Mathematics

NEW! Mathematics for Contemporary Life
Students learn basic concepts in quantitative reasoning (number systems, data manipulation, basic statistics), with emphasis on problem solving using computational methods. This course uses a textbook and focuses on applications related to consumer issues to develop computational and problem-solving skills. Students learn to transform data into information and apply quantitative methods to evaluate information and solve real-world problems.
BMA1060.20 / 4 credits
Barbara McMullen
Mon. & Wed., 6:15–10:05 p.m.
Session II: June 13–July 27
Library, Room 0001

Calculus I
The basic concepts of the differential and integral calculus. Focus is on the applicability of these topics to an array of problems.
Prerequisite: Precalculus or equivalent
BMA1500.60 / 4 credits
To be announced
Mon.–Thurs., 1:00–4:20 p.m.
Session III (Intensive): June 13–July 7
Social Sciences Bldg., Room 1039

Calculus II
A continuation of BMA1500. Topics include differentiation and integration of logarithmic, exponential, and inverse trigonometric functions; techniques of integration; arc length; infinite series; and improper integrals. Applications include work, growth, and decay problems and volumes of solids of revolution.
Prerequisite: BMA 1500 or equivalent
BMA1510.60 / 4 credits
To be announced
Mon.–Thurs., 1:00–4:10 p.m.
Session IV (Intensive): July11–Aug. 4
Social Sciences Bldg., Room 1039

Statistics
This introduction to data analysis includes both descriptive and inferential statistics. Descriptive statistics covers introductory data analysis and measures of central tendency, dispersion, and association. Inferential statistics covers probability, hypothesis testing, sampling, and population distribution, and their use in conducting t-tests and one-way ANOVAs. The theory and technique of linear regression and its applications, forecasting, and discriminant analysis are also presented. Some statistical applications are explored in an on-campus computer lab during class hours.
Prerequisite: High school algebra or equivalent
BNS2400.60 / 4 credits
Blair Hoplight
Mon.–Thurs., 1:00–4:10 p.m.
Session IV (Intensive): July 11–Aug. 4
Social Sciences Bldg., Room 1038

Behavioral Statistics
An introduction to data analysis, with coverage of both descriptive and inferential statistics, and an introduction to probability. Class discussions focus on the use of sample, sampling, and population distributions as they are employed in hypothesis testing. Inferential tests include t-tests, ANOVAs, chi square, regression and nonparametric tests.
Note: This course is 100% online; please visit www.purchase.edu/online for details. At Purchase College, this course is intended to fulfill the statistics requirement for psychology majors. It also fulfills (a) the statistics requirement for economics, environmental studies, and sociology majors, and (b) the methodology requirement for students majoring in media, society, and the arts.
BPS2320.60 / 4 credits
Peggy DeCooke
Session I (Intensive): May 23–June 10
*ADDED DUE TO HIGH DEMAND:
BPS2320.61 / 4 credits
Peggy DeCooke
Session Iv (Intensive): July 11–July 29 

Updated May 10, 2011

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