2019 2020 Student Forum Course for GRE

#1
7th September 2015, 03:23 PM
 Unregistered Guest Posts: n/a
Course for GRE

Will you please provide here Test Content and course Structure for Mathematics subject for Graduate Record Examinations (GRE) ?
#2
7th September 2015, 03:23 PM
 Super Moderator Join Date: May 2012 Posts: 58,013
Re: Course for GRE

As you want I am here providing you Test Content and course Structure for Mathematics subject for Graduate Record Examinations (GRE) .

GRE Test Content and course Structure:
The test consists of approximately 66 multiple-choice questions drawn from courses commonly offered at the undergraduate level.

Approximately 50 percent of the questions involve calculus and its applications — subject matter that is assumed to be common to the backgrounds of almost all mathematics majors.

About 25 percent of the questions in the test are in elementary algebra, linear algebra, abstract algebra, and number theory. The remaining questions deal with other areas of mathematics currently studied by undergraduates in many institutions.

CALCULUS — 50%

Material learned in the usual sequence of elementary calculus courses — differential and integral calculus of one and of several variables — including calculus-based applications and connections with coordinate geometry, trigonometry, differential equations and other branches of mathematics.

ALGEBRA — 25%
Elementary algebra: basic algebraic techniques and manipulations acquired in high school and used throughout mathematics
Linear algebra: matrix algebra, systems of linear equations, vector spaces, linear transformations, characteristic polynomials, and eigenvalues and eigenvectors
Abstract algebra and number theory: elementary topics from group theory, theory of rings and modules, field theory, and number theory

Introductory real analysis: sequences and series of numbers and functions, continuity, differentiability and integrability, and elementary topology of R and Rn

Discrete mathematics: logic, set theory, combinatorics, graph theory, and algorithms
Other topics: general topology, geometry, complex variables, probability and statistics, and numerical analysis

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