Directories
Holloway Hall

Directories

Operator: 410-543-6000

Wainwright, Barbara

Faculty, Math and Computer Science
Henson Science Hall (HS) 118
410-543-6477 or ext 36477
bawainwrightsalisburyedu
Website



Courses  []

2014 Spring

  • MATH 213-002 STATISTICAL THINKING
    Descriptive and inferential analysis of data, emphasizing appropriate assumptions, computer use and interpretation. Parametric and non parametric methods will be compared and contrasted throughout the course. May not receive credit for more than one: MATH 150, 151, 155 or 213. Concurrent registration with MATH 214 is required. Prerequisites or corequisites: MATH 214 and 160 or 201. Three hours per week.
  • MATH 214-002 STATISTICS LABORATORY
    Laboratory activities to reinforce topics covered in MATH 213. Must be taken during the same semester that students register for MATH 213. Students having completed MATH 155 or equivalent may also take MATH 214. Two hours laboratory per week.
  • MATH 380-001 INTERNSHIP
    Students work under supervisors in a local firm or public institution in conjunction with an advisor from the math department. Cross-listed with COSC 380. MATH/COSC 380 may be taken twice for a maximum of six credits, but used only once toward a major in mathematics or computer science. Prerequisite: Approval of department chair. Eight-to-ten hours per week. (P/F)
  • MATH 493-001 ADV TOPICS IN STATISTICS
    Study in specialized areas of statistics such as time series, stochastic processes, quality control designs and analyses or other topics suggested by faculty or students. May be repeated once under different subtitles recorded by the registrar. Prerequisites: MATH 213 (or equivalent proficiency in statistics) and permission of instructor. May be offered for undergraduate or graduate credit. Three hours per week.
  • MATH 502-601 APPLIED STATISTICS
    The use of linear models in the analysis of data, starting with simple models and going to more complex models. Special attention given to the use and abuse of these models by researchers. Graduate credit only. Prerequisite: A course in statistics (MATH 155 OR MATH 213). Three hours per week.
  • MATH 506-002 SELECTED TOPICS
    Designed for students with a major in mathematics to develop topics in mathematics not included in their undergraduate program, or to extend areas previously studied. Specific topic may be indicated on transcript. May be taken twice under different course subtitles recorded with the registrar. Graduate credit only. Prerequisite: Approval of the department.
  • MATH 593-001 ADV TOPICS IN STATISTICS
    Study in specialized areas of statistics such as time series, stochastic processes, quality control designs and analyses or other topics suggested by faculty or students. May be repeated once under different subtitles recorded by the registrar. Prerequisites: MATH 213 (or equivalent proficiency in statistics) and permission of instructor. May be offered for undergraduate or graduate credit. Three hours per week.

2014 Fall

  • MATH 213-501 STATISTICAL THINKING
    Descriptive and inferential analysis of data, emphasizing appropriate assumptions, computer use and interpretation. Parametric and non parametric methods will be compared and contrasted throughout the course. May not receive credit for more than one: MATH 150, 151, 155 or 213. Concurrent registration with MATH 214 is required. Prerequisites or corequisites: MATH 214 and 160 or 201. Three hours per week.
  • MATH 214-002 STATISTICS LABORATORY
    Laboratory activities to reinforce topics covered in MATH 213. Must be taken during the same semester that students register for MATH 213. Students having completed MATH 155 or equivalent may also take MATH 214. Two hours laboratory per week.
  • MATH 413-001 MATHEMATICAL STATISTICS I
    Axioms and algebra of probability, discrete and continuous random variables, multivariate distributions, limit theorems. May be offered for undergraduate or graduate credit. Prerequisites: MATH 213, 310. Three hours per week.
  • MATH 502-001 APPLIED STATISTICS
    The use of linear models in the analysis of data, starting with simple models and going to more complex models. Special attention given to the use and abuse of these models by researchers. Graduate credit only. Prerequisite: A course in statistics (MATH 155 OR MATH 213). Three hours per week.
  • MATH 513-001 MATHEMATICAL STATISTICS I
    Axioms and algebra of probability, discrete and continuous random variables, multivariate distributions, limit theorems. May be offered for undergraduate or graduate credit. Prerequisites: MATH 213, 310. Three hours per week.

Visit the GullNet Logon Page to logon and view the entire schedule of classes.


Awards, Scholarship & Creative Works:  []

Article(s)

Wainwright, B. A., Tardiff, R. M. & Austin, H. W. 
(2002). 
Making statistics a full partner in mathematical sciences programs. 
PRIMUS: Problems, Resources, & Issues in Mathematics Undergraduate Studies, 
12(1), 
61-74. 
Wainwright, B. A. & Austin, H. W. 
(1997). 
A perspective on teaching elementary statistics. 
PRIMUS: Problems, Resources, & Issues in Mathematics Undergraduate Studies, 
7(2), 
164-174. 

Presentations

Wainwright, B. A., Barzilai, H., & Austin, H. W. (2004). Authentic curriculum for inservice math teachers: Modified lesson plans Presented at MD-DC-VA Section of the MAA

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Please send any updates to smfridie@salisbury.edu.


Press Releases: []

Visit the Press & Publications site for more information.




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