Directories
Holloway Hall

Directories

Operator: 410-543-6000

Holdai, Veera

Faculty, Math and Computer Science
Henson Science Hall (HS) 124
410-677-0055 or ext 70055
vxholdaisalisburyedu
Website



Courses  []

2014 Fall

  • MATH 155-501 MOD STATISTICS WITH COMPUT
    Descriptive and inferential analysis of raw data, emphasizing appropriate assumptions, computer use and interpretation. Consideration of parametric and nonparametric methods and comparison of their powers. Intended for students in the social and natural sciences. May not receive credit for more than one: MATH 150, 151, 155 or 213. Prerequisites: High school Algebra II and plane geometry. Three hours per week. Meets General education IVB or IVc (Prior to Fall 2008: IIIB or IIIC).
  • MATH 213-502 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 214-001 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 313-001 SURVEY DESIGN & SAMPLING
    Peculiarities of sampling and inference commonly encountered in business, the social sciences and natural resources management. Methods for selecting the sample from an existing population and ways for circumventing various difficulties. Prerequisite: Statistics course. Three hours per week. Meets General Education IVB or IVC (Prior to Fall 2008: IIIB or IIIC).

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


Awards, Scholarship & Creative Works:  []

Presentations

Holdai, V. (2009). Image reconstruction in multi-channel model under Guassian noise. Presented at the joint AMS/MAA national meetings. Presented at AMS/MAA American Mathematical Society & Mathematical Association of America, Washington, D. C..

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Please send any updates to lahanscom@salisbury.edu.





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