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Physics, Math and Puzzles
FYSEMR 23P

Course Information

Description

Physics is a highly developed branch of science with a broad range of applications. Despite the complexity of the universe, the fundamental laws of physics are rather simple, if viewed properly. This seminar will focus on intuitive as well as mathematical underpinnings of some of the fundamental laws of nature. The seminar will use mathematical puzzles to introduce the basic features of physical laws. Main aspects discussed include the role of symmetries as well as the power of modern math, including abstract ideas in topology, in unraveling the mysteries of the universe. Examples are drawn from diverse areas of physics including string theory. The issue of why the universe is so big, as well as its potential explanation is also discussed.

NOTE: This seminar is recommended for students with a strong background in both math and physics and with keen interest in the relation between the two subjects.

Class Notes

First-Year Seminars are available only to first-year students. You may apply to both Fall 2026 and Spring 2027 First-Year Seminars via the FYS lottery between July 6 and August 6, 2026 at 11:59PM-midnight.

You may apply to as many seminars each term as you would like, but we recommend you apply to at least six in fall and three in spring.

As part of your application, you must provide a brief statement on why you are interested in each seminar. You will be notified of lottery results for both fall and spring seminars at 5 pm on August 11. If you are unsuccessful in the lottery, you may still join any seminar with open seats. A list of open seminars and instructions on next steps will be available on the First-Year Seminar Program website August 11 at 12 Noon.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Not Available for Cross Registration

Course Component Seminar
Grading Basis FAS Satisfactory/Unsatisfactory
Course Requirements Course open to First-Year Students Only
Exam/Final Deadline Dec. 19, 2026
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution None
Course Level Primarily for Undergraduate Students