## Mathematics

### Mathematics Courses

**MATH 001. Pre-algebra and Lab. 3 Units.**

This course is designed for students whose Mathematics Placement Test score indicates a need to review arithmetic skills and Pre-algebra material. Topics covered include fractions, decimals, percents, basic area and volume formulas, signed numbers, use of variables in mathematical statements, translating statements in English to mathematical equations, solving linear equations and ratio and proportion. The course is taught using a Personalized System of Instruction. Neither the course credit nor course grade applies towards graduation. Prerequisite is an appropriate test score or permission of instructor.

**MATH 003. Elementary Algebra and Lab. 3 Units.**

Topics covered include signed numbers, linear equations, polynomials, factoring, algebraic fractions, radicals, quadratic equations, inequalities and systems of linear equations. This is an introductory course for students with limited high school background in mathematics. This course is taught using a Personalized System of Instruction. This course is inappropriate for students who have passed the Elementary Algebra placement exam or any higher level placement exam. Neither the course credit nor course grade applies towards graduation. Prerequisite: MATH 001 with a "C" or better or an appropriate test score or permission of instructor.

**MATH 005. Intermediate College Algebra. 3 Units.**

This course is taught in a traditional lecture format. Topics covered in this course include the real number system, solution of linear equations and inequalities, word problems, factoring, algebraic equations, exponents and radicals, quadratic equations, relations, functions, graphs, systems of equations and logarithmic and exponential functions. This course is not appropriate for students who have passed the Intermediate Algebra placement test of any higher level test. Pass/No Credit (P/NC) grading option is not allowed for this course. A grade of C- or better is required to satisfy the University’s Fundamental Skills requirement in quantitative analysis/math. Prerequisite: MATH 003 with a “C-“ or better or an appropriate test score or permission of instructor. **(MATH)**

**MATH 005E. Intermediate College Algebra and Lab. 3 Units.**

This course is taught using the emporium model in which students use technology to drive their learning in a lab setting with on-demand support from the instructor and tutors. Topics covered in this course include the real number system, solution of linear equations and inequalities, word problems, factoring, algebraic equations, exponents and radicals, quadratic equations, relations, functions, graphs, systems of equations and logarithmic and exponential functions. This course is not appropriate for students who have passed the Intermediate Algebra placement test of any higher level test. Pass/No Credit (P/NC) grading option is not allowed for this course. A grade of C- or better is required to satisfy the University’s Fundamental Skills requirement in quantitative analysis/math. Prerequisite: MATH 003 with a “C-“ or better or an appropriate test score or permission of instructor. **(MATH)**

**MATH 007. Trigonometry and Lab. 2 Units.**

Topics in this course include angle measure, trigonometric functions, applications of trigonometry, graphs of trigonometric functions, trigonometric identities, inverse functions and complex numbers. This course is designed for students who have not studied trigonometry in high school. Prerequisites include a satisfactory score on the Intermediate Algebra placement test. This course is taught using a Personalized System of Instruction and meets three hours per week. Pass/No credit (P/NC) grading option is not allowed for this course. Students who complete MATH 005 and MATH 007 with a C- or better may enroll in MATH 051. Prerequisite: MATH 005 with a "C-" or better, an appropriate test score, or permission of instructor. **(MATH)**

**MATH 033. Elements of Calculus. 4 Units.**

This course covers polynomial, rational, exponential and logarithmic functions as well as differentiation, integration and maxima/minima of functions of several variables. Elementary differential equations are studied and applications to natural sciences, social sciences and other fields are covered. Credit is not given for this course if a students has received credit for MATH 051 or AP credit in Calculus. Prerequisites: Two years of high school algebra and an appropriate score on either the Intermediate Algebra placement test or the Pre-Calculus placement test; or MATH 005 or MATH 041 with a "C-" or better. **(GE3B, MATH)**

**MATH 035. Elementary Statistical Inference. 4 Units.**

Emphasis is on the applications and limitations of statistical methods of inference, especially in the social and behavioral sciences. Topics include: estimation and test of hypothesis concerning a single group, One-way Analysis of Variance and analysis of categorical data. The use of statistical computer programs is addressed. Credit is not given for this course if a student has received credit for MATH 037 or has AP credit in Statistics. Prerequisite: MATH 003 or MATH 005 or MATH 041 with a "C-" or better, or an appropriate score on either the Elementary Algebra placement test, the Intermediate Algebra Placement test, or the Pre-calculus placement test or permission of instructor. **(ENST, GE3B, MATH, PLAW)**

**MATH 037. Introduction to Statistics and Probability. 4 Units.**

Students study elements of descriptive statistics: graphs, tables, measures of central tendency and dispersion. Probability models including binomial and normal are covered. The course introduces to estimation, hypothesis testing and analysis of variance in addition to linear and multiple regression and correlation. The use of statistical computer programs is addressed. The course is not recommended for first semester freshmen. Credit is not given for this course if a student has received credit for MATH 035 or has AP credit in Statistics. Prerequisites: MATH 033 or MATH 041 or MATH 045 or MATH 051 or MATH 053 with a "C-" or better or appropriate score on the calculus placement test. **(ENST, GE3B, MATH, PLAW)**

**MATH 039. Probability with Applications to Statistics. 4 Units.**

Probability concepts in discrete and continuous spaces is explored in some depth as well as important probability models (e.g., binomial, Poisson, exponential, normal, etc.), mathematical expectation and generating functions. Applications to statistical inference includes maximum likelihood, moment and least squares estimation. Confidence intervals and hypothesis testing is also covered. Credit is not given for both MATH 039 and MATH 131. Prerequisite: MATH 053 with a "C-" or better. **(GE3B)**

**MATH 041. Pre-calculus. 4 Units.**

The algebraic and trigonometric concepts which are necessary preparation for Calculus I are studied. Topics include the real number system, algebraic, trigonometric, exponential and logarithmic functions. Emphasis is on the function concept; graphing functions; solving equations, inequalities and linear systems; and applied problems. Credit for this course is not given if a student has AP Calculus credit. Prerequisite: MATH 005 with a "C-" or better or an appropriate score on either the Intermediate Algebra placement test, the Pre-calculus placement test or the calculus placement test. **(GE3B, MATH)**

**MATH 045. Introduction to Finite Mathematics and Calculus. 4 Units.**

This course introduces calculus, applications to problems in economics, management and other fields. Students study systems of equations, elements of matrix algebra, and elementary linear programming. Credit for this course is not given if a student has credit for MATH 051 or AP Calculus credit. Prerequisites: two years of high school Algebra and an appropriate score on either the Intermediate Algebra placement test, the Pre-calculus placement test, or the Calculus placement test; or MATH 005 or MATH 041 with a "C-" or better. **(GE3B, MATH)**

**MATH 049. Introduction to Abstract Mathematics. 4 Units.**

An introduction to the spirit and rigor of mathematics is the focus of the course. The content may vary with instructor, but the objective is to develop the skills required to read and write mathematics and prove theorems. Concepts include elementary logic, sets and functions, cardinality, direct and indirect proofs, mathematical induction. Prerequisite: MATH 053 with a "C-" or better or permission of the instructor.

**MATH 051. Calculus I. 4 Units.**

Students study differential calculus of algebraic and elementary transcendental functions, anti-derivatives, introductory definite integrals, and the Fundamental Theorem of Calculus. Applications, include the first and second derivative tests and optimization. Students who earn AP Math AB credit do not receive credit for MATH 051. Prerequisites: MATH 007 or MATH 041 with a "C-" or better or four years of high school mathematics including Trigonometry and an appropriate score on the placement test for calculus. **(GE3B, MATH)**

**MATH 052. A Calculus Companion. 1 Unit.**

An introduction to the foundations of calculus. This course provides a deeper look into the inner workings, formalities, history, and mysteries of Calculus. Foundations of the real numbers from axiomatic and set-theoretic perspectives. Number systems: real numbers, rationals, irrationals, integers, natural numbers, complex numbers. Cardinal numbers, Functions. The formal definition of the limit. Continuity and differentiability. Why the tangent line is the best linear approximation. A brief history of the differential. The theorems of calculus: Intermediate Value Theorem, Mean Value Theorem, Extreme Value Theorem, The Fundamental Theorem of Calculus, et al. Prerequisite may be taken concurrently: MATH 051.

**MATH 053. Calculus II. 4 Units.**

This course covers techniques and applications of integration, sequences and series, convergence of series, and Taylor Polynomials. Students who earn AP Math BC credit do not receive credit for MATH 053. Prerequisite: MATH 051 with a "C-" or better or an appropriate score on the calculus placement test. **(GE3B, MATH)**

**MATH 055. Calculus III. 4 Units.**

This course introduces multivariable calculus. Topics covered include vector geometry of the plane and Euclidean 3-space; differential calculus of real-valued functions of several variables, as well as partial derivatives, gradient, max-min theory, quadratic surfaces, and multiple integrals. Prerequisite: MATH 053 with a "C-" or better or AP Math BC credit. **(GE3B)**

**MATH 057. Applied Differential Equations I: ODEs. 4 Units.**

Students study ordinary differential equations, first-order equations, separable and linear equations. Also covered are direction fields, second order linear equations with constant coefficients, method of undetermined coefficients, laplace transforms, and unit impulse response and convolutions. Homogeneous systems of first order linear equations and matrix algebra determinants, eigenvalues, eigenvectors are also studied. Existence and uniqueness theorems are discussed and calculators or computers are used to display solutions and applications. Prerequisite: MATH 055 with a "C-" or better or permission of instructor.

**MATH 064. Ancient Arithmetic. 4 Units.**

This course traces mathematical and historical developments throughout the ancient world, ending with the Scientific Revolution. Students will gain mathematical knowledge through the analysis of historical problems and solution methods, while contextualizing these endeavors into a larger historical context. Students will read mathematical primary sources, and will learn to think about the development of mathematical primary sources, and will learn to think about the development of mathematics as an intellectual pursuit over time. This course is cross-listed with HIST 066. Prerequisite: Fundamental Skills. **(GE3B)**

**MATH 072. Operations Research Models. 4 Units.**

Operations Research (OR) is concerned with scientific design and operation of systems which involve the allocation of scarce resources. This course surveys some of the quantitative techniques used in OR. Linear Programs are solved using graphical techniques and the simplex algorithm. Among the other models studied is the transportation, assignment, matching, and knapsack problems. Prerequisite: MATH 033 or MATH 045 or MATH 051 with a "C-" or better or the appropriate score on the calculus placement test. **(GE3B)**

**MATH 074. Discrete and Combinatorial Mathematics. 4 Units.**

The fundamental principles of discrete and combinatorial mathematics are covered. Topics include the fundamental principles of counting, the Binomial Theorem, generating functions, recurrence relations and introductory graph theory, that includes trees and connectivity. Prerequisite: MATH 033 or MATH 045 or MATH 051 with a "C-" or better, or an appropriate score on the calculus placement test.

**MATH 075. Introduction to Linear Algebra. 4 Units.**

Linear algebra is the generalized study of solutions to systems of linear equations. The study of such systems dates back over 2000 years and now is foundational in the design of computational algorithms for many modern applications. This course will serve as an introduction to basic computational tools in linear algebra including the algebra and geometry of vectors, solutions to systems of linear equations, matrix algebra, linear transformations, determinants, eigenvalue-eigenvector problems, and orthogonal bases. Prerequisite: MATH 051 with a “C-“ or better.

**MATH 081. Writing Math Problems. 1 Unit.**

This course is an introduction to LaTeX math typesetting software commonly used by mathematicians including document creation, special document classes, mathematics commands and terminology. Writing problems for contests in multiple content areas and proofreading math problems. Practicum aspect: students will provide the content and grading for Pacific’s Avinash Raina High School Math Competition. Prerequisite may be taken concurrently: MATH 051. (Spring).

**MATH 093. Special Topics. 1-4 Units.**

**MATH 093D. Math Literacy for College. 3 Units.**

**MATH 095. Problem Solving Seminar. 1 Unit.**

The objective of this course is to learn mathematics through problem solving. Students in mathematics courses are often given the impression that to solve a problem, one must imitate the solution to a similar problem that has already been solved. This course will attempt to develop student creativity in solving problems by considering problems not commonly encountered in other mathematics courses. Students enrolled in this course are expected to participate in the William Lowell Putnam Mathematical Competition on the first Saturday in December. Students may take this course for credit at most four times. Prerequisite: MATH 053 with a "C-" or better.

**MATH 110. Numerical Analysis. 4 Units.**

Numerical analysis deals with approximation of solutions to problems arising from the use of mathematics. The course begins with a necessary but brief discussion of floating point arithmetic, and then proceeds to discuss the computer solution of linear algebraic systems by elimination and iterative methods, the algebraic eigenvalue problem, interpolation, numeric integration, that includes a discussion of adaptive quadrature, the computation of roots of nonlinear equations and the numerical solution of initial value problems in ordinary differential equations. Prerequisite: MATH 055 with a "C-" or better.

**MATH 121. Financial Mathematics I. 3 Units.**

This course provides understanding of fundamental concepts in financial mathematics and how those concepts are applied in calculating present and accumulated values for various streams of cash flows as a basis for future use in reserving, valuation, pricing, asset/liability management, investment income, capital budgeting, and valuing contingent cash flows. Topics include interest rates, determinants of interest rates, and interest-related concepts, annuities involving both level and varying payments, and varying interest rates, projects appraisal evaluation, loans and loan payment methods, bonds and bond evaluations. This course, together with MATH 122, prepares students for the Society of Actuaries Financial Mathematics examination. Prerequisite: MATH 053 with a “C-“ or better or permission of instructor.

**MATH 122. Financial Mathematics II. 3 Units.**

This course is the second semester of one-year financial mathematics. The course starts with reviewing bonds and bond evaluations. New topics include: discount model in common stock evaluation, analysis of term structure of interest rates, concepts of duration and convexity, and using and convexity to approximate bond price changes with respect to interest rate change, cash flow matching, immunization (including full immunization), Redington immunization, interest rate swaps. This course, together with MATH 121, prepares students for the Society of Actuaries Financial Mathematics examination. Prerequisite: MATH 121 with a “C-“ or better or permission of instructor.

**MATH 122P. Problem Solving in Financial Mathematics. 1 Unit.**

This 1 unit course is designed to prepare students for actuarial professional Exam FM. The course will review basic concepts in theory of interest and interest rate swaps (material covered in both MATH 121 and MATH 122). The course is entirely problem driven. Prerequisite: MATH 122 with a “C-“ or better.

**MATH 124. Advanced Financial Mathematics. 4 Units.**

This course is designed to develop student’s knowledge of the theoretical basis of certain actuarial models and the application of those models to insurance and other financial risks. The primary topics are: Option relations, binomial option pricing, Black-Scholes equation, market-making and delta hedging, exotic options, and Lognormal Distribution. Prerequisites: BUSI 123 and MATH 131 with a “C-“ or better.

**MATH 125. Actuarial Models I. 3 Units.**

Actuaries put a price on risk, and this course considers constructing and analyzing actuarial loss models (risk theory, severity and ruin models). This is the first part of a two-course series that covers the theory and applications of actuarial modeling. Actuarial Models I covers topics in probability theory relevant to the construction of actuarial models. After a review of random variables and basic probability distributional properties, the course examines severity and frequency loss models. Aggregate loss models, risk measures and the impact of coverage modifications on both frequency and severity will also be discussed. Finally, we will explore various ways of simulating random variables. Prerequisite: MATH 132 with a “C-“ or better or Permission of Instructor.

**MATH 126. Actuarial Models II. 3 Units.**

This course is the second part of a two-course series that covers the theory and applications of actuarial modeling. The course continues a study of the loss modeling processes introduced in Actuarial Models I. The primary topics the course cover are: (1) Estimation for complete data: empirical distributions for complete, individual data and grouped data. (2) Estimation for modified data: point estimation, Mean, variance, and interval estimation, kernel density models, approximations for large data sets. (3) Frequentist estimation: method of moments and percentile matching, maximum likelihood estimation, variance and interval estimation, Bayesian estimation, estimation for discrete distribution. (4) Frequentist estimation for discrete distribution. (5) Model selection: representations of the data and model, hypothesis tests, two types of selection criteria, extreme value models, copula models, models with covariates. (6) Simulation. Prerequisite: MATH 125 with a “C-“ or better or Permission of Instructor.

**MATH 127. Models of Life Contingencies I. 4 Units.**

This course is an introduction to life contingencies as applied in actuarial practice. This course is the first semester of two-semester course sequence, and it is designed to develop knowledge of the theoretical basis of life-contingent actuarial models and the application of those models to insurance and other financial risks. It covers the mathematical and probabilistic topics that underlie life contingent financial instruments like life insurance, pensions and lifetime annuities. Topics include life tables, present value random variables for contingent annuities and insurance, their distributions and actuarial present values, equivalence principle, and other principles for determining premiums and reserves. Prerequisites: MATH 122; MATH 131 with a “C-“ or better or Permission of Instructor.

**MATH 128. Models of Life Contingencies II. 4 Units.**

This course is a continuation of the study of life contingencies. It is designed to develop the student’s knowledge of the theoretical basis of life-contingent actuarial models and the application of those models to insurance and other financial risks. Topics include insurance and annuity reserves, characterization of discrete and continuous multiple decrement models in insurance, employee benefits, benefit reserves, and multiple life models. Prerequisite: MATH 127 with a “C-“ or better or Permission of Instructor.

**MATH 130. Topics in Applied Statistics. 3 Units.**

This course covers topics in applied statistics not normally covered in an introductory course. Students study multiple regression and correlation, analysis of variance of one- and two-way designs and other topics selected from non-parametric methods, time series analysis, discriminant analysis, factor analysis, that depend upon student interest. There is extensive use of packaged computer programs. Prerequisites: MATH 035 or MATH 037 with a "C-" or better.

**MATH 131. Probability and Mathematical Statistics I. 4 Units.**

This course covers counting techniques, discrete and continuous random variables, distribution functions, special probability densities such as binomial, hypergeometric, geometric, negative binomial, Poisson, Uniform, Gamma, Exponential, Weibull, and Normal. Students study joint distributions, marginal and conditional distributions, mathematical expectations, moment generating functions, functions of random variables, sampling distribution of the mean, and the Central Limit Theorem. Credit is not given for both MATH 039 and MATH 131. Prerequisite: MATH 053 with a "C-" or better.

**MATH 131P. Problem Solving in Probability. 1 Unit.**

This course is designed to prepare students for actuarial professional Exam P. This course will review basic concepts in theory of probability. The primary focus is problem solving; applying fundamental probability tools in assessing risks. Prerequisite: MATH 131 or permission of instructor.

**MATH 132. Probability and Mathematical Statistics II. 4 Units.**

Sampling distributions such as Chi-square, t and F are studied as estimation methods such as methods of moments, maximum likelihood and least squares. The course covers properties of estimators such as unbiasedness, consistency, sufficiency, tests of hypothesis concerning means, difference between means, variances, proportions, one and two-way analysis of variance. Prerequisite: MATH 131 with a "C-" or better.

**MATH 133. Topics in Applied Statistics II. 3 Units.**

This course will cover additional topics in applied statistics including supervised vs unsupervised learning, time series models, principal component analysis, decision trees, and cluster analysis. Prerequisite: MATH 130 with a “C-“ or better or permission of instructor.

**MATH 141. Linear Algebra. 4 Units.**

Fundamental linear algebra concepts from an abstract viewpoint, with the objective of learning the theory and writing proofs. Concepts include: vector spaces, bases, linear transformations, matrices, invertibility, eigenvalues, eigenvectors, invariant subspaces, inner product spaces, orthogonality, and the spectral theorem. Prerequisites: MATH 049, MATH 075 with a "C-" or better.

**MATH 143. Abstract Algebra I. 4 Units.**

This is an introductory course to groups, rings and fields, with an emphasis on number theory and group theory. Students study finite groups, permutation groups, cyclic groups, factor groups, homomorphisms, and the isomorphic theorem. The course concludes with an introduction to polynomial rings. Prerequisite: MATH 049 with a "C-" or better or permission instructor.

**MATH 144. Abstract Algebra II. 4 Units.**

This course is a continuation of MATH 143, and it emphasizes field theory and the application of groups to geometry and field extensions. Students study algebraic and separable field extensions, dimension, splitting fields, Galois theory, solvability by radicals, and geometric constructions. Prerequisite: MATH 143 with a "C-" or better or permission of instructor.

**MATH 145. Applied Linear Algebra. 4 Units.**

This is the second semester course in linear algebra with an emphasis on the theory and application of matrix decompositions. Topics include methods for solving systems of equations, QR factorization, the method of least squares, diagonalization of symmetric matrices, singular value decomposition, and applications. Prerequisites: MATH 053, MATH 075 with a “C-“ or better.

**MATH 148. Cryptography. 3 Units.**

Cryptography and cryptanalysis from historical cryptosystems through the modern use of cryptology in computing are studied. Topics include public and symmetric key cryptosystems, digital signatures, modular arithmetic and other topics in number theory and algebra. Possible additional topics include error correcting codes, digital cash, and secret sharing techniques. Prerequisite: MATH 053 with a "C-" or better or permission of instructor.

**MATH 152. Vector Analysis. 4 Units.**

Vector analysis and topics for students of applied mathematics, physics and engineering are studied. Topics include vector fields, gradient, divergance and curl, parametiric surfaces, line integrals, surface integrals, and integral theorems. Formulations of vector analysis in cylindrical and spherical coordinates are also included. Prerequisites: MATH 055 with a "C-" or better.

**MATH 154. Topology. 4 Units.**

This course introduces general topology and its relation to manifold theory. Topics include metric spaces, general spaces, continuous functions, homeomorphisms, the separation axioms, connectedness, compactness, and product spaces. Prerequisite: MATH 049 with a "C-" or better.

**MATH 155. Real Analysis I. 4 Units.**

This course focuses on properties of real numbers, sequences and series of real numbers, limits, continuity and differentiability of real functions. Prerequisites: MATH 049 and MATH 055 with a "C-" or better.

**MATH 156. Real Analysis II. 4 Units.**

This course covers integration, series of real numbers, sequences and series of functions, and other topics in analysis. Prerequisite: MATH 155 with a "C-" or better.

**MATH 157. Applied Differential Equations II. 4 Units.**

This course covers partial differential equations, derivation and solutions of the Wave, Heat and Potential equations in two and three dimensions as well as Fourier series methods, Bessel functions and Legendre polynomials, and Orthogonal functions. Additional topics may include Fourier integral transform methods, the Fast Fourier Transform and Sturm-Liouville theory. Computer exercises that use MATLAB are included. Prerequisite: MATH 057 with a "C-" or better.

**MATH 161. Elementary Concepts of Mathematics I. 4 Units.**

Concepts of arithmetic and geometry underlying elementary school programs in mathematics are studied. Laboratory materials are used to reinforce understanding of concepts. Prerequisite: MATH 003 or higher with a "C-" or better, or appropriate score on the algebra placement test. Not open to freshmen this course does not count as an elective for a BS degree.

**MATH 162. Elementary Concepts of Mathematics II. 4 Units.**

Students study the development of arithmetic and geometric concepts within a classroom setting. The course includes related topics such as diagnostic/prescriptive techniques, the use of calculators and computers, approaches to a K-8 math curriculum and current trends within mathematics education. The course includes field experiences, seminar discussions and laboratory workshops. Prerequisite: MATH 161 with a "C-" or better, or permission of the instructor.

**MATH 164. Topics in History of Mathematics. 3 Units.**

Topics in mathematics are studied from a historical perspective. Topics are chosen from: numeration systems; mathematics of the ancient world, especially Greece; Chinese, Hindu and Arabic mathematics; the development of analytic geometry and calculus; and modern axiomatic mathematics. Students solve problems using historical and modern methods. Students read and report on the biography of a mathematician. Prerequisite: MATH 053 with a "C-" or better. Junior standing or permission of the instructor.

**MATH 166. Mathematical Concepts for Secondary Education. 3 Units.**

This course covers secondary school mathematics from an advanced viewpoint and pedagogical perspective. Content is aligned with the mathematics subject matter requirements from the California Commision on Teacher Credentialing. Prerequisite: MATH 053 with a "C-" or better.

**MATH 168. Modern Geometries. 4 Units.**

Selected topics in this course are from Euclidean, non-Euclidean and transformational geometry in additionto both analytic and synthetic methods. The history of the development of geometries and axiomatic systems is covered. The course uses laboratory materials and computer packages used to reinforce understanding of the concepts. The course is required for high school teacher candidates. Prerequisite: MATH 049 with a "C-" or better or permission of instructor.

**MATH 174. Graph Theory. 4 Units.**

This course is an in-depth consideration of discrete structures and their applications. Topics include connectivity, Eulerian and Hamiltonian paths, circuits, trees, Ramsey theory, digraphs and tournaments, planarity, graph coloring, and matching and covering problems. Applications of graph theory to fields such as computer science, engineering, mathematics, operations research, social sciences, and biology are considered. Prerequisites: MATH 051 or MATH 074 or COMP 047 with a "C-" or better or an appropriate score on the calculus placement test.

**MATH 189A. Statistical Consulting Practicum. 2 Units.**

While working under close faculty supervision, students gain valuable practical experience in applying statistical methods to problems presented by University researchers, business and industry. Students enrolled in MATH 189A ordinarily participate in more sophisticated projects and take a more responsible role than students in MATH 089A. Pass/No credit. Prerequisites: for MATH 089A, MATH 130 with a "C-" or better or permission of the instructor; for MATH 189A, 089A with a "C-" or better and permission of the instructor.

**MATH 191. Independent Study. 2-4 Units.**

Student-initiated projects cover topics not available in regularly scheduled corses. A written proposal that outlines the project and norms for evaluation must be approved by the department chairperson.

**MATH 197. Undergraduate Research. 2-4 Units.**

#### Mathematics and Applied Mathematics

**Proficiency in Calculus**

- Students will be able to solve routine, non-routine, and applied problems in single and multivariable calculus.

**Proficiency in Linear Algebra**

- Students will be able to solve routine, non-routine, and applied problems involving matrices, linear transformations, eigenvalues, eigenvectors, vector spaces, and systems of linear equations.

**Mathematical Writing**

- Students will be able to convey the solutions to problems, providing the underlying logic and analysis in a way that is clear and unambiguous.

**Research, Independent Learning**

- Students will demonstrate the ability to research a topic, summarize, and report findings. Students will be able to learn on their own. They will recognize when additional information is needed. They will find it, if possible. They will cultivate good questions. Students will use appropriate means to find answers.

**Problem Solving**

- Students will be able to solve mathematical problems. They will be able to use prescribed methodology as well as adapt theory and methodology in new ways.

**Modeling (Applied Math)**

- Students will be able to apply mathematical structures and theory to real world problems. Students will be able to take a new problem given in words, translate it into a mathematical problem, investigate solutions using analytic techniques, and put the solution back into words.

**Proof (Math)**

- Students will demonstrate the ability to read, write, and assess the accuracy of mathematical proof.

#### Actuarial Science

**Proficiency in Calculus**

- Students will be able to solve routine, non-routine, and applied problems in single and multivariable calculus as outlined by the ETS Field Test guidelines.

**Proficiency in Probability and Statistics**

- Students will be able to apply the laws of probability and statistics to problems encountered by actuaries. Students will be able to solve routine, non-routine, and applied problems using statistical data analysis and statistical modelling.

**Proficiency in Communication**

- Students will be able to convey the solutions to problems, providing the underlying logic and analysis in a way that is clear and unambiguous.

**Problem Solving**

- Students will demonstrate the ability to research a topic, summarize, and report findings. Students will be able learn on their own. They will recognize when additional information is needed. They will find it, if possible. They will cultivate good questions. Students will use appropriate means to find answers.

**Research/Independent Learning**

- Students will be able to solve problems. They will be able to use prescribed methodology as well as adapt theory and methodology in new ways.

**Modeling**

- Students will be able to apply mathematical structures and theory to real world problems. Students will be able to take a problem given in words, translate it into a mathematical problem, investigate solutions using analytic techniques, and put the solution back into words.

### Mathematics Faculty

Larry Langley, Associate Professor and Chair, 2001, BS, U.C. Santa Cruz, 1988; AM Dartmouth College, 1990; PhD, Dartmouth College, 1993.

Aleksei I. Beltukov, Associate Professor, 2004, BS, Mendeleyev University, 1994; MS, Mendeleyev University, 1996; MS, Tufts University, 1996; PhD, 2004.

Mouchumi Bhattacharyya, Professor, 2000, BS, Cotton College, 1988; MS, Delhi University, 1990; MPhil, 1992; PhD, University of Wisconsin, Milwaukee, 1999.

Jialing Dai, Associate Professor, 2006, BS, Southwestern Normal University (China), 1985; MS, Jilin University of Technology (China), 1987; MS, University of Arizona, 1998; PhD, 2000.

Alex Dugas, Assistant Professor, 2010, BS, Stanford University, 2000; PhD, University of California, Berkeley, 2006.

Christopher Goff, Professor, 2002, BS, BA, University of Texas, Austin, 1993; MA, University of California, Santa Cruz, 1995; PhD, 1999. Member, Phi Beta Kappa.

John Mayberry, Associate Professor, 2010, BA, California State University, Fullerton, 2003; MA, University of Southern California, 2004; PhD, University of Southern California, 2008.

Sarah Merz, Professor, 1995, BA, Whitman College, 1991; MS University of Colorado at Denver, 1994; PhD, 1995. Member, Phi Beta Kappa

Dennis Parker, Associate Professor, 1985, BSE, University of Oklahoma, 1974; MNS, 1978; PhD, 1985.

Keith E. Whittington, Professor, 1987, BS, University of California, Riverside, 1975; PhD, University of Texas, 1980.