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Rash, Agnes M.; Fillebrown, Sandra – PRIMUS, 2016
This article describes various courses designed to incorporate mathematical proofs into courses for non-math and non-science majors. These courses, nicknamed "math beauty" courses, are designed to discuss one topic in-depth rather than to introduce many topics at a superficial level. A variety of courses, each requiring students to…
Descriptors: Mathematics Curriculum, General Education, Mathematics Instruction, Mathematics Education
Massachusetts Department of Elementary and Secondary Education, 2017
This Framework builds upon the foundation of the 2010 Massachusetts Curriculum Framework for Mathematics as well as versions of the Massachusetts Mathematics Framework published since 1995. The current Framework incorporates improvements suggested by Massachusetts educators after six years of experience in implementing the 2010 standards in their…
Descriptors: Elementary School Mathematics, Middle School Mathematics, Secondary School Mathematics, Preschool Education
Kolpas, Sid – MathAMATYC Educator, 2011
Augustus De Morgan (1806-1871) was a significant Victorian Mathematician who made contributions to mathematics history, mathematical recreations, mathematical logic, calculus, and probability and statistics. He was an inspiring mathematics professor who influenced many of his students to join the profession. One of De Morgan's significant books…
Descriptors: Probability, Algebra, Mathematical Formulas, Logical Thinking
The Mathematics of Networks Science: Scale-Free, Power-Law Graphs and Continuum Theoretical Analysis
Padula, Janice – Australian Senior Mathematics Journal, 2012
When hoping to initiate or sustain students' interest in mathematics teachers should always consider relevance, relevance to students' lives and in the middle and later years of instruction in high school and university, accessibility. A topic such as the mathematics behind networks science, more specifically scale-free graphs, is up-to-date,…
Descriptors: Teaching Methods, Graphs, Mathematics Instruction, Mathematics Teachers
Griffiths, Barry J.; Haciomeroglu, Erhan Selcuk – International Journal of Mathematical Education in Science and Technology, 2014
To ensure the competitiveness of the USA in the global economy, and its role as a leader in science and engineering, it is important to cultivate the next generation of home grown mathematicians. However, while universities across the USA offer calculus classes to thousands of undergraduate students each year, very few of them go on to major in…
Descriptors: Mathematics, Calculus, Undergraduate Students, Undergraduate Study
McGaughy, Charis; de Gonzalez, Alicia – Educational Policy Improvement Center (NJ1), 2012
The Educational Policy Improvement Center (EPIC) conducted an investigation of the Intersegmental Committee for the Academic Senates (ICAS) Statements of Competencies for Mathematics and Academic Literacy. The purpose of this work is to understand how the ICAS competencies relate to college and career readiness, as represented by the augmented…
Descriptors: Academic Standards, State Standards, Alignment (Education), Competence
Nelson, Karen C.; Marbach-Ad, Gili; Schneider, Katie; Thompson, Katerina V.; Shields, Patricia A.; Fagan, William F. – Journal of College Science Teaching, 2009
Historically, biology has not been a heavily quantitative science, but this is changing rapidly (Ewing 2002; Gross 2000; Hastings and palmer 2003; Jungck 2005; Steen 2005). Quantitative approaches now constitute a key tool for modern biologists, yet undergraduate biology courses remain largely qualitative and descriptive. Although biology majors…
Descriptors: Majors (Students), Biology, Statistical Analysis, Interdisciplinary Approach
McGaughy, Charis; de Gonzalez, Alicia – Educational Policy Improvement Center (NJ1), 2012
The California Department of Education is in the process of revising the Career and Technical Education (CTE) Model Curriculum Standards. The Educational Policy Improvement Center (EPIC) conducted an investigation of the draft version of the Health Sciences and Medical Technology Standards (Health Science). The purpose of the study is to…
Descriptors: Academic Standards, State Standards, Alignment (Education), Vocational Education
Laha, Arnab Kumar – International Journal of Mathematical Education in Science & Technology, 2006
In this note a new proof of the divergence of the harmonic series is given based on the expected life of a parallel system with independent exponentially distributed component lifetimes.
Descriptors: Probability, Theories, Mathematics, Validity
Kinney, John J. – Teaching Statistics: An International Journal for Teachers, 2005
This article gives a method of finding discrete approximations to continuous probability density functions and shows examples of its use, allowing students without calculus access to the calculation of means and variances.
Descriptors: Probability, Calculus, Statistical Analysis, Mathematics
Ogborn, Jon – Mathematics Teaching, 1974
The characteristic shape of the normal distribution, one hump and two tails, is discussed. The reasoning is based on variation, combinations, probability, and logarithms. The purpose is to be able to answer some of the "whys" students might ask. (LS)
Descriptors: Calculus, College Mathematics, Instruction, Mathematics
Peer reviewedIacobacci, Rora – Mathematics Teacher, 1972
Descriptors: Calculus, College Mathematics, Instruction, Mathematical Applications
Peer reviewedWatson, Jane M. – Mathematics Teacher, 1978
A magazine article is shown to contain material that could lead to discussions of several topics in mathematics. The article and the related mathematics are discussed in detail. (MP)
Descriptors: Calculus, Current Events, Graphs, Instruction
Peer reviewedGreger, Karl – Two-Year College Mathematics Journal, 1974
Descriptors: Calculus, College Mathematics, Mathematical Concepts, Mathematics
Peer reviewedGordon, Sheldon P.; Gordon, Florence S. – AMATYC Review, 1990
Discusses the application of probabilistic ideas, especially Monte Carlo simulation, to calculus. Describes some applications using the Monte Carlo method: Riemann sums; maximizing and minimizing a function; mean value theorems; and testing conjectures. (YP)
Descriptors: Calculus, College Mathematics, Functions (Mathematics), Higher Education
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