Phys 241 - Introduction to Research

Course Information

Physics 241 -- Introduction to Research-- Spring 2023

Meetings

MWF 5th period

Instructor

Tom Moses

Textbook

Taylor "An Introduction to Error Analysis", 3rd ed.

Office

D116 SMC

Exam Schedule

Statistics exam: Wed. 4/19

Late Policy

10% penalty per business day


Homework Set #1: Ch 2 #28, 29, 30, 32; Ch 3 #12, 19, 28, 43, 53, 55 (3rd ed.)
        (2nd ed. Ch 2 #26, 27, 28, 30; Ch 3 #10, 15, 18, 24, 39, 47)
Homework Set #2:  Ch 4 #8, 16, 20, 24, 28, 30; Ch 5 #24, 27, 32, 40 (3rd ed.)
        (2nd ed. Ch 4 #6, 14, 18, 22, 26, 28; Ch 5 #20, 23, 28, 36)
Homework Set #3: Ch 6 #4, 7; Ch 7 #6, 8; Ch 8 #5, 9, 12, 16; Ch 9 #5, 16 (3rd ed.)
        (2nd ed. Ch 6 #4, 7; Ch 7 #6, 8; Ch 8 #5, 8, 9, 12, 16; Ch 9 #5, 7, 16)
Homework Set #4: Ch 10 #15, 17, 20, 22; Ch 11 #6, 11, 12, 22
        (2nd ed. Ch 10 #15, 17, 20, 22; Ch 11 #6, 9, 10, 20)

Shop Project drawing


Course Description:
    
     Modern science provides our most certain knowledge about nature, but this knowledge is based ultimately on experiments.  And as we will see, real experiments can be a rather messy and uncertain business.  In this course, we will explore how uncertain experimental data is analyzed and interpreted, as well as some practical issues in designing, setting up, and carrying out experiments.
     A major theme of the course will be the analysis of experimental uncertainties.  We will ask questions like: Given that the experimental value was x, what is the probable range in which the true value lies?  If one experimenter gets x and another gets x + dx, are the values consistent (within the uncertainties of the measurements), or do they disagree?  Given data that is uncertain (to a known extent), how much confidence can we have (quantitatively) that a particular hypothesis is or is not consistent with the data?  From the nature of these questions, it is clear that statistics and probability are going to be important; in fact, the theory of statistics provides the crucial connecting link between experimental data and a theoretical model.  The text for the course, most of which we will cover during the first two weeks, covers the basic theory we will need.

Goals for the Course

     This course is unlike any other in the Physics Department.  For one thing, there are few tests and no final exam.  The course content does not cover a particular branch of physics theory.  Instead, the course is about learning to do experiments, which encompasses a wide, maybe even daunting, range of skills--from understanding the underlying physics theory (yes, this does turn out to be pretty helpful), to constructing parts and apparatus in the machine shop, interfacing electronic sensors or instruments with computers, analyzing data and estimating experimental uncertainties, and giving clear presentations of your findings in oral, poster, and written form. The goal of this course is to give you at least the rudiments most of these skills, and the course is organized so we will cover most of the list.  The first 3 weeks will consist mostly of traditional lectures on how to treat experimental uncertainties.  Then, we'll have a week-long crash course on using the machine shop to make apparatus.  In the second half of the course, you get to design and carry out your own experiments--no lab manual!  I'll provide a list of ideas, some experiments that have been done before (and ways you might modify or extend them), and some ideas for experiments that have not been tried before at Knox, and which might not even be possible!  Of course, I'll be available to answer questions--I expect you to have plenty of them.  Two very important and useful skills we will work on during the second half of the course is learning how to give clear presentations of your research results, both verbally and in writing.



 

  Grade Weighting:

Homework

12%

Short Lab Exercises

10%

Three Experiments

20% each

Class participation/Shop  Project

8%

Statistics exam

10%

Experiment 1, 3 grades are weighted 40% oral presentation, 60% paper.

Honor Code: 
You may work together in groups to discuss and solve problems related to the homework problems and lab reports.  In writing up your problem sets and lab reports, each person must do his or her own work.  Duplicate problem sets or lab reports are not allowed, even by lab partners.  You may share data with your lab partner only if both of you were present in the lab together collecting the data.  The use of online homework aids or solution manuals is prohibited.  Unless you are given permission by me, looking at course materials of former Physics 241 students is also prohibited.



Course Schedule:

Week 1-2       Lectures on Taylor, Ch. 1 - 5        Pendulum Mini-Experiment
Week 2-3       Lectures on Taylor, Ch. 6 - 9        Video Analysis Mini-Experiment
Week 4          Lectures on Taylor, Ch 10-11   

Week 4          Machine shop

Weeks 5, 6    Experiment 1
Weeks 7, 8    Experiment 2
Weeks 9, 10  Experiment 3


Week 1
   Wed. 3/22
   Fri. 3/24    Lecture Ch 1, 2
Week 2
   Mon. 3/27    Lecture Ch 3, 4    HW #1 due
   Wed. 3/29    Lecture Ch 4, 5    
   Fri. 3/31    Lecture Ch 5, 6    Mini-Experiment #1 (Pendulum) due
Week 3
   Mon. 4/3    Lecture Ch 7, 8    HW #2 due
   Wed. 4/5    Lecture Ch 8, 9    
   Fri. 4/7    Lecture Ch 9, 10    Mini-Experiment #2 (Air-track) due
Week 4
   Mon. 4/10    Lecture Ch 10, 11    HW #3 due    
   Wed. 4/12    Lecture: Machine shop basics; Machine shop    
   Fri. 4/14    Machine shop
Week 5
   Mon. 4/17    Experiment 1 advice     HW #4 due
   Wed. 4/19    Statistics exam
   Fri. 2 4/21    Experiment 1: Present preliminary results    Machine shop project due
Week 6
   Mon. 4/24    Mini-lecture: Guidelines for oral presentations and written reports
   Wed. 4/26    Experiment 1: Oral presentations
   Fri. 4/28    Experiment 1: Written report due
Week 7
   Mon. 5/1    
   Wed. 5/3        
   Fri. 5/5    Experiment 2: Present preliminary results
Week 8
   Mon. 5/8       
   Wed. 5/10    Experiment 2: Oral presentations
   Fri. 5/12    Experiment 2: Written report due
Week 9
   Mon. 5/15
   Wed. 5/17    
   Fri. 5/19    Experiment 3: Present preliminary results
Week 10
   Mon. 5/22    
   Wed. 5/24    Experiment 3: Oral presentations    
 
   Finals    Experiment 3: Written report due

Links about Abstracts: (numerous others exist!)

Link1

Link2


This page was last modified on: 3-22-2023