Entries tagged with “statistics” from Cotangents

The Mathematical Sciences and Work Environment Departments recently completed the design of a five-year program leading to a Bachelor of Science in Mathematics and a Master's in Public Health in Epidemiology. Juniors can apply to the program and double-count up to nine credits toward the two degrees. A bit of planning is recommended since appliants are advised to take a few courses as undergraduates, such as Anatomy and Physiology I & II. 

With the outbreak of Ebola in the U.S. last fall, epidemiologists have had their work cut out for them. Whether they investigate the triggers of an infection for a public health agency or collect blood samples at an outpatient care center, epidemiologists examine the causes of diseases to prevent them from transmitting and recurring. These medical scientists might work in hospitals, laboratories or universities, or for pharmaceutical companies or health insurers. 

The Bureau of Labor Statistics predicts employment growth of about 13 percent between 2012 and 2022. Job prospects look promising, especially for medical scientists looking to work for state or local governments and general medical or surgical hospitals.

This fall, we have welcomed Dr. Jong Soo Lee to our department.  Dr.  Lee is  a statistician who was most recently at the University of Delaware.   His general research areas are functional data analysis, nonparametric statistics and the application of statistics. 

Jong Soo earned his Ph. D.  at Rice University with a thesis titled Aspects of Functional Data Inference and Its Applications (Advisor: Dennis Cox).


I attended a panel discussion on curriculum guides at the 2014 Joint Mathematics Meetings last week.  Here are a few comments on them.
  • The CUPM Curriculum Guide is produced by the MAA Committee on the Undergraduate Program in Mathematics to guide mathematics departments in designing curricula for their undergraduate students. The 2004 version was the last to come out.  The new version will be out in 2015.  We were told that a draft will appear at maa.org/cupm in the near future.
  • In 2012, the Conference Board of the Mathematical Sciences issued the latest recommendations for teacher preparation in mathematics: The Mathematical Education of Teachers II (MET2).  A few highlights of the new recommendations:
    1. Elementary teachers should take four mathematics courses on elementary school mathematics.  This doesn't mean that the mathematics they are taught are elementary.  The objective is to give teachers a deeper understanding of the mathematics that is taught in elementary grades.  For example, while an elementary school teacher may teach division, coursework might include continued fractions or a study of the periodic nature of decimal fractions.
    2. Recommendations for middle school teachers include at least 24 credits of mathematics, including at least 15 credits designed specifically for future middle grades teachers that address essential ideas in the middle school curriculum.
    3. It is still recommended that prospective High school teachers complete coursework equivalent to that of a mathematics major.   One change is that at least nine credits involve advanced study of secondary mathematics.
  • The American Statistical Association (ASA) will be releasing The Statistical Education of Teachers (SET) in 2014.  It is expected to put a greater emphasis on data analysis.
I think that a few developments at UMass Lowell have put us in a good position with respect to these recommendations.  A few years ago, the College of Education and Mathematical Sciences Department collaborated with other UMass campuses on the development of mathematics courses for prospective elementary school teachers. This gives us a good start toward being in line with recommendations at that level.

UTeach UMass Lowell helps us at the middle and high school levels.  Functions and Modeling (92.210), which is required for mathematics certification, revisits many high school topics from an advanced point of view.  Research Method (UTL.302), which is required of all UTeach students, is a data analysis course that matches both MET2 and SET recommendations.  Finally, the inquiry-based approach that many UTeach courses emphasize is consistent with that of all three curriculum guides.

There will be more for us to do to address these recommendations, but I think we are on the right track!

Subscribe to feed Subscribe to this blog's feed

Subscribe to feed Search results matching “statistics”