CSCI 3369 Economics and Computation

Thiscourseexamines the intersection of economic and computational thinking, emphasizing core concepts, modeling, and mathematical analysis while highlighting connections to the digital economy and online systems. Covered topics include game theory, auction design, incentive alignment, information elicitation, matching, reputation systems, cryptoeconomics, and privacy and ethics. Practical applications span advertising, pricing, crowdsourcing, social networks, market platforms, DeFi, prediction markets, and more. Students will engage in both theoretical and computational exercises and complete a final project. No background in economic theory is assumed.

Course evaluations

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

Course rating
4.08 / 5 · Very Good
26 responses
Instructor rating
4.37 / 5 · Very Good
26 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 2025Francisco Marmolejo Cossio4.14.14.04.15.04.34.34.34–6 hrs/week8 of 12
Spring 2025Francisco Marmolejo Cossio4.14.54.24.34.94.34.54.57–9 hrs/week18 of 21

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 · Francisco Marmolejo Cossio · Hayden Hall Room 125 TuTh 10:30AM-11:45AM · Offered