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Sy-Miin Chow; Jungmin Lee; Jonathan Park; Prabhani Kuruppumullage Don; Tracey Hammel; Michael N. Hallquist; Eric A. Nord; Zita Oravecz; Heather L. Perry; Lawrence M. Lesser; Dennis K. Pearl – Journal of Statistics and Data Science Education, 2024
Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…
Descriptors: Individualized Instruction, Instructional Design, Science Education, Higher Education

Nievergelt, Yves – American Mathematical Monthly, 1991
Described are ways that errors of magnitude can be unwittingly caused when using various supercalculator algorithms to solve linear systems of equations that are represented by nearly singular matrices. Precautionary measures for the unwary student are included. (JJK)
Descriptors: Algorithms, Calculators, College Mathematics, Higher Education

Ginat, David – International Journal of Mathematical Education in Science and Technology, 2001
Presents an approach for illustrating, on an intuitive level, the significance of loop invariants for algorithm design and analysis. The illustration is based on mathematical games that require the exploration of regularities via problem-solving heuristics. (Author/MM)
Descriptors: Algorithms, Educational Games, Heuristics, Higher Education
Hector, Judith H. – 1978
The relative effectiveness of three methods of teaching fraction computation in the context of the community college was investigated. The use of calculators was a special focus of the study. The three methods were: (1) conventional algorithms with no calculator, (2) conventional algorithms with calculator, and (3) alternative algorithms using…
Descriptors: Algorithms, Calculators, Community Colleges, Computation

Schwartz, Lowell M. – Journal of Chemical Education, 1985
Shows that the rules of thumb for propagating significant figures through arithmetic calculations frequently yield misleading results. Also describes two procedures for performing this propagation more reliably than the rules of thumb. However, both require considerably more calculational effort than do the rules. (JN)
Descriptors: Algorithms, Chemistry, College Science, Computation

Sumner, A. – International Journal of Mathematical Education in Science and Technology, 1974
Descriptors: Algorithms, College Mathematics, Computer Assisted Instruction, Computers

Herman, Gabor T.; Vitanyi, Paul M. B. – American Mathematical Monthly, 1976
Growth functions involved in mathematical models for biological development are discussed using the algebra of polynomials and matrices. (SD)
Descriptors: Algebra, Algorithms, Biology, College Mathematics

Kiernan, Gerard – College Mathematics Journal, 1985
Provides several algorithms that use extended precision methods to compute large factorials exactly. The programs are written in BASIC and PASCAL. The approach used for computing N considers how large N is, how the built-in limitation on exact integer representation can be bypassed, and how long it takes to compute N. (JN)
Descriptors: Algorithms, College Mathematics, Computation, Computer Software
Mathematics Teaching, 1980
Four different types of problems from graph theory are presented and discussed. (MK)
Descriptors: Algorithms, Graphs, Higher Education, Mathematical Applications

Garofalo, Joe; Durant, Kingsley – School Science and Mathematics, 1991
Teaching which does not in any significant way address the genesis of mathematical ideas hides the fact that mathematics is created by people; that it involves intuition, exploring, conjecturing, and reasoning; and that it is purposeful. Such teaching can give students appearance that much of mathematics is very arbitrary; it just falls from the…
Descriptors: Algorithms, Elementary Secondary Education, Higher Education, Mathematics Education
Computers in the Undergraduate Physical Chemistry Laboratory: A Chemistry/Numerical Methods Approach

Norris, A. C.; Collins, B. A. – International Journal of Mathematical Education in Science and Technology, 1974
Descriptors: Algorithms, Chemistry, College Science, Computers
Voss, David A. – MATYC Journal, 1978
Several algorithms for solving initial value differential equation problems using the definitions of derivative and integral and a computer are discussed. (MN)
Descriptors: Algorithms, College Mathematics, Computer Assisted Instruction, Higher Education
Weide, Bruce W. – 1978
The use of statistical methods in the design and analysis of discrete algorithms is explored. The introductory chapter contains a literature survey and background material on probability theory. In Chapter 2, probabilistic approximation algorithms are discussed with the goal of exposing and correcting some oversights in previous work. Chapter 3…
Descriptors: Algorithms, Computer Science, Higher Education, Mathematics Education
Miller, Eldon L. – MATYC Journal, 1978
Chio's method of evaluating determinants by successive reduction of size is explained. (MN)
Descriptors: Algebra, Algorithms, College Mathematics, Computation

Johnson, R. W.; Waterman, M. S. – International Journal of Mathematical Education in Science and Technology, 1976
In a thesis written for the Doctor of Arts in Mathematics, the connection between Euclid's algorithm and continued fractions is developed and extended to n dimensions. Applications to computer sciences are noted. (SD)
Descriptors: Algorithms, College Mathematics, Computers, Doctoral Dissertations