This is a very useful summary regarding the statistics classes offered at UMD. I know that all of my current students have taken their out of department classes already, so I am simply posting this for future generations, and your information.
-- Ted Pedersen http://www.d.umn.edu/~tpederse ---------- Forwarded message ---------- Date: Wed, 31 Aug 2005 09:48:44 -0500 From: Ron Regal <[EMAIL PROTECTED]> To: [EMAIL PROTECTED] Cc: [EMAIL PROTECTED] Subject: Graduate Statistics Classes To: CS Faculty and Graduate Students Re: Graduate Statistics Classes Some CS grad students have enquired about the ANOVA class (STAT 5411). I suggested that they talk to their advisors in deciding if the ANOVA class is really what fits their needs best. The catalog descriptions and prerequisites are instructive. To put things in further perspective, here is some brief info about what distinguishes the graduate level STAT classes. - Stat 5531 studies probability models pertinent to CS students. Many CS grad students have taken this class over the years. Offered every spring. - Stat 5571 (Probability) and Stat 5572 (Statistical Inference) are really a single class (from a single textbook) that would often be called Mathematical Statistics. The probability in 5571 is the probability tools needed for in depth study of statistics. Offered every fall (5571), spring (5572). - Stat 5531, 5571 and 5572 are math centered courses much like other math courses. - Stat 5411 (ANOVA), Stat 5511 (Regression) and Stat 5515 (Multivariate) are applied courses involving analysis of data. - Stat 5411 involves design and analysis of experiments looking at how factors affect an output. The class is taken largely by biological/medical science students and our own majors. For example one might investigate how allergic responses are affected by age of sensitization or sex. Stat 5411 is the least mathematical of the 5000 level classes. This can be a disadvantage for foreign students who are more accustomed to math courses than analysis of data. The student should have seen basic statistical concepts such as confidence intervals and t-tests. Computing software: SAS. Offered every fall. - Stat 5511 is a standard multiple regression class with matrix algebra and data analysis components. Computing software: SAS. Offered every spring. - Stat 5515 studies aspects such as clustering, principal components, discriminant analysis, and crossvalidation. This is the most mathematical of the 5000 level courses involving matrix algebra such as singular value decomposition, but the focus of the course is applications. For graduate students either 5411, 5515 or equivalent is a sufficient prerequisite. Computing: SAS and R/Splus. Offered odd falls, including the current semester. If you have any further questions, feel free to call or email me. Ron Regal SCC 140 Department of Mathematics and Statistics University of Minnesota Duluth 10 University Drive Duluth, MN 55812 (218)726-7558 http://www.d.umn.edu/~rregal ------------------------ Yahoo! Groups Sponsor --------------------~--> Give at-risk students the materials they need to succeed at DonorsChoose.org! http://us.click.yahoo.com/Z1lQfA/LpQLAA/HwKMAA/x3XolB/TM --------------------------------------------------------------------~-> Yahoo! Groups Links <*> To visit your group on the web, go to: http://groups.yahoo.com/group/nlpatumd/ <*> To unsubscribe from this group, send an email to: [EMAIL PROTECTED] <*> Your use of Yahoo! Groups is subject to: http://docs.yahoo.com/info/terms/
