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Continuing Education - Undergraduate Credit

Summer 2014 Credit Courses: Mathematics

The most recent syllabi available can be found in our syllabus bank.

online courses iconMathematics 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.
Note: This course is 100 percent online; please visit for details.
MAT1060 / 4 credits
Barbara McMullen
Session II: June 9–July 24

Prepares students with limited backgrounds in high school mathematics for calculus. Topics include absolute values and inequalities, the properties of functions, graphs, logarithms, fractional exponents, and trigonometry.
MAT1150 / 4 credits
Stephen Kleinman
Mon.–Thurs., 1–4:10 p.m.
Session IV (Intensive): July 7–31
Natural Sciences Bldg., Room 1030 (changed 6/10/2014)

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: MAT 1150 or equivalent
MAT1500 / 4 credits
Kenneth Schoeller
Mon. & Wed., 6:30–10:05 p.m.
Session II: June 9–July 23
Natural Sciences Bldg., Room 1030 (changed 6/10/2014)

Calculus II
A continuation of MAT 1500. 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: MAT 1500 or equivalent
MAT1510 / 4 credits
Roger Tsai
Tues. & Thurs., 1–4:35 p.m.
Session II: June 10–July 24
Natural Sciences Bldg., Room 1029 (changed 6/10/2014)

online courses iconBehavioral 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 percent online; please visit for details. It is intended to fulfill the statistics requirement for psychology majors. It may also be used to satisfy the statistics requirement for economics and environmental studies majors, and it counts as a basic science support course for biology majors.
PSY2320 / 4 credits
Peggy De Cooke
Session I (Intensive): May 19–June 6

Updated June 10, 2014

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