Instructor Insights

Course Overview

This page focuses on the course 22.S902 Do-It-Yourself (DIY) Geiger Counters as it was taught by Prof. Michael Short in IAP 2015.

This experimental one-week course, offered during the January IAP term , is a freshman-accessible hands-on introduction to Nuclear Science and Engineering at MIT. Students build and test their own Geiger Counter, and in so doing, they explore different types and sources of radiation, how to detect them, how to shield them, and how to accurately count/measure their activity. This course is meant to be enjoyable and rigorous at the same time.

Course Outcomes

Course Goals for Students

Learning objectives:

  • Understand types of radiation: alpha, beta, gamma, neutrons and others
  • Describe characteristics of natural and man-made radiation sources
  • Predict the type and energy of radiation for different reactions
  • Explain principles of radiation shielding
  • Interpret detector theory and limitations
  • Gain exposure to statistics, uncertainty, and error analysis as applied to Geiger counters
  • Understand implementation issues: circuit theory, sources of error and dead time

Laboratory objectives:

  • Learn how to solder and assemble circuits
  • Develop testing and debugging skills
  • Understand sources of experimental error
  • Plan experimental procedures for faster success

Possibilities for Further Study/Careers

This course prepares students to start undergraduate work in nuclear science and engineering. It exposes them to buzzwords and key concepts. The course also enables them to test a few of these concepts. This is important, because the fundamentals of nuclear science are typically not taught in high schools. 

The course also provides students with the fundamentals needed for the study of radiation physics. Students interested in pursuing radiology or interstellar radiation will find it useful. 

Instructor Interview

"This is the class in which I want to see things exploding. This is where I want to see you do the high-voltage dance. This is where I want everything to go wrong, because you can’t get it to go right unless you see what goes wrong."
—Michael Short

In the following pages, Prof. Michael Short describes various aspects of how he taught 22.S902 Do-It-Yourself (DIY) Geiger Counters.

Curriculum Information

Prerequisites

None

Requirements Satisfied

None

Offered

This was a first-time experimental offering during IAP.

Assessment

The students’ grades were based on the following activities:

  • 25% Problem sets
  • 25% Lab report
  • 50% Successfully building a working Geiger counter

Instructor Insights on Assessment

In assessing student learning, we attended to whether or not students accounted for experimental error in their work. We wanted to know if they were thinking about statistics, or just writing down the numbers generated by the counters. We checked to see if they were thinking critically about the data. For example, if students got a background count of 0, we didn’t want them to assume that that number meant there was no radiation in the room. We wanted them to consider the fact that something may have gone wrong with their experiment, such as a loose wire. These were the kinds of things that we paid attention to in our grading.

Student Information

Enrollment

12 students

Breakdown by Year

1/2 freshmen, 1/2 graduate students. Several visiting graduate students from SUTD (Singapore University of Technology and Design) also participated.

Ideal Class Size

The bigger the better, up to about 25-30 students (assuming 2 or 3 talented TAs).

How Student Time Was Spent

This was a one-week course, in which students were expected to spend approximately 40 hours, divided as follows:

In Class

  • Met 4 hours a day for one week; 5 total sessions.
  • Interactive lectures.
  • Hands-on lab experiences; students built their Geiger counters from kits and used the counters to run experiments.

Out of Class

Course Team Roles

Main Instructor (Prof. Michael Short)

  • Developed and delivered lecture content.
  • Assessed students’ work.
  • Assisted students during lab.

Teaching Assistants (Mark Chilenski and Matthew D’Asaro)

Course Info

Learning Resource Types

assignment Problem Sets
collections Image Gallery
notes Lecture Notes
assignment Written Assignments
co_present Instructor Insights