Algorithms
ECON S3365 (CRN: 30237)
Instructors: Dylan McKay
Dates: Session B, June 29 - July 31, 2026
Course Mode: In-Person
Meeting Times: M-F 10.00-11.15, TTh 1.00-2.00
Distributional Requirements: Quantitative Reasoning
Eligibility: Open to college students only
In-person Course. Paradigms for algorithmic problem solving: greedy algorithms, divide and conquer, dynamic programming, and network flow. NP completeness and approximation algorithms for NP-complete problems. Algorithms for problems from economics, scheduling, network design and navigation, geometry, biology, and optimization. This course provides algorithmic background essential to further study of computer science. Prerequisite: CPSC 2230 and CPSC 2020 (or equivalent course- ex. MATH 2440). For college students and beyond. 1 Credit. Session B: June 29 – July 31. Tuition: $5480.
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