approach where active participation and pair programming are pillar of the course.

Course overview

Department
Computer Science
School
MCAS
Credits
3
Level
Undergraduate
Offered
Every Fall

Catalog details

Satisfies core
Mathematics

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Requirements fulfilled

  • University Core: Mathematics (All undergraduates)

Requirement eligibility can vary by school, cohort, and section. Confirm the selected section in EagleApps or with an advisor.

Course evaluations

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

Course rating
3.38 / 5 · Good
164 responses
Instructor rating
3.51 / 5 · Very Good
164 responses
Terms evaluated
4
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 2025Cristina Maier3.73.73.94.13.44.24.04.31–3 hrs/week29 of 37
Fall 2024Maira Marques Samary3.23.43.83.84.24.34.14.41–3 hrs/week39 of 54
Fall 2023Maira Marques Samary—————————45 of 59
Fall 2022Maira Marques Samary3.53.64.04.14.34.34.34.51–3 hrs/week51 of 71

Data freshness

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

Instructors

Sections

  • Section 01
    Fall 2026 · Cristina Maier · Hayden Hall Room 229 MWF 02:00PM-02:50PM · Offered