Spring 2013
SYLLABUS and other useful information
Lecture:  MWF 1111:50am, Hort 118 (Hort lecture hall)  
Instructor:  Philip Dixon
pdixon@iastate.edu 2121 Snedecor Hall
5152942142


Office Hours:  Thursday 34, Friday 12 in 2121 Snedecor  
Grader / office hours:  Senniang Chen, 3211 Snedecor, 46609, Office hours: Thursday 1011  
Questions:  Please feel free to email me (pdixon@iastate.edu), anytime with questions or comments.  
If you have questions about homework answers or homework grades,
please contact Senniang, snchen@iastate.edu first.


Text:  There is no required text for this course. Lectures will follow course notes that will be posted online.  
Optional Texts:  Parts of the course
material are covered in various texts, including: Faraway, J.J. Extending the Linear Model with R West, B.T. et al. Linear Mixed Models: A practical guide using statistical software Shoukri, M.M. and Choudhary, M.A., Analysis of Correlated Data with SAS and R Zuur, A.F. et al. Mixed Effects Models and Extensions in Ecology with R Littell, R.C. et al. SAS for Linear Models Littell, R.C. et al. SAS for Mixed Models Copies are on reserve in Parks Library  
Goals:

This is the first time we have taught the 'new' 511. This is a second semester statistical methods course. We will extend the methods covered in 500. A considerable amount of time will be spent on mixed models, i.e. models with more than one random effect in the model. We will also spend considerable time on models for nonnormal responses. My goal is to provide you with a tool kit for the analysis of many different types of data.  
Along the way:

This will be a rigorous introduction to the art and science of using statistical models to answer scientific questions. Discuss advanced statistical models, how they are used, why they work, how to do the computations, and how to communicate the results. Apply methods to novel situations.  
Prerequisites:  An advanced course in statistical methods: Stat 500 or 402 or 404 A course in statistical theory: Stat 447 or 542 and current enrollment in 543 knowledge of matrix algebra. 

Grading:  Homework / Lab assignments: 110 pts
Two Midterms: 130 pts each Final: 130 pts 
Schedule:
Because this is the first time the 'new' 511 is being taught, I don't have a
firm schedule of topics. We will spend as long as we need on each, although I will
keep a weather eye on our overall progress. The relevant dates are those for the
midterm exams. What is on each midterm will depend on what we have covered by
the end of the specified week. Midterm exams are scheduled in the evenings so we have
a 2 hour block of time for the exam.
Date  Event 
Feb 26  MIDTERM I , to be scheduled in the evening, covering through end of week 5 
Apr 2  MIDTERM II , to be scheduled in evening covers material through end of week 10 
Apr 22  No Class, PMD out of town 
Apr 29  No Class, PMD out of town 
May 6  FINAL (tentative), (Monday) 9:45  11:45 
Details:
Computing:  I will provide R and SAS code for all class examples. I will quickly discuss the R code in class. My intent is to produce videos explaining in detail syntax, output, and options for R and for SAS. If you want more explanation than given in class, please watch the videos and ask questions in office hours. Statistics grad students are expected to know the R version when they take departmental exams. 
Homework:  Homework problems provide practice applying lecture and text material. Discussion with friends and classmates is strongly encouraged. Please write up your answers individually. Copying papers is not a good way to learn. Generally assigned by Saturday morning and due Friday at 5pm. Any changes to due dates will be announced and posted on the web page. No late homework will be accepted. I will drop the lowest homework score. Solutions will be posted on the class web site, shortly after the due date. 
Exams:  Midterms will be held in the evening, because that is
the only time I can arrange
a larger room to provide ample space and a two hour block of time. The final is scheduled at the official time for a Monday 11 am class. I expect you to be present at this time (Monday, May 6, 9:45  11:45). I will make allowances only if the University changes the official time for the final. Buying a ticket to fly home before the scheduled final time is NOT a valid reason for an early final. The final will focus on the material in weeks 1115, but because of the nature of the material, it will include concepts from throughout the course. 
Makeup exams will be given only if you contact me and get approval
prior to the scheduled exam.
All exams are closed book.
This is the first time the "new" version of 511 is being taught. I have provided
exams from the "old" version of 511, but the order and topics this semester
are very different, especially for the first midterm.


Disability accommodation: 
Iowa State University complies with the Americans with Disabilities
Act and Sect 504 of the Rehabilitation Act. If you have a disability
and anticipate needing accommodation(s) in this course, please contact
Philip Dixon within the first two weeks of the semester. Retroactive
requests for accommodations will not be honored. Before meeting with
me, you need to obtain a SAAR form with recommendations for
accommodations from the Disability Resources Office, Room 1076,
Student Services Building. Their telephone number is 5152947220.

Academic Honesty Policy:  The ISU academic honesty policy is printed in the University catalog
and is
available online. To clarify how this applies to your work in
this class:
On homework assignments: I encourage you to help each other interpret the homework problems, write code, debug code, and interpret the output. You may share code, but I encourage you to understand that code even if you didn't write it. I do require you to write your answers in your own words. On exams: You are to do all work individually. I want to see what you can do. 
Other
questions: 
Please ask in class, email me: pdixon@iastate.edu or email the grader: snchen@iastate.edu. 