Fall 2012 Syllabus

Assistant: Dr. Chabysheva

Office: 353 Marshall W. Alworth Hall (MWAH)

Hours: 4 MW in 195 MWAH and by appointment.

E-mail: jhiller@d.umn.edu

Phone: 218-726-7594

Home page:
http://www.d.umn.edu/~jhiller

** Text**: P.R. Bevington and D.K. Robinson,
*Data Reduction and Error Analysis* 3rd ed.

** Prerequisites**: Phys 2012 or 2016 or equivalent.

** Course outline**:

Week | Chapters | Topics |

1 | 1 | Measurement uncertainties |

2 | 2 | Probability distributions |

3 | 3 | Error analysis |

4,5 | 4 | Estimations |

Exam #1 | 1-4 | Friday, October 5 |

6 | 5 | Monte Carlo methods |

7,8 | 6 | Fits to a line |

9 | 7 | Fits to a polynomial |

10,11 | 8 | Fits to an arbitrary function |

Exam #2 | 5-8 | Friday, November 16 |

12 | 9 | Composite fits |

13 | 10 | Maximum-likelihood method |

14 | 11 | Tests of fits |

15 | Time series analysis | |

Final Exam | 8 am, Monday, December 17. |

** Homework**:
The outline for the semester indicates the chapter(s)
to be read before class meetings for the coming week. Reading
assignments that are more precise will be given in class.
Assignments of homework problems will also be given.

Late work will not be accepted, but snow dates and other closings grant an immediate extension to the next class. If a web site, journal article, or book (including the text) is used in the solution of a problem, it should be cited; all other work on the problem should be your own. Detailed calculations and explanations are expected. Use of MatLab, Mathematica, or other software is encouraged for algebra, calculus, numerical analysis, and graphing; however, a printout of the session should be included with the rest of the assignment. When reporting any numerical results, always include an appropriate number of significant digits and always include units with any dimensionful quantities and on any graph axes.

**Class participation**: Participation is expected. You are
expected to be able to demonstrate your preparation for class
by being able to answer questions. You will also be expected
to work problems in class and discuss the work with
the instructors and other students.

**Laboratory**: During each laboratory you will be expected
to complete a series of exercises and provide a printed
record of what you were able to accomplish. The primary
tool for the exercises will be MatLab.

** Exams**:
There will be two midterms and a final. All exams will be closed book and
closed notes. Useful formulas will be provided. Do bring a calculator.
For the purposes of the exams, the content of the course
is determined by the lectures, laboratory exercises, discussions,
problems, and reading assignments.

** Exam makeup policy**:
If an absence from an exam is anticipated, this should be
discussed with the instructor in advance of the exam. An
equivalent exam will be scheduled as soon as possible for
those justifiably absent. Absence from an exam without
prior permission must be due to uncontrollable circumstances
(explained in writing) in order to be considered justifiable.

** Determination of grades**:
Grades will be determined from four components as follows:

1. Homework | 25% |

2. Laboratory | 20% |

3. Midterm exams | 15% each |

4. Final exam | 25% |

A | 70-100, | B | 55-70, | C | 40-55, | D | 30-40, | F | 0-30. |

** Posting of grades**:
Grades will be posted on an electronic
gradebook,
which can be reached by a direct link from the course
home page.
Your e-mail ID and password will give you access to your entries.

** A note on disabilities**:
Individuals who have any disability, either
permanent or temporary, which might affect their ability to perform in
this class are encouraged to inform the instructor at the start of the
semester. Adaptation of methods, materials, or testing may be made as
required to provide for equitable participation. To learn about the
services that UMD provides to students with disabilities, contact
Disability Resources,
258 Kirby Student Center, extension 6130.

**Academic integrity**: UMD's Student Academic
Integrity Policy can be found at
http://www.d.umn.edu/conduct/integrity.

**Classroom conduct**: UMD's Student Conduct Code can be found at
http://www.d.umn.edu/conduct/code.

Disclaimer: * The views and opinions expressed in this page are strictly
those of the page author. The contents of this page have not been reviewed or
approved by the University of Minnesota.*