NCSSM COURSE CAtAlOG - North Carolina School of Science and ...

Meeting pattern: Four periods per week including lab.
This course continues the accelerated study of calculus and its applications to
mathematical modeling. Through class discussions, problem solving, laboratory
experiences, and writing assignments students discover the important concepts
of calculus, develop an understanding of these concepts, and use these
concepts in solving realistic problems. This course generally includes the
completion of a substantial mathematical modeling project. Calculators and
computers are used as tools in the course. Topics normally covered include
additional discussion of Taylor series and power series, additional techniques of
integration, improper integrals, and more applications of integrals.
MA430, MA432, and MA434 constitute a comprehensive study of calculus and
include all of the topics on the AP Calculus BC syllabus.
MA440 AP Statistics (Advanced Topics I)
One trimester
Credit: One unit core mathematics or core elective credit.
Corequisite: MA420 AP Calculus BC (I) and permission of the Dean of
Mathematics.
Meeting pattern: Four periods per week.
This course gives advanced students an opportunity to study the ideas and
topics in MA404 AP Statistics (I) in greater depth and at a faster pace. More
emphasis is placed on the development of the mathematical underpinnings,
especially those related to calculus and to the theory of statistics. Additional
topics such as multiple regression are selected to supplement the course.
MA442 AP Statistics (Advanced Topics II)
One trimester)
Credit: One unit core mathematics or core elective credit.
Prerequisite: Final grade of C or higher in MA440 AP Statistics (Advanced Topics
I).
Meeting pattern: Four periods per week.
This course is a faster-paced and more in-depth study of the topics in MA406 AP
Statistics (II). More emphasis is placed on the development of the mathematical
underpinnings of the expected value theorems and the introductory inference
procedures. More sophisticated applications of probability are also included.
The course involves project work that requires students to design and carry out
experiments and analyze results.
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