ECON 7720 Math for Economists

"Economics studies the efficient allocation of scarce resources." It follows almost immediately from this definition that while verbal and graphical analyses are often helpful too, economists derive their sharpest and most powerful results by setting up and solving constrained (because resources are "scarce") optimization (because allocations should be "efficient") problems. Hence, this course introduces first-year graduate students to variety of techniques for doing just that: setting up and solving constrained optimization problems. Specific methods covered include those based on the Kuhn-Tucker and envelope theorems, the maximum principle, and dynamic programming. Note that since this is a "math for economists course", its emphasis is not so much on stating and proving theorems but on developing an intuitive understanding of how and why each method works and determining when one particular approach may be easier or more convenient than all others to apply to a specific problem.

Course overview

Department
Economics
School
MCAS
Credits
3
Level
Graduate
Offered
Every Fall

Course evaluations

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

Course rating
4.88 / 5 · Excellent
64 responses
Instructor rating
4.94 / 5 · Excellent
64 responses
Terms evaluated
5
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 2025Peter Ireland4.94.94.64.84.14.54.84.84–6 hrs/week8 of 12
Fall 2024Peter Ireland4.85.05.04.94.85.04.94.44–6 hrs/week12 of 13
Fall 2023Peter Ireland—————————16 of 16
Fall 2022Peter Ireland4.84.85.05.04.35.04.94.01–3 hrs/week20 of 20
Fall 2021Peter Ireland5.05.05.05.04.55.04.94.34–6 hrs/week8 of 15

Data freshness

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

Instructors

  • Peter Ireland
    Fall 2026, Fall 2025, Fall 2024, Fall 2023, Fall 2022, Fall 2021 · Official rating 4.94/5

Sections

  • Section 01
    Fall 2026 · Peter Ireland · O'Neill Library 257 TuTh 10:30AM-11:45AM · Offered