PHY102 - Physics Computations I

Maintained by Simon Billinge
All course materials, worksheets and solutions will be posted here


Course grade for spring 01

HERE  is a table showing which worksheets we have received from you and which are missing.  This also shows what grade you will be receiving from the course portion of the class (see syllabus below for how this was calculated). If there are any mistakes or if you have any questions, please contact Prof Billinge (preferrably by email) as soon as possible.

Instructor

  • Prof Simon Billinge- Rm 6PA, 353-8697, billinge@pa.msu.edu

    • Teaching assistants

  • Valeri Petkov - petkov@pa.msu.edu
  • Dave Oostdyk - oostdyk@pa.msu.edu

    • Course Outline

    Physicists use mathematics as a tool to model the universe.  Think of computers as our power-tools.  This course, and the two subsequent one credit classes in physics computations (PHY102, PHY201, PHY301 ), are designed to teach you how to use these tools effectively and safely.

    These power-tools allow us to study problems which are not tractable using analytic mathematics (the usual kind).  As with all power-tools, they can also be used as labor saving devices to help solve problems that do have analytic solutions (i.e., homework problems!).  This course (PHY102) concentrates on the use of Mathematica.  Mathematica solves mathematical problems and it includes a versatile graphical interface which allows you to visualize the solutions as well.  Mathematica can find solutions to algebraic equations, it can do calculus and it can evaluate equations numerically.  It is a very powerful and useful general purpose program.

    During PHY102 you will apply Mathematica to physics problems drawn from material covered in PHY183 and/or PHY193H, sometimes even during the same week of class. In addition to the algebraically solvable problems typically assigned in courses, you will also solve more complex problems numerically. Examples include the non-linear pendulum, motion in a gravitational field and chaos in simple maps. A weekly worksheet forms the core of the course.  You should set aside at least 2 hours per week to work through the worksheet.  You are required to attend one lab session per week in Room 346, Giltner Hall, that will be staffed by a TA.  Normally the completed worksheets will be handed in at the end of this session.  Worksheets not completed in class will be accepted up until 5pm on the Monday following the week when the worksheet was assigned.  Printed copies of the worksheet should be left in Prof. Billinge's mailbox or delivered to his office.  Under special circumstances an extension can be granted if arrangements are made with Prof. Billinge BEFORE the deadline passes.  Situations like these will be handled on a case by case basis but worksheets won't be accepted after the deadline if you have not obtained prior permission.  Remember, your course grade-point drops by 0.5 for each worksheet not completed and handed in on time (see below)!  Beyond the worksheets, there will be no homework assignments for the course.

    Lab sessions will be arranged to fit your schedules in the first week of classes.  Please contact Prof. Billinge if you have any questions.

    Lab. Schedule - Room 346 Giltner Hall

    Tuesdays 9-11 am,  instructor Valeri Petkov (petkov@pa.msu.edu)
    Jason Felton, Alex Hawley, Bridgette Jackson, Beth Purdue, Peter Redl

    Tuesdays 6-9 pm, Instructor Dave Oostdyk (Oostdyk@pa.msu.edu)
    Dustin Baker, Erin Henderson, Matt Nemeth, Joseph Paul, Richard Perez, Mark Rathwell, Greg Sliwka,Kelly Wronkowicz

    Thursdays 1:30-4:30,  Instructor Simon Billinge (Billinge@pa.msu.edu)
    Charles Armstrong, Leslie Boker, Laura Chapin, Matthew Gibbons, Joshua Hubbell, Robert Quigley

    You should set aside at least 2 hours per week to work through the weekly worksheet.

    Course Assessment

  • 75% of the course grade will come from your attendance at the labs and solution to the weekly worksheets. For each worksheet which is not completed and handed in on time your grade is reduced by 0.5. If you complete all the worksheets and attend all the labs you get a 3.0 grade.  Missed labs without a valid reason will result in a warning followed by a reduction in grade of 0.5 for each subsequent missed lab.
  • 25% of the course grade will come from a one hour practical exam at the end of the semester. This exam will be held in the last week of semester during your regular lab time. In the exam you will be asked to perform mathematica functions you have used in the worksheets during the semester. Nothing new will be introduced. You will need to know how to use the online help facility.

    • Lab. Exam

    The lab. exam is intended to test how well you know mathematica. If you know the basic commands well and work efficiently, you will finish in the allocated 1 hr. That is, it is a timed test. You will be given a test exam as worksheet 12 which will be similar to the final exam. The test exam grading procedure is as follows (these are added to your worksheets' grade):

    Less than two questions complete -> 0.0
    Between two and four questions complete -> 0.5
    Four or more questions complete -> 1.0

    The lab. exam will be scheduled during your usual assigned lab slot.

    Worksheets

    Worksheet 1, week of Jan 15th, due Jan 22nd (postscript)
    Worksheet 2, week of Jan 22nd, due Jan 29th (postscript), Solutions (postscript)
    Worksheet 3, week of Jan 29th, due Feb 5th (postscript), Solutions (postscript)
    Worksheet 4, week of Feb 5th due Feb 12th (postscript), Solutions (postscript), example/demo (postscript)
    Worksheet 5, week of Feb 12th, due Feb 19th (postscript), Solutions (postscript)
    Worksheet 6, week of Feb 19th, due Feb 26th (postscript), Solutions (postscript)
    Worksheet 7, week of Feb 26th,  due  Mar 12th (postscript), Solutions (postscript)
    March 5th - 9th Spring Break!
    March 12-16th Computer Labs Cancelled!
    Worksheet 8, week of  Mar 19th, due Mar 26th (postscript), Solutions (postscript)
    Worksheet 9, week of Mar 26th, due April 2nd (postscript), Solutions (postscript)
    Worksheet 10, week of April 2nd, due April 9th (postscript), Solutions (postscript)
    Worksheet 11, week of April 9th, due April 16th (postscript), Solutions (postscript)
    Worksheet 12,  week of April 16th, Mock Exam, solutions (postscript)
    Exam week of April 23rd

    Textbooks

  • There is no required text.
  • Recommended text: The Mathematica Book, third edition, by Stephen Wolfram (Cambridge).  This is a very comprehensive book written by the author/inventor of Mathematica.  It is primarily a reference book.  It is available online in its entirety and is included in electronic form as part of the extensive online help in the Mathematica program itself so there is not really any need to buy it.
  • Recommended text: There are various Mathematica books written by scientists and engineers which are not so pedagogical and more focussed on how Mathematica can be used to solve science problems.  One example is Mathematica for Scientists and Engineers by Richard Gass (Prentice Hall).   Another is Mathematica for Physics by  Robert L. Zimmerman and Fredrick I. Olness (Addison-Wesley).  There are numerous other ones.  Mostly they come with floppy discs or CD's containing examples so you don't have to type them in by hand.

    • Helpfiles for PHY102

    Mathematica has an awesomely powerful (and therefore non-trivial to use) online help built in.  Part of the course will be to learn how to use this help effectively and you are encouraged and expected to use the help whenever and wherever possible so you get comfortable and quick at using it.  This may prove to be important in the timed exam and will pay big dividends as you use Mathematica later.
     
  • Getting started with Linux:  Linux is the operating system on these computers.  For those of you who haven't heard of it it is a free operating system for PCs that was developed first by Linus Torvalds, a Finnish student (not much else to do in the winter up there than write new operating systems), then by an international community of free software freaks.  It can be downloaded for free from the internet and there is a lot of free software being developed by people all over the world.  Check out www.linux.org and www.gnu.org to get a taste of what it is all about. It is basically a form of UNIX for PCs.  If you are not familiar with unix then the "Introduction to Linux Computing in rm346 Giltner Hall" might help.  Modern versions of linux look a lot like Microsoft windows which means that it is easier to get started with unix/linux these days.
  • Starting mathematica: (a) in a terminal window (click on the "screen" icon at the bottom of the screen to get a terminal window) type "mathematica" and hit return (b) using the mouse, click on the "foot" at the bottom of the screen then holding the mouse button down slide the mouse to select "programs" -> "applications" -> "wolfram mathematica"
  • Getting Started: This is a Mathematica "notebook" with information about basic Mathematica usage and some pitfalls to avoid. Download the file and save it locally. Start Mathematica then load this notebook by mouse-clicking on file->open.  This notebook contains useful hints and examples of common mistakes of first-time Mathematica users.  The most common mistakes are tiny tiny syntax errors that cause the program to go crazy.    Some syntax errors result in errors so you know there is a problem.  Others do not result in errors but the program calculates some meaningless or incorrect expression and proudly presents you with lots of garbage on the screen.  Another thing that can trip you up is that Mathematica has a very long memory.  If you define a variable (e.g., y=Sin[x]) Mathematica will remember forever, or until you explicitly redefine or clear the definition, that y is sin(x).  If, half an hour later, you use "x" in some other context it can lead to some very interesting, unexpected and perplexing results.  The "getting started" notebook tells how to deal with this.  You will save yourself a lot of time in the long run by going through it.
  • Also try Introduction to Mathematica (Written by Ellen Lau)

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    346 Giltner:
    You will find that 346 Giltner is open at other times than those listed above.  In general, as long as the room is open you are welcome to go in and use the computers for your PHY102 classwork but remember that other classes use the lab and outside of our regular lab-times you are a guest.  If another instructor needs the computer or is lecturing you may be asked to leave. Needless to say these computers are subject to the Physics Department and the University acceptable use policies:
    http://www.ps.msu.edu/reference/msupa_acc_use_policy.html

    Office Hours
    Please call (353-8697) or email (billinge@pa.msu.edu) me for an appointment or just drop by my office.
    I will also be available to answer questions and help out Thursdays 8-11 am.  Try
    to find me in 346 Giltner first, and failing that my office.