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USACO Silver Problem Series

This course deepens our students’ competitive programming and problem-solving knowledge and gives them the tools they need to succeed in the Silver level of the USA Computing Olympiad. Major focus topics include binary search, data structures (e.g., priority queues), recursion (especially on trees), and graph search algorithms. This material is not only important in competitive programming, but very useful in computer science and programming in general!

16 weeks

Diagnostics

ARE YOU READY?
16 weeks ARE YOU READY?  

Schedule

Wednesday
May 6 - Aug 19
7:30 - 9:00
PM ET
May 6 - Aug 19
7:30 - 9:00 PM Eastern
6:30 - 8:00 PM Central
5:30 - 7:00 PM Mountain
4:30 - 6:00 PM Pacific
Click here to see more time zones
$595 (~$38/lesson)
$595 (~$38/lesson)
ENROLL

AoPS Holidays

There are no classes May 23 ‐ 25, July 3 ‐ 5, September 5 ‐ 7, October 31, November 23 ‐ 29, and December 21 ‐ January 3, 2027.

Who Should Take?

We expect USACO Silver students to have taken our USACO Bronze class, or to already be at the Silver level or close to advancing from the Bronze level (i.e., scoring 500+ in timed contests). If you have not yet competed in USACO, this course is only suitable if you have prior experience in competitive programming and algorithmic problem-solving and you feel comfortable solving USACO Bronze problems from recent years.

Students should also be comfortable coding in at least one of C++, Java, and Python. Although many Silver problems are fully solvable in Python, C++ provides a significant advantage starting at this level, and is all but required for success at the Gold level. Although our course does not include C++ lessons per se, it encourages the use and engagement of C++.

Many contest problems are quite mathematical, so students should have at least a prealgebra level of math experience. Algebra is recommended as a pre- or co-requisite.

Lessons

1 Welcome to Silver
2 Intro to Binary Search
3 Advanced Binary Search
4 Data Structures I: Stacks, Queues, and Linked Lists
5 Data Structures II: Deques, Heaps, and Priority Queues
6 Recursion and Memoization
7 Rooted Binary Trees
8 General Trees
9 Further Recursion and Divide and Conquer
10 Graphs and Depth-First Search
11 Breadth-First Search and Dijkstra's Algorithm
12 Functional Graphs and Backtracking
13 Bitwise Operations, Strings, and Tries
14 Ad Hoc Problems
15 Combinatorics and Number Theory
16 Miscellaneous Tools

It is a great privilege to take these classes; Art of Problem Solving has truly changed my life.