Office Hours

  • Monday: 1:30 - 2:30pm
  • Tuesday: 12:30 - 2:30pm
  • Wednesday: 10:30am - 11:30am, 1:30 - 2:30 pm
  • or by appointment
 

Interests

 

Lisa Smith

Lecturer of

Mathematics

South 325C
1 College Circle
Geneseo, NY 14454
585-245-5140
smithl@geneseo.edu

Lisa Smith

Lisa Smith has been a member of the Geneseo faculty since 2007.

Faculty Information

Education

  • B.A., State University of New York at Geneseo, 2005
  • M.S., Syracuse University, 2007
Fall 2014 Classes

ECON 305:
Quantitative Methods

    This course covers the quantitative analysis tools associated with professional practice in business. This course draws on the fundamental probability and statistics learned in ECON 205. Topics incl
    ude the use of regression analysis, development of forecasting models, and the use of linear programming. The course concludes with a final research project requiring the application of quantitative methods to real-world data. Prerequisites: ECON 205 and junior status. Restricted to School of Business majors and minors. Crosslisted with MGMT 305.
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MATH 222:
Calculus II

    Derivatives and antiderivatives of the transcendental functions, methods of integration, applications of definite integrals, sequences, improper integrals, and series. Prerequisites: MATH 221. Offered
    every semester
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MATH 341:
Probability &AppliedStatistics

    Topics include probability definitions and theorems; discrete and continuous random variables including the binomial, geometric, Poisson, and normal random variables; and the applications of statistic
    al topics such as sampling distributions, estimation, confidence intervals, and tests of hypothesis. Both the theory and applications of probability will be included with applications of statistics. A student may not receive major credit for both MATH 341 and MATH 360. MATH 341 does NOT serve as a prerequisite for MATH 361. Prerequisite: MATH 223 or permission of instructor. Offered every spring
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MGMT 305:
Quantitative Methods

    This course covers the quantitative analysis tools associated with professional practice in business. This course draws on the fundamental probability and statistics learned in ECON 205. Topics incl
    ude the use of regression analysis, development of forecasting models, and the use of linear programming. The course concludes with a final research project requiring the application of quantitative methods to real-world data. Prerequisites: ECON 205 and junior status. Restricted to School of Business majors and minors. Crosslisted with ECON 305.
Read more.