CSCI 3366 Principles of Programming Languages

This course studies issues in programming language design and implementation. Language features like statically scoped variables, higher-order functions, static type-checking, recursion and pattern-matching are considered, from the points of view of both language users and language implementors. The class also introduces the functional programming paradigm, using a language like Haskell or OCaml. Other topics considered include garbage collection, tail recursion, and basics of parsing. Finally, the class introduces computer theorem-proving, using an advanced language like Agda, for reasoning about functional programs. The graded work of the class consists of regular short programming assignments as well as a more substantial project

Course overview

Department
Computer Science
School
MCAS
Credits
3
Level
Undergraduate
Offered
Periodically

Catalog details

Prerequisites
Discrete Math and Strong programming skills are required.

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

Requirements fulfilled

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
3.85 / 5 · Very Good
34 responses
Instructor rating
4.30 / 5 · Very Good
34 responses
Terms evaluated
3
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 2025Aaron Stump4.64.94.94.94.54.74.45.01–3 hrs/week11 of 19
Fall 2024Aaron Stump4.04.54.64.74.54.64.14.54–6 hrs/week11 of 11
Spring 2022Joseph Tassarotti3.03.53.73.84.64.03.33.110+ hrs/week12 of 27

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
    Spring 2027 · Aaron Stump · Hayden Hall Room 229 MWF 12:00 Noon-12:50PM · Offered