Thinking and Problem Solving: Math in the Real World
In this course intended for students who enjoy mathematics and logical reasoning, participants explore innovative ways in which math is used in the real world, in fields such as economics, computer science, media, and the physical sciences. By engaging with challenging practical problems, students hone their independent thinking and problem-solving skills.
Areas covered include the following:
- Graph theory, a topic heavily developed by both mathematicians and computer scientists. We explore algorithmic ways to compute, for example, the optimal path between two points on a map (minimizing cost, time, or another parameter). Another application is minimizing the cost of an electrical network which has to provide power to all residents in a new neighborhood.
- Probability and its numerous applications. We look at how probabilities are applied in economics and in popular media, and examine how they can sometimes be counter-intuitive or even deceptive.
- Various counting methods, combinatorics, and examples of Nash equilibria. We study applications of these techniques in economics (the prisoner's dilemma), computer science (assessing the complexity of an algorithm), finance (loans and investments), and biology (population growth).
Students work individually and in groups to find creative solutions to given problems. Each student also works on a project of his or her own choosing, on a topic about which he or she is passionate.
Prerequisite: Algebra 1. Algebra 2 is recommended but not required.
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October 09 to November 22, 2026
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Section D01
MARW0104- Saturday 1:00–4:00 p.m. ET
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January 23 to March 29, 2026
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- Sunday 10:00 a.m.–12:00 p.m. ET
Instructor(s): Patrick Galarza (opens in a new window)
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June 29 to July 17, 2026
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- Monday–Friday 11:10 a.m.–1:00 p.m. and 3:10–5:00 p.m. ET
Instructor(s): Elena Green (opens in a new window)
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July 21 to August 07, 2026
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- Monday–Friday 9:10–11:00 a.m. and 1:10–3:00 p.m. ET
Instructor(s): Elena Green (opens in a new window)
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- Monday–Friday 9:10–11:00 a.m. and 1:10–3:00 p.m. ET
Instructor(s): Sridhar Nagubandi (opens in a new window)
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June 22 to June 26, 2026
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- Monday–Friday 10:00 a.m.–12:00 p.m. and 1:00–3:00 p.m. ET
Instructor(s): Zoe Petitt (opens in a new window)
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July 06 to July 17, 2026
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- Monday–Friday 12:00–3:00 p.m. ET
Instructor(s): Zoe Petitt (opens in a new window)
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July 20 to July 31, 2026
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- Monday–Friday 8:00–11:00 a.m. ET
Instructor(s): Patrick Galarza (opens in a new window)
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