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Great Experiments that Changed Our World
GENED 1037

Course Information

Description

In what ways does reliving 10 groundbreaking scientific experiments teach us how our own efforts can remake the world?

Facing the edifice of preexisting knowledge, how are breakthrough scientific discoveries made that contradict the existing canon? Ten great experiments that have transformed our understanding of nature will guide us, first through immersion in the scholarship and popular beliefs of the time. Next, how did the discoverer prepare? What were the motivations, prior experiences, and training that led to the threshold of a fruitful advance? Then, to the degree possible, we will carry out the exact same investigations, building our own simple equipment from scratch, duplicating the challenges of wresting patterns from noisy and incomplete data. Students will compare their results to both private and published versions of the original research. The course will examine the magnitude of the cognitive shifts experienced and the often uphill battle to acceptance. We will build an understanding of the nature of scientific progress, examining how the mastery of natural phenomena leads to new technologies and how these can contribute to further scientific discovery.

Experiments are drawn from the natural sciences, ancient to modern, from Eratosthenes measuring the earth’s size to Rosalind Franklin determining the structure of DNA. We will consider how these discoveries continue to impact society, as well as the many ethical questions raised. The course will examine the difficulty of accepting new experimental evidence falsifying accepted scientific paradigms and how this remains an issue that plays out in current society. By unpacking these 10 experiments, students will be able to better prepare for their own future discoveries and contributions.

Class Notes

This course is part of the Gen Ed lottery and has an enrollment cap. To participate in the lottery, you must request permission to enroll by submitting a petition and ranking your choices through my.harvard by 11:59 p.m. EST Monday, November 9, 2026. 

  • Note: You must rank your course choices to participate in the lottery--even if you choose only one course. 

The Gen Ed lottery will run Tuesday, November 10. If you are successful in the lottery, it will say “Petition Approved” in green above the course in your Crimson Cart. You will have until 11:59 p.m. EST Thursday, November 12, to select “enroll” and claim your seat. After that time, enrollment will open up to non-lottery petitioners. 

For instructions on how to participate in the lottery, please visit: https://harvard.service-now.com/ithelp?id=kb_article&sys_id=c3e857c9db7d4bc4a752f1a51d96190e 

For more information on the Gen Ed lottery specifically, please visit: https://gened.college.harvard.edu/courses/registration-and-lottery/

Sectioning for this course will take place during after registration closes. Once you have enrolled in the course and the placeholder (“DIS”) section, please rank your section preferences by 11:59 p.m. on Friday, November 20. To do this, click on the cog icon next to the Gen Ed course in your Crimson Cart. You will then be prompted to rank the section times. Once we have your ranking, we will do our best to find you a seat in your highest-ranked available section. 

Instructions on how to rank sections can be found here: https://harvard.service-now.com/ithelp?id=kb_article&sys_id=3f5cdb41dbfd4bc4a752f1a51d9619a1

If none of the times work for you, you are welcome to not set any preferences and remain in the placeholder for the time being. However, please note that if enrollment does not significantly change during Add/Drop, no additional sections will be added and you will ultimately need to enroll in an available section or drop the course.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Course Component Lecture
Grading Basis FAS Letter Graded
Course Requirements Course open to Undergraduate Students Only
General Education Science and Technology in Society
Quantitative Reasoning with Data N/A
Divisional Distribution None
Course Level Primarily for Undergraduate Students