# COLLEGE OF ARTS & SCIENCES MATHEMATICS (2023)

MATH 098 Intermediate Algebra (0)
Intermediate algebra equivalent to third semester of high school algebra. Includes linear equations and models, linear systems in two variables, quadratic equations, completing the square, graphing parabolas, inequalities, working with roots and radicals, distance formula, functions and graphs, exponential and logarithmic functions. Course awarded as transfer equivalency only. Consult the Admissions Equivalency Guide website for more information.
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MATH 112 Application of Calculus to Business and Economics (5) NW, QSR
Rates of change, tangent, derivative, accumulation, area, integrals in specific contexts, particularly economics. Techniques of differentiation and integration. Application to problem solving. Optimization. Credit does not apply toward a mathematics major. Prerequisite: minimum grade of 2.0 in MATH 111. Offered: WSp.
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MATH 208 Matrix Algebra with Applications (3) NW
Systems of linear equations, vector spaces, matrices, subspaces, orthogonality, least squares, eigenvalues, eigenvectors, applications. For students in engineering, mathematics, and the sciences. Prerequisite: minimum grade of 2.0 in MATH 126. Offered: AWSpS.
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MATH 300 Introduction to Mathematical Reasoning (3) NW
Mathematical arguments and the writing of proofs in an elementary setting. Elementary set theory, elementary examples of functions and operations on functions, the principle of induction, counting, elementary number theory, elementary combinatorics, recurrence relations. Prerequisite: minimum grade of 2.0 in either MATH 126 or MATH 136. Offered: AWSpS.
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MATH 318 Advanced Linear Algebra Tools and Applications (3)
Eigenvalues, eigenvectors, and diagonalization of matrices: nonnegative, symmetric, and positive semidefinite matrices. Orthogonality, singular value decomposition, complex matrices, infinite dimensional vector spaces, and vector spaces over finite fields. Applications to spectral graph theory, rankings, error correcting codes, linear regression, Fourier transforms, principal component analysis, and solving univariate polynomial equations. Prerequisite: a minimum grade of 2.7 in either MATH 208 or MATH 308, or a minimum grade of 2.0 in MATH 136.
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MATH 327 Introductory Real Analysis I (3) NW
Covers number systems, fields, order, the least upper bound property, sequences, limits, liminf and limsup, series, convergence tests, alternating series, absolute convergence, re-arrangements of series, continuous functions of a real variable, and uniform continuity. Prerequisite: a minimum grade of 2.0 in either MATH 300 or MATH 334. Offered: AWSpS.
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MATH 328 Introductory Real Analysis II (3) NW
Limits and continuity of functions, sequences, series tests, absolute convergence, uniform convergence. Power series, improper integrals, uniform continuity, fundamental theorems on continuous functions, theory of the Riemann integral. Prerequisite: minimum grade of 2.0 in MATH 327.
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MATH 334 Accelerated [Honors] Advanced Calculus (5) NW
Introduction to proofs and rigor; uniform convergence, Fourier series and partial differential equations, vector calculus, complex variables. Students who complete this sequence are not required to take MATH 209, MATH 224, MATH 300, MATH 327, MATH 328, and MATH 427. Second year of an accelerated two-year sequence; prepares students for senior-level mathematics courses. Prerequisite: either a minimum grade of 2.0 in MATH 136, or a minimum grade of 3.0 in MATH 126 and a minimum grade of 3.0 in either MATH 207 or MATH 307 and a minimum grade of 3.0 in either MATH 208 or MATH 308. Offered: A.
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MATH 335 Accelerated [Honors] Advanced Calculus (5) NW
Introduction to proofs and rigor; uniform convergence, Fourier series and partial differential equations, vector calculus, complex variables. Students who complete this sequence are not required to take MATH 209, MATH 224, MATH 300, MATH 327, MATH 328, and MATH 427. Second year of an accelerated two-year sequence; prepares students for senior-level mathematics courses. Prerequisite: a minimum grade of 2.0 in MATH 334. Offered: W.
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(Video) Mathematics | The College of Arts & Sciences | Valdosta State University

MATH 336 Accelerated [Honors] Advanced Calculus (5) NW
Introduction to proofs and rigor; uniform convergence, Fourier series and partial differential equations, vector calculus, complex variables. Students who complete this sequence are not required to take MATH 209, MATH 224, MATH 300, MATH 327, MATH 328, and MATH 427. Second year of an accelerated two-year sequence; prepares students for senior-level mathematics courses. Prerequisite: a minimum grade of 2.0 in MATH 335. Offered: Sp.
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MATH 340 Abstract Linear Algebra (3) NW
Linear algebra from a theoretical point of view. Abstract vector spaces and linear transformations, bases and linear independence, matrix representations, Jordan canonical form, linear functionals, dual space, bilinear forms and inner product spaces. Prerequisite: a minimum grade of 2.0 in either MATH 334, or both MATH 208 and MATH 300.
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MATH 381 Discrete Mathematical Modeling (3) NW
Introduction to methods of discrete mathematics, including topics from graph theory, network flows, and combinatorics. Emphasis on these tools to formulate models and solve problems arising in variety of applications, such as computer science, biology, and management science. Prerequisite: a minimum grade of 2.0 in either CSE 142, CSE 143, or AMATH 301; and a minimum grade of 2.0 in either MATH 136 or MATH 208. Offered: AW.
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MATH 396 Finite Markov Chains and Monte-Carlo Methods (3) NW
Finite Markov chains; stationary distributions; time reversals; classification of states; classical Markov chains; convergence in total variation distance and L2; spectral analysis; relaxation time; Monte Carlo techniques: rejection sampling, Metropolis-Hastings, Gibbs sampler, Glauber dynamics, hill climb and simulated annealing; harmonic functions and martingales for Markov chains. Prerequisite: a minimum grade of 2.0 in MATH 208; and either a minimum grade of 2.0 in MATH 394/STAT 394 and STAT 395/MATH 395, or a minimum grade of 2.0 in STAT 340 and STAT 341, or a minimum grade of 2.0 in STAT 340 and STAT 395/MATH 395. Offered: jointly with STAT 396; Sp.
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MATH 402 Introduction to Modern Algebra (3) NW
Elementary theory of rings and fields: basic number theory of the integers, congruence of integers and modular arithmetic, basic examples of commutative and non-commutative rings, an in depth discussion of polynomial rings, irreducibility of polynomials, polynomial congruence rings, ideals, quotient rings, isomorphism theorems. Additional topics including Euclidean rings, principal ideal domains and unique factorization domains may be covered. Prerequisite: either a minimum grade of 2.0 in MATH 300 and a minimum grade of 2.0 in either MATH 208 or MATH 308, or a minimum grade of 2.0 in MATH 334. Offered: AWS.
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MATH 403 Introduction to Modern Algebra (3) NW
Elementary theory of groups: basic examples of finite and infinite groups, symmetric and alternating groups, dihedral groups, subgroups, normal subgroups, quotient groups, isomorphism theorems, finite abelian groups. Additional topics including Sylow theorems, group actions, congugacy classes and counting techniques may be covered. Prerequisite: a minimum grade of 2.0 in MATH 402. Offered: WSp.
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MATH 424 Fundamental Concepts of Analysis (3) NW
Focuses on functions of a real variable, including limits of functions, differentiation, Rolle's theorem, mean value theorems, Taylor's theorem, and the intermediate value theorem for derivatives. Riemann-Stieltjes integrals, change of variable, Fundamental Theorem of Calculus, and integration by parts. Sequences and series of functions, uniform convergence, and power series. Prerequisite: either a minimum grade of 2.0 in MATH 327, or a minimum grade of 2.0 in MATH 335. Offered: AWSpS.
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MATH 425 Fundamental Concepts of Analysis (3) NW
Introduction to metric spaces and multivariable differential calculus: Euclidean spaces, abstract metric spaces, compactness, Bolzano-Weierstrass property, sequences and their limits, Cauchy sequences and completeness, Heine-Borel Theorem, continuity, uniform continuity, connected sets and the intermediate value theorem. Derivatives of functions of several variables, chain rule, mean value theorem, inverse and implicit function theorems. Prerequisite: a minimum grade of 2.0 in either MATH 136 or MATH 208; and a minimum grade of 2.0 in either MATH 335 or MATH 424. Offered: WSp.
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MATH 442 Differential Geometry (3) NW
Examines curves in the plane and 3-spaces, surfaces in 3-space, tangent planes, first and second fundamental forms, curvature, the Gauss-Bonnet Theorem, and possible other selected topics. Prerequisite: either minimum grade of 2.0 in MATH 334, or a minimum grade of 2.0 in MATH 208 and a minimum grade of 2.0 in MATH 224; and minimum grade of 2.0 in MATH 441. Offered: W.
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MATH 444 Introduction to Geometries I (3) NW
Concepts of geometry from multiple approaches; discovery, formal and informal reasoning, transformations, coordinates, exploration using computers and models. Topics selected from Euclidean plane and space geometry, spherical geometry, non-Euclidean geometries, fractal geometry. Prerequisite: either a minimum grade of 2.0 in MATH 334, or a minimum grade of 2.0 in MATH 208 and MATH 300. Offered: WS.
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MATH 445 Introduction to Geometries II (3) NW
Concepts of geometry from multiple approaches; discovery, formal and informal reasoning, transformations, coordinates, exploration using computers and models. Topics selected from Euclidean plane and space geometry, spherical geometry, non-Euclidean geometries, fractal geometry. Prerequisite: a minimum grade of 2.0 in MATH 444. Offered: SpS.
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MATH 461 Combinatorial Theory I (3) NW
Basic counting techniques and combinatorial objects. Topics may include permutations, sets, multisets, compositions, partitions, graphs, generating functions, the inclusion-exclusion principle, bijective proofs, and recursions. Prerequisite: a minimum grade of 2.0 in MATH 334, or a minimum grade of 2.0 in MATH 300 and a minimum grade of 2.0 in either MATH 136 or MATH 208.
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MATH 462 Combinatorial Theory II (3) NW
Structural theorems and methods in combinatorics, including those from extremal combinatorics and probabilistic combinatorics. Topics may include graphs, trees, posets, strategic games, polytopes, Ramsey theory, and matroids. Prerequisite: minimum grade of 2.0 in MATH 461 or CSE 421.
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MATH 464 Numerical Analysis I (3) NW
Basic principles of numerical analysis, classical interpolation and approximation formulas, finite differences and difference equations. Numerical methods in algebra, systems of linear equations, matrix inversion, successive approximations, iterative and relaxation methods. Numerical differentiation and integration. Solution of differential equations and systems of such equations. Prerequisite: a minimum grade of 2.0 in either MATH 136, MATH 208, or MATH 335. Offered: A.
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MATH 465 Numerical Analysis II (3) NW
Basic principles of numerical analysis, classical interpolation and approximation formulas, finite differences and difference equations. Numerical methods in algebra, systems of linear equations, matrix inversion, successive approximations, iterative and relaxation methods. Numerical differentiation and integration. Solution of differential equations and systems of such equations. Prerequisite: minimum grade of 2.0 in MATH 464. Offered: W.
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MATH 466 Numerical Analysis III (3) NW
Basic principles of numerical analysis, classical interpolation and approximation formulas, finite differences and difference equations. Numerical methods in algebra, systems of linear equations, matrix inversion, successive approximations, iterative and relaxation methods. Numerical differentiation and integration. Solution of differential equations and systems of such equations. Prerequisite: a minimum grade of 2.0 in either MATH 136, both MATH 207 and MATH 208, or MATH 335.
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MATH 491 Introduction to Stochastic Processes (3) NW
Random walks, Markov chains, branching processes, Poisson process, point processes, birth and death processes, queuing theory, stationary processes. Prerequisite: minimum grade of 2.0 in MATH 394/STAT 394 and MATH 395/STAT 395, or minimum grade of 2.0 in STAT 340 and STAT 341 and MATH 396/STAT 396. Offered: jointly with STAT 491; A.
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(Video) 2022 UB College of Arts and Sciences Undergraduate Commencement - Arts, Natural Sciences & Math

MATH 492 Introduction to Stochastic Processes II (3)
Introduces elementary continuous-time discrete/continuous-state stochastic processes and their applications. Covers useful classes of continuous-time stochastic processes (e.g., Poisson process, renewal processes, birth and birth-and-death processes, Brownian motion, diffusion processes, and geometric Brownian motion) and shows how useful they are for solving problems of practical interest. Prerequisite: a minimum grade of 2.0 in MATH 491/STAT 491. Offered: jointly with STAT 492.
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MATH 493 Stochastic Calculus for Option Pricing (3) NW
Introductory stochastic calculus mathematical foundation for pricing options and derivatives. Basic stochastic analysis tools, including stochastic integrals, stochastic differential equations, Ito's formula, theorems of Girsanov and Feynman-Kac, Black-Scholes option pricing, American and exotic options, bond options. Prerequisite: minimum grade of 2.0 in either STAT 395/MATH 395, or a minimum grade of 2.0 in STAT 340 and STAT 341. Offered: jointly with STAT 493.
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MATH 507 Algebraic Structures (3)
First quarter of a three-quarter sequence covering homological algebra, advanced commutative algebra, and Lie algebras and representation theory. Specific topics include chain complexes, resolutions and derived functors, dimension theory, Cohen-Macaulay modules, Gorenstein rings, local cohomology, local duality, triangulated and derived categories, group cohomology, and structure and representation. Prerequisite: MATH 506 or equivalent.
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MATH 508 Algebraic Structures (3)
Second quarter of a three-quarter sequence covering homological algebra, advanced commutative algebra, and Lie algebras and representation theory. Specific topics include chain complexes, resolutions and derived functors, dimension theory, Cohen-Macaulay modules, Gorenstein rings, local cohomology, local duality, triangulated and derived categories, group cohomology, and structure and representation. Prerequisite: MATH 506.
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MATH 509 Algebraic Structures (3)
Third quarter of a three-quarter sequence covering homological algebra, advanced commutative algebra, and Lie algebras and representation theory. Specific topics include chain complexes, resolutions and derived functors, dimension theory, Cohen-Macaulay modules, Gorenstein rings, local cohomology, local duality, triangulated and derived categories, group cohomology, and structure and representation. Prerequisite: MATH 506.
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MATH 514 Networks and Combinatorial Optimization (3)
Mathematical foundations of combinatorial and network optimization with an emphasis on structure and algorithms with proofs. Topics include combinatorial and geometric methods for optimization of network flows, matching, traveling salesmen problem, cuts, and stable sets on graphs. Special emphasis on connections to linear and integer programming, duality theory, total unimodularity, and matroids. Prerequisite: either MATH 208 or AMATH 352; and any additional 400-level MATH course. Offered: jointly with AMATH 514.
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MATH 515 Optimization: Fundamentals and Applications (5)
Maximization and minimization of functions of finitely many variables subject to constraints. Basic problem types and examples of applications; linear, convex, smooth, and nonsmooth programming. Optimality conditions. Saddlepoints and dual problems. Penalties, decomposition. Overview of computational approaches. Prerequisite: Proficiency in linear algebra and advanced calculus/analysis; recommended: Strongly recommended: probability and statistics. Desirable: optimization, e.g. Math 408, and scientific programming experience in Matlab, Julia or Python. Offered: jointly with AMATH 515/IND E 515.
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MATH 527 Functional Analysis (3)
First of three-quarter sequence. Review of Banach, Hilbert, and Lp spaces; locally convex spaces (duality and separation theory, distributions, and function spaces); operators on locally convex spaces (adjoints, closed graph/open mapping and Banach-Steinhaus theorems); Banach algebras (spectral theory, elementary applications); spectral theorem for Hilbert space operators. Working knowledge of real variables, general topology, complex variables.
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MATH 534 Complex Analysis (5)
First quarter of a three-quarter sequence covering complex numbers, analytic functions, contour integration, power series, analytic continuation, sequences of analytic functions, conformal mapping of simply connected regions, and related topics. Prerequisite: MATH 426.
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MATH 544 Topology and Geometry of Manifolds (5)
First quarter of a three-quarter sequence covering general topology, the fundamental group, covering spaces, topological and differentiable manifolds, vector fields, flows, the Frobenius theorem, Lie groups, homogeneous spaces, tensor fields, differential forms, Stokes's theorem, deRham cohomology. Prerequisite: MATH 404 and MATH 426 or equivalent.
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MATH 547 Geometric Structures (3, max. 9)
First quarter of a three-quarter sequence covering differential-geometric structures on manifolds, Riemannian metrics, geodesics, covariant differentiation, curvature, Jacobi fields, Gauss-Bonnet theorem. Additional topics to be chosen by the instructor, such as connections in vector bundles and principal bundles, symplectic geometry, Riemannian comparison theorems, symmetric spaces, complex manifolds, Hodge theory. Prerequisite: MATH 546
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MATH 554 Linear Analysis (5)
First quarter of a three-quarter sequence covering advanced linear algebra and matrix analysis, ordinary differential equations (existence and uniqueness theory, linear systems, numerical approximations), Fourier analysis, introductions to functional analysis and partial differential equations, distribution theory. Prerequisite: MATH 426 and familiarity with complex analysis at the level of MATH 427 (the latter may be obtained concurrently).
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MATH 561 Foundations of Combinatorics (3)
First quarter of a three-quarter sequence on combinatorics, covering topics selected from among enumeration, generating functions, ordered structures, graph theory, algebraic combinatorics, geometric combinatorics, and extremal and probabilistic combinatorics. Prerequisite: familiarity with linear algebra, discrete probability, and MATH 504, 505, 506, which may be taken concurrently.
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MATH 562 Foundations of Combinatorics (3)
Second quarter of a three-quarter sequence on combinatorics, covering topics selected from among enumeration, generating functions, ordered structures, graph theory, algebraic combinatorics, geometric combinatorics, and extremal and probabilistic combinatorics. Prerequisite: MATH 561.
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MATH 563 Foundations of Combinatorics (3)
Third quarter of a three-quarter sequence on combinatorics, covering topics selected from among enumeration, generating functions, ordered structures, graph theory, algebraic combinatorics, geometric combinatorics, and extremal and probabilistic combinatorics. Prerequisite: MATH 562.
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MATH 567 Algebraic Geometry (3)
First quarter of a three-quarter sequence covering the basic theory of affine and projective varieties, rings of functions, the Hilbert Nullstellensatz, localization, and dimension; the theory of algebraic curves, divisors, cohomology, genus, and the Riemann-Roch theorem; and related topics. Prerequisite: MATH 506.
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MATH 584 Applied Linear Algebra and Introductory Numerical Analysis (5)
Numerical methods for solving linear systems of equations, linear least squares problems, matrix eigen value problems, nonlinear systems of equations, interpolation, quadrature, and initial value ordinary differential equations. Prerequisite: either a course in linear algebra or permission of instructor. Offered: jointly with AMATH 584; A.
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(Video) Arts & Sciences: Mathematics and Natural Sciences First-Year Student Registration Information

MATH 586 Numerical Analysis of Time Dependent Problems (5)
Numerical methods for time-dependent differential equations, including explicit and implicit methods for hyperbolic and parabolic equations. Stability, accuracy, and convergence theory. Spectral and pseudospectral methods. Prerequisite: either AMATH 581, AMATH 584/MATH 584, AMATH 585/MATH 585, or permission of instructor. Offered: jointly with AMATH 586/ATM S 581; Sp.
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## FAQs

### What math is required for college? ›

Because most colleges do require 3-4 years of math, including an algebra and a geometry for admission, almost all schools require that a student passes algebra 2 in order to meet that standard.

How can I get better at college math? ›

How to Get Better at Math (While Spending Less Time Studying)
1. Tip #1: Break Down Complex Problems Into Simpler Ones.
2. Tip # 2: Use Simple Numbers.
3. Tip #3: Review the Underlying Concepts.
4. Tip #4: Get Step-by-Step Instructions from an Online Tool.
5. Tip #5: Don't Rush Your Homework.
6. Learning Math Can Be Satisfying.
Aug 13, 2019

Why do I have to take algebra in college? ›

Algebra is a prerequisite for virtually all college-level mathematics courses, such as precalculus, calculus, linear algebra, statistics and probability, and more advanced mathematics courses. An understanding of algebra is also assumed in geometry and trigonometry courses.

Do you do math in college? ›

When you go to college, you'll more than likely have to take at least one mathematics course as part of your general education requirements. Whether it's algebra, geometry, calculus, or statistics, the first math classes that you take in college will present new challenges that you may not have faced in high school.

What is the lowest math in college? ›

Entry-level math in college is considered the stepping stone to more advanced math. Algebra 1, trigonometry, geometry, and calculus 1 are the basic math classes.

Can I skip math in college? ›

Some universities will automatically deny admission to those students, but there are some that will admit them if the students' major is not math related. “A student gets their associate degree diploma and relief that they won't have to take math again at the college or university level,” said Tomes.

Why is college math so hard? ›

“The sequential nature of math coupled with its own vocabulary, need for persistent studying, and the speed at which math is taught in higher education, with approximately 15 weeks in a semester, creates major problems for college students.” All of this mathematical jargon can be tough to retain, so it's important to ...

How can I pass a math test without knowing anything? ›

How To Pass Any Math Test Without Studying! - YouTube

How many hours a day should I study math? ›

For example, in a 3-credit class, you should spend 6-9 hours each week outside of class studying, and for a 4-credit class, you should spend 8-12 hours per week.

What math is higher than college algebra? ›

Precalculus is a more advanced course than College Algebra. The prerequisite for Precalculus is a grade of C or better in College Algebra or the equivalent. By the equivalent, we mean a grade of B or better in one of the high school courses listed in (1) above.

### How much harder is college algebra than high school algebra? ›

High school algebra is about 180 course-hours long. College algebra is about 36 course-hours long. They cover (mostly) the same material but leisure is not an option any more. Rigor is simply the most efficient way to go.

Is algebra 2 equivalent to college algebra? ›

In fact, the standard CA course in American colleges and universities is identical to high school Algebra II. Many students will have completed that course by the end of their junior year in high school.

How can I avoid math in college? ›

Here are popular majors that do not require studying math:
1. Foreign language. A foreign language major trains you to communicate fluently in a new language. ...
2. Music. ...
3. Education. ...
4. English literature. ...
5. Philosophy. ...
6. Communications. ...
7. Anthropology. ...
8. Graphic design.
Jun 30, 2021

What is the easiest course in college? ›

9 Easiest College Classes For Success
1. Film History. If you're imagining that you'll be sitting in a theatre and watching films all the time, then you're only somewhat wrong. ...
2. Creative Writing. There are infinite ways to tell a story. ...
3. Physical Education. ...
4. Psychology. ...
5. Public Speaking. ...
6. Anthropology. ...
7. Art History. ...
8. Acting.
Jul 28, 2020

Can you be successful without math? ›

Although some jobs may require a basic understanding of math, there are plenty of jobs such as in the legal and service industries that don't require extensive math knowledge. Can you be successful without math? Yes, you can be successful without math. Math is important, but it is not the determinant factor to success.

What is the hardest math course? ›

In most cases, you'll find that AP Calculus BC or IB Math HL is the most difficult math course your school offers. Note that AP Calculus BC covers the material in AP Calculus AB but also continues the curriculum, addressing more challenging and advanced concepts.

What is the highest math in college? ›

The highest levels of mathematics in college include graduate courses such as functional analysis and differential geometry, though looking for a “highest level” isn't the right way to do it. Mathematics is a diverse field, with different branches having their own challenging concepts and difficult problems to solve.

What is the highest math course? ›

Though Math 55 bore the official title "Honors Advanced Calculus and Linear Algebra," advanced topics in complex analysis, point-set topology, group theory, and differential geometry could be covered in depth at the discretion of the instructor, in addition to single and multivariable real analysis as well as abstract ...

How do I pass an online math class in college? ›

Top 6 Tips for Success in an Online Math Class
1. 1 - Prepare your nerves. ...
2. 2 - Ease into it. ...
4. 4 - Review before each test. ...
5. 5 - Make your math course part of your routine. ...
6. 6 - You are not alone.

Why do so many students fail math? ›

Lack of Practice

Neglecting to complete out-of-class assignments or not putting the required effort into these assignments is another principal reason students fail math.

### Why do I cry when I do math? ›

Tears or anger: Tears or anger might signal anxiety, especially if they appear only during math. Students with math anxiety tend to be very hard on themselves and work under the harmful and false assumption that being good at math means getting correct answers quickly. These beliefs and thoughts are quite crippling.

Why are some people good at math? ›

It appears they have a competitive advantage because of the cognitive structure, and are more likely to outperform their peers. Researchers studied the brain activity in 28 children between ages 7 and 9 while they were solving arithmetic questions under an MRI, focusing on which parts of the brain would light up.

Can I pass an exam without studying? ›

If you have an upcoming exam that you have not studied for, then you might be seriously concerned about passing it. While studying well in advance of an exam is the best strategy for success, you may still be able to pass an exam if you did not study.

How do I study for maths in 3 days? ›

3 days before a test: Study all vocabulary, do a lot of practice problems, and review any answers you got wrong on homework (60 minutes). 2 days before a test: Review the vocabulary briefly. Perform 10-15 practice problems (45 minutes). 1 day before a test: Review vocabulary.

Is studying 2 hours a day enough? ›

If your class is an hour-long once a week, you need to study that material 2-3 hours per day. Many experts say the best students spend between 50-60 hours of studying per week.

Which time is best to study maths? ›

A new research study has found that students perform better in math classes held in the morning than those held in the afternoon.

When should you stop studying? ›

If you've been studying the same material for an hour, without a break, it's time to stop studying (for now). After an hour of focusing on the same content, our brains begin to process and store less and less information. At this point, you should stop studying and do one of the following: take a 15-minute break.

What are the 4 types of math? ›

The main branches of mathematics are algebra, number theory, geometry and arithmetic. Based on these branches, other branches have been discovered.

What math is higher than calculus? ›

After completing Calculus I and II, you may continue to Calculus III, Linear Algebra, and Differential Equations. These three may be taken in any order that fits your schedule, but the listed order is most common.

Is calculus easier than algebra? ›

Calculus is harder than algebra.

They're about the same in terms of difficulty but calculus is more complex, requiring you to draw on everything you learned in geometry, trigonometry, and algebra.

### Is pre-calculus a college level math? ›

Pretty much everything that's not remedial math counts for college math, so that's basically college algebra, precalc, statistics, calculus, etc.

Is college algebra 1 or 2 semesters? ›

The College Algebra CLEP exam covers material that is often taught in a one-semester college course. High School Algebra 2 covers that same material, but stretches it across a full year.

What math comes after college algebra? ›

Building upon the knowledge gained in college algebra, the last prerequisite for calculus is pre-calculus. This course introduces students to functions and the graphing of functions.

What math can I take instead of algebra 2? ›

The typical order of math classes in high school is:

Geometry. Algebra 2/Trigonometry. Pre-Calculus. Calculus.

What level of math is college algebra? ›

College algebra is a transfer level algebra course offered at many California community colleges and CSU campuses and generally has a prerequisite of intermediate algebra.

Which is harder college algebra or statistics? ›

Statistics requires a lot more memorization and a deeper level of analysis/inference skills while algebra requires little memorization and very little analysis outside of algebraic applications.

Do I need calculus for college? ›

Almost no college or university in the country requires a calculus course for admission. The rare exceptions are science and engineering schools, where the majority of majors actually use calculus.

What Major has no math? ›

Management, business, research, or finance positions often don't require algebra or calculus, but they may require some skill in statistics or other computational skills. If you would like to avoid math altogether, you may consider human services jobs with a strong psychology, counseling, or social welfare component.

Is precalculus required for college? ›

The Difference Between College Algebra and Precalculus

There is no need to take both College Algebra and Precalculus because certain concepts in College Algebra are covered more in-depth in the Precalculus course.

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