3units Introduction to calculus including limits, continuity, differentiation, applications, and introduction to integration. Graphical, algebraic and numerical methods of solving problems.
SatisfiesB4: Mathematical Concepts
Prerequisite(s): Math Enrollment Category M-I, M-II, or M-III and satisfactory score on the Precalculus Proficiency Assessment; MATH 19 with a grade of C- or better to waive the exam; or MATH 18A and MATH 18B with a grade of C- or better in each to waive the exam. Corequisite(s):MATH 30W. Grading: Graded
Note(s): MATH 30X is treated as a repeat for students who have taken MATH 30. MATH 30X is replacing MATH 30P and MATH 30PL.
4units Definite and indefinite integration with applications. Sequences and series. Graphical, algebraic and numerical methods of solving problems.
SatisfiesB4: Mathematical Concepts
Prerequisite(s): AP Calculus AB score 4 to 5, AP Calculus BC/AB Subscore 4-5, or MATH 30 or MATH 30X (with a grade of B or better). Grading: Graded
Note(s): Passing this course with a grade of “C-” or better course fulfills GE Area B4. Students who are repeating MATH 31 or MATH 31X are not eligible for this class and must take MATH 31X.
1units Support for students to excel in Calculus II. Students work in groups on challenging calculus problems to help them understand the concepts in Calculus II more deeply and lay the groundwork for success in future math courses.
Lab 3 hours.
Course is repeatable for up to 3 units.
Corequisite(s):MATH 31X. Grading: Credit / No Credit
4units Definite and indefinite integration with applications. Sequences and series. Graphical, algebraic and numerical methods of solving problems.
SatisfiesB4: Mathematical Concepts
Prerequisite(s): AP Calculus AB score 3 to 5, AP Calculus BC/AB Subscore 3-5, or MATH 30 or MATH 30X (with a grade of C- or better). Corequisite(s):MATH 31W. Grading: Graded
Note(s): Passing this course with a grade of “C-” or better course fulfills GE Area B4. Students who are repeating MATH 31 or Math 31X are not eligible for this class and must take Math 31X.
3units Functions of more than one variable, partial derivatives, multiple integrals and vector calculus. Graphical, algebraic and numerical methods of solving problems. GE Area B4.
SatisfiesB4: Mathematical Concepts.
Prerequisite(s): Score of 4 to 5 on the AP Calculus BC Exam; or MATH 31 or MATH 31X with a grade of B or better. Grading: Graded
Note(s): Students who are repeating MATH 32 must take MATH 32X.
4units Functions of more than one variable, partial derivatives, and multiple integrals. Vector fields, line and surface integrals, Green’s Theorem, Stokes’ Theorem, Divergence Theorem. Applications to engineering and science.
Misc/Lab: Lecture 3 hours/Lab 3 hours
Prerequisite(s): A score of 4 or 5 on the AP Calculus BC exam or Instructor Consent. Grading: Graded
1units Designed to promote students to excel in Calculus III. Students work in groups on Calculus III material to help them understand Calculus III concepts more thoroughly.
Lab 3 hours.
Course is repeatable for up to 3 units.
Corequisite(s):MATH 32X. Grading: Credit / No Credit
3units Functions of more than one variable, partial derivatives, multiple integrals and vector calculus. Graphical, algebraic and numerical methods of solving problems.
SatisfiesB4: Mathematical Concepts
Prerequisite(s): Score of 3 to 5 on the AP Calculus BC Exam; or MATH 31 or MATH 31X with a grade of C- or better. Corequisite(s):MATH 32W. Grading: Graded
MATH 33A - Ordinary Differential Equations for SCI & ENGR
3units (Formerly MATH 133A) First order differential equations, first order linear systems, second order linear equations, applications, Laplace transforms, series solutions.
Prerequisite(s):MATH 32 or MATH 32H or MATH 32X (with a grade of “C-” or better) or instructor consent. Grading: Graded
MATH 33LA - Differential Equations and Linear Algebra
3units (Formerly MATH 123) Matrices, determinants, systems of linear equations, vector geometry, linear transformations, eigenvalues and eigenvectors, diagonalization, first order differential equations, linear systems of differential equations, higher order differential equations, Laplace transforms.
Prerequisite(s):MATH 31 or MATH 31X (with a grade of “C-” or better) or instructor consent. Grading: Graded
3units First order differential equations, first order linear systems, second order linear equations, applications, numerical and series solutions. Nonlinear stability of solutions will be introduced. Existence and uniqueness of solutions will be emphasized.
Prerequisite(s):MATH 32 or MATH 32X (with a grade of C- or better) or instructor consent. Pre/Corequisite(s):MATH 39 or instructor consent. Grading: Graded
3units (Formerly MATH 129A) Matrices, systems of linear equations, vector geometry, matrix transformations, determinants, eigenvectors and eigenvalues, orthogonality, diagonalization, applications, computer exercises. Theory in Rn emphasized; general real vector spaces and linear transformations introduced.
Prerequisite(s):MATH 31 or MATH 31X (with a grade of “C-” or better) or instructor consent. Grading: Graded
3units Sets, logic, methods of proof including mathematical induction, functions, relations, elementary combinatorics, probability, Boolean algebras.
Prerequisite(s): Math Enrollment Category M-I or M-II and satisfactory score on the Precalculus Proficiency Assessment; MATH 19 with a grade of “B” or better to waive the exam; or MATH 18A and MATH 18B, with a grade of “B” or better in each to waive the exam. Grading: Graded
Note(s): Students who are repeating MATH 42 and MATH 42X are not eligible for this class and must take MATH 42X.
Cross-listed with CS 42. Mathematics and Statistics is responsible for scheduling.
1units Designed to promote students to excel in Discrete Mathematics. Students work in groups on challenging discrete math problems to help them understand the concepts in discrete math more deeply and lay the groundwork for success in future courses.
Lab 3 hours.
Course is repeatable for up to 3 units.
Corequisite(s):MATH 42X. Grading: Credit / No Credit
3units Sets, logic, methods of proof including mathematical induction, functions, relations, elementary combinatorics, probability, Boolean algebras.
Prerequisite(s): Math Enrollment Category M-I, M-II, or M-III and satisfactory score on the Precalculus Proficiency Assessment; MATH 19 with a grade of C- or better to waive the exam; or MATH 18A and MATH 18B with a grade of C- or better in each to waive the exam. Corequisite(s):MATH 42W. Grading: Graded
Cross-listed with CS 42X. Mathematics and Statistics is responsible for scheduling.
2units Computer systems and structured programming, emphasizing solutions of problems in the atmospheric sciences using Python programming. Includes the UNIX operating system, mass data handling and data visualization.
3units Systems of linear equations and inequalities, matrices, linear programming, set theory and probability theory, applications to business and to social sciences.
SatisfiesB4: Mathematical Concepts.
Prerequisite(s): Math Enrollment Category M-I or M-II or MATH 1 with a C- or better or satisfactory score in the Precalculus Proficiency Assessment. Grading: Graded
3units Functions and graphs, limits, continuity, differentiation, integration, partial differentiation. Emphasis on business and economics applications.
SatisfiesB4: Mathematical Concepts
Prerequisite(s):MATH 18A or MATH 19 with a grade of B or better; satisfactory score on the Precalculus Proficiency Assessment; or SAT Math score of 550+ (old version) or 570+ (revised score); or ACT Math score of 23+ waives the prerequisite. Grading: Graded
Note(s): Students repeating MATH 71 are not eligible for this class and must take MATH 71X.
MATH 71W - Calculus Workshop for Business/Aviation
1units Designed to help all students excel in Calculus for Business/Aviation. Students work in groups on challenging calculus problems to help them understand the concepts in calculus more deeply and lay the groundwork for success in future courses.
Lab 3 hours.
Course is repeatable for up to 3 units.
Corequisite(s):MATH 71X. Grading: Credit / No Credit
3units Functions and graphs, limits, continuity, differentiation, integration, partial differentiation. Emphasis on business and economics applications.
SatisfiesB4: Mathematical Concepts
Prerequisite(s):MATH 18A or MATH 19 with a grade of C- or better to waive the exam; or satisfactory score on the Precalculus Proficiency Assessment; or SAT Math score of 550+ (old version) or 570+ (revised score); or ACT Math score of 23+ to waive the exam. Corequisite(s):MATH 71W. Grading: Graded
1-6units Study Abroad and Away transfer credit course. Study Abroad and Away provides students the opportunity to study abroad on long term programs (Exchange Programs, CSU International Programs, and International Student Exchange Programs) and short-term programs (Faculty-Led Programs and Summer School Abroad Programs) for academic credit, offering Alternative Break Programs for cultural immersion, and designing other globally focused opportunities. This course is designated as a placeholder course for Study Abroad and Away programs.
3units Advanced writing through preparation of technical reports and presentations. Improving skills for writing subject-related reports, project proposals and personal resumes through practice and evaluation. Course assignments will be related to issues concerning careers in mathematics and mathematics education. GE Area: Z.
SatisfiesSJSU Studies Z: Written Communication II.
Prerequisite(s): A3 or equivalent second semester composition course (with a grade of C- or better); Completion of core GE, satisfaction of Writing Skills Test or completion of ENGL 100A / LLD 100A with C or better; and upper division standing. Graduate or Postbaccalaureate level. Grading: Graded
Note(s): Must be passed with C or better to satisfy the CSU Graduation Writing Assessment Requirement (GWAR).
3units Problem solving involving elementary number theory, algebra, geometry, logic, measurement, probability and statistics. Selected problems explored and extended across content strands. Various instructional methods and assessment alternatives modeled. Designed specifically for teachers of mathematics, grades K-8.
Prerequisite(s):MATH 106 (with a grade of “C-” or better) or instructor consent. Grading: Graded
3units Secondary school mathematics from an advanced viewpoint, plus topics from higher mathematics. Emphasizes inductive reasoning in problem solving. Applications useful to junior and senior high school teachers.
Prerequisite(s): Equivalent of mathematics minor (with 9 upper division units) or instructor consent. Grading: Graded
MATH 105 - Concepts in Mathematics, Probability, Statistics
3units Introduction to functions and algebraic reasoning, introduction to probability, data, graphs, statistics, problem solving; technology integrated throughout the course. This course is intended for future elementary teachers. The sequence of MATH 12, MATH 105, and MATH 106 satisfies subject matter competence in K-8 mathematics.
Prerequisite(s): Two years of high school algebra, one year of high school geometry, MATH 12 with a “C-” or better. Grading: Graded
3units Introductory geometry, measurement, inductive and deductive reasoning, introduction to transformations, and problem-solving techniques; technology integrated throughout the course. This course is intended for future elementary teachers. The sequence of MATH 12, MATH 105, and MATH 106 satisfies subject matter competence in K-8 mathematics.
Prerequisite(s):MATH 12 and MATH 105 with grades of “C-” or better Grading: Graded
3units Comprehensive view of school algebra primarily for the mathematical preparation of teachers. The computer will be used to generate examples, investigate relationships, explore algorithms and solve problems. Functions and relations used as a unifying theme throughout.
Prerequisite(s):MATH 106 (with a grade of “C-” or better), or instructor consent. Grading: Graded
3units Comprehensive view of elementary geometry primarily for the mathematical preparation of teachers. The computer will be used to investigate two- and three-dimensional patterns, measurement and parallelism. Transformational approach to congruence and similarity. Nature of inductive reasoning and deductive proof.
Prerequisite(s):MATH 106 (with a grade of “C-” or better), or instructor consent. Grading: Graded
MATH 108 - Introduction to Abstract Mathematics and Proofs
3units The course purpose is to develop students’ mathematical maturity and skill with proofs. Material covered includes logic; set theory including functions, relations, and cardinality; the real number system, including the completeness axiom; and selected topics.
Prerequisite(s):MATH 31 or MATH 31X, and MATH 42 or MATH 42X (each with a grade of “C-” or better). Or instructor consent. Grading: Graded
3units Vector fields, line and surface integrals, Green’s Theorem, Stokes’ Theorem, Divergence Theorem and advanced topics such as differential forms or applications to mechanics, fluid mechanics, or electromagnetism.
Prerequisite(s):MATH 32 or MATH 32X (with a grade of “C-” or better) or instructor consent. Grading: Graded
3units Properties of curves and surfaces, Frenet-Serret formulas and the fundamental forms. Study of curves and surfaces in the small by means of differential calculus.
Prerequisite(s):MATH 32 or MATH 32X, and MATH 39 (each with a grade of “C-” or better). Or instructor consent. Grading: Graded
3units Synthetic and analytic theory of projective transformations, similarities, Euclidian motions, inversive geometry and an introduction to non-Euclidean geometry.
Prerequisite(s):MATH 31 or MATH 31X (with a grade of “C-” or better) or instructor consent. Grading: Graded
MATH 123W - Differential Equations and Linear Algebra Workshop
1units A course designed to help all students excel in Linear Algebra and Ordinary Differential Equations (ODE’s). Students work in groups on challenging problems to help them understand the concepts of Linear Algebra and ODE’s more deeply and lay the groundwork for success in future courses.
Course is repeatable for up to 3 units.
Prerequisite(s):MATH 32 or MATH 32X (with a grade of C- or better). Corequisite(s):MATH 33LA. Grading: Credit / No Credit
3units Fundamental topics of abstract algebra (groups, rings, fields) from the viewpoint of real-world application, such as coding theory, robotics, algorithm design, cryptography, integrated circuit design, and signal processing.
Prerequisite(s):MATH 42 or MATH 42X, and MATH 39 (each with a C- or better). Or instructor consent. Grading: Graded
3units Continuation of MATH 39. Abstract vector spaces and linear transformations, diagonalization, Cayley-Hamilton theorem, minimal polynomials, Jordan canonical form. Selected topics from inner product and adjoint, duality, rational canonical form and applications.
Prerequisite(s):MATH 108 and MATH 39 (each with a grade of “C-” or better). Or instructor consent. Grading: Graded
3units Calculus of several variables; Jacobian, inverse and implicit function theorems, contracting mapping theorem, change of variables in integration and applications.
Prerequisite(s):MATH 32 or MATH 32X, and MATH 39 (each with a grade of “C-” or better). Or instructor consent. Grading: Graded
MATH 133W - Ordinary Differential Equations Workshop
1units Designed to help all students excel in Ordinary Differential Equations (ODE’s). Students work in groups on challenging problems to help them understand the concepts in ODE’s more deeply and lay the groundwork for success in future courses.
Prerequisite(s):MATH 32 or MATH 32X (with a grade of C- or better). Corequisite(s):MATH 33A. Grading: Credit / No Credit
3units First order differential equations and phase lines. Linear systems. Phase portraits. Classification of planar linear systems. Existence and uniqueness of solutions. Flows. Stability of equilibria and periodic orbits. Applications in the physical sciences and engineering.
Prerequisite(s):MATH 39 and one of MATH 33A or MATH 34, both with a grade of C- or better; or MATH 33LA (with a grade of C- or better). Grading: Graded
MATH 143C - Numerical Analysis and Scientific Computing
3units Development and comparison of important algorithms for scientific computing in terms of efficiency, accuracy and reliability. Topics include nonlinear equations, interpolation, approximation theory, differentiation, integration, differential equations, numerical stability and error analysis. Substantial assignments using contemporary software packages and professional subprogram libraries.
MATH 143M - Numerical Analysis and Scientific Computing
3units Development and comparison of important algorithms for scientific computing in terms of efficiency, accuracy and reliability. Topics include systems of linear equations-direct and iterative methods, least squares problems, eigenvalues and eigenvectors, numerical stability and error analysis. Substantial assignments using contemporary software packages and professional subprogram libraries.
Prerequisite(s):MATH 39, one of CS 22A, MATH 50, CS 46A or CS 49C (each with a grade of “C-” or better). Or instructor consent. Grading: Graded
Cross-listed with CS 143M. Mathematics and Statistics is responsible for scheduling.
MATH 146 - An Introduction to Mathematical Cryptography
3units Introduction to mathematics that has been useful in cryptography with a focus on the underlying mathematics (abstract algebra, number theory, probability, and combinatorics), and supporting applications (encryption, hash functions, blockchain). Additional topics may be covered.
Prerequisite(s):MATH 42 or MATH 42X, and MATH 39 (each with C- or better), or instructor consent. Grading: Graded
3units Measurement of interest; time value of money; present and future values of cash flows; applications to annuities, loans, sinking funds, bonds, and portfolios; duration and immunization.
Prerequisite(s):MATH 161A or ISE 130, or instructor consent Grading: Graded
3units Descriptive and inferential statistics. Collection and analysis of data, discrete and continuous probability models, random variables, Central Limit Theorem, confidence intervals, hypothesis testing.
Prerequisite(s):MATH 31 or MATH 31X (with a grade of “C-” or better) or instructor consent. Grading: Graded
3units A continuation of MATH 161A. Two sample confidence intervals and hypothesis tests, analysis of variance, simple and multiple regression, chi-square tests of homogeneity and goodness-of-fit, other topics as time permits. Use of statistical software is integral to the course. Student project required.
Prerequisite(s):MATH 161A (with a grade of “C-” or better), or instructor consent Grading: Graded
3units Introduction to the theory and applications of statistical methodology in the biological sciences. Topics include inference, stochastic processes, Markov chains, hidden Markov models, clustering, and gene expression analysis. Applications to current molecular biology and genetics problems. No biology background required.
Prerequisite(s):MATH 161A (with a grade of “C-” or better) or instructor consent. Grading: Graded
3units Probability axioms; random variables; marginal and conditional density and distribution functions; binomial, geometric, Poisson, gamma and normal probability laws; mathematical expectations, moment generating functions; limit theorems; sampling distributions.
Prerequisite(s):MATH 32 or MATH 32X, and MATH 161A (each with a grade of “C-” or better) or instructor consent. Grading: Graded
1units Corequisite workshop designed to help all students succeed in MATH 163. Students work in groups on probability problems and review material from MATH161A and MATH 32 or MATH 32X as necessary.
3units Sampling distributions, confidence intervals, order statistics, sufficient statistics, the Rao-Blackwell Theorem, completeness, uniqueness, point estimation, maximum likelihood, Bayes’ methods, testing hypotheses, likelihood ratio tests, categorical data analysis, nonparametric tests.
Prerequisite(s):MATH 163 (with a grade of “C-” or better) or instructor consent. Grading: Graded
MATH 167PS - Introduction to Python Programming and SQL
3units Introduction to Python. Data types, control flow, object-oriented programming, and graphical user interface-driven applications. The class will include designing relational schemas, writing SQL queries, accessing and designing a database, performing database administration. The students will also learn how to perform intermediate data base operations.
3units Introduction to the R programming language. Topics include data structures, reading and writing data, databases, data visualization, accessing and creating packages, programming structures and functions.
Prerequisite(s):MATH 161A with a grade of “C-” or better Grading: Graded
MATH 170 - Mathematical Modeling for the Life Sciences
3units Mathematical models used in biology and other life sciences, discrete and continuous processes, mathematical methods for analyzing solutions to the above models, interpretation of mathematical results.
Prerequisite(s):MATH 39 and one of MATH 33A or MATH 34 (both with a grade of C- or better); or MATH 33LA (with a grade of C- or better). Grading: Graded
3units Linear inequalities, the simplex method and other algorithms, duality, integer optimization, convex optimization, quadratic optimization, game theory.
Prerequisite(s):MATH 32 and MATH 39, both with a grade of C- or better. Grading: Graded
3units Basic modeling techniques including graphing, proportion, curve fitting and interpolation, optimization, probability and computer simulation, derivatives and differences. Technology will be incorporated to model applied problems from business/economics, physical/life/social sciences and engineering.
Prerequisite(s):MATH 39 (with a grade of “C-” or better) or instructor consent. Grading: Graded
3units Hamiltonian and Eulerian properties, matching, trees, connectivity, coloring problems and planarity. Emphasis on algorithms and applications, including optimal network flows.
Prerequisite(s):MATH 42 or MATH 42X, and MATH 39 (each with a grade of “C-” or better). Or instructor consent. Grading: Graded
3units Senior project on advanced topics in mathematics as determined by the instructor. Written paper and oral presentation of the project required. Intended for students graduating with departmental honors.
Prerequisite(s): At least junior standing as mathematics major. GPA of 3.5 or higher in the major and department chair consent. Grading: Credit/No Credit
1-4units Advanced work in specific fields with variable units 1 to 4. Students will work on research topics in mathematics which will vary depending the instructor(s).
Prerequisite(s): Mathematics major/minor or consent of instructor Grading: Credit/No Credit
3units Professional work experience in an area relevant to the students degree objectives. A written report, oral report and evaluation by a supervisor will be used to demonstrate that the goals of the internship experience have been met.
Prerequisite(s): Math department project coordinator consent. Grading: Credit/No Credit
1units Intensive review of mathematical methods. Selected topics from multivariate calculus, linear algebra, probability theory and elementary statistics. Introduction to statistical software including graphics and programming using R. Course will cover indispensable tools necessary for success in the MS statistics program.
Prerequisite(s): Admission to the MS Statistics Program Grading: Credit/No Credit
1-12units Study Abroad and Away transfer credit course. Study Abroad and Away provides students the opportunity to study abroad on long term programs (Exchange Programs, CSU International Programs, and International Student Exchange Programs) and short-term programs (Faculty-Led Programs and Summer School Abroad Programs) for academic credit, offering Alternative Break Programs for cultural immersion, and designing other globally focused opportunities. This course is designated as a placeholder course for Study Abroad and Away programs.
3units Secondary school mathematics from an advanced viewpoint, plus topics from higher mathematics. Emphasizes inductive reasoning in problem solving. Applications useful to junior and senior high school teachers.
Prerequisite(s): Equivalent of mathematics minor or instructor consent. Grading: Graded
3units Secondary school mathematics from an advanced viewpoint, plus topics from higher mathematics. Emphasizes deductive reasoning in problem solving. Applications useful to junior and senior high school teachers.
Prerequisite(s): Equivalent of mathematics minor or instructor consent. Grading: Graded
MATH 203 - Applied Mathematics, Computation, and Statistics Projects
3units Supervised teamwork to solve a substantial problem in mathematics or computer science usually supplied by an outside agency such as a local company. The number of different projects offered and the topics will vary widely. A project usually continues for two consecutive semesters.
3units Structure of projective planes; finite planes and combinatorics; automorphism groups; configuration theorems and coordinatizations; conics; introduction to projective n-space over a field; topological properties; subgeometries.
Prerequisite(s):MATH 112 or MATH 115 or instructor consent. Grading: Graded
3units Riemannian metric and Levi-Civita connection. Geodesics, completeness and Hopf-Rinow theorem. Curvature. First and second variations of arc-length. Spaces of constant curvature. Additional topics selected by the instructor such as theorems of Myers, Hadamard, Synge, and Gauss-Bonnet.
Prerequisite(s):MATH 213A or instructor consent. Grading: Graded
3units Advanced topics in number theory selected by the instructor. Emphasis may be in algebraic number theory (e.g. Diophantine equations), analytic number theory (e.g. the prime number theorem), and/or computational number theory (e.g. cryptography).
Prerequisite(s):MATH 126 and MATH 128A or instructor consent. Grading: Graded
3units Eigenvalues, unitary equivalence and Schur’s theorem. Normal, Hermitian and symmetric real matrices. Positive definite matrices, polar and singular value factorizations, and selected topics at the discretion of the instructor.
Prerequisite(s):MATH 129B or instructor consent. Grading: Graded
3units Function spaces and their duals, operators on function spaces, applications to analysis (classical and functional) and topics selected at the discretion of the instructor.
Prerequisite(s):MATH 231A or instructor consent. Grading: Graded
3units Derivation of the partial differential equations of classical mathematical physics. Existence and uniqueness of solutions of first order ordinary and partial differential equations. The classical theory of initial and boundary value problems for hyperbolic, parabolic and elliptic equations. Fourier series and transforms. Nonlinear partial differential equations.
Prerequisite(s):MATH 133B or instructor consent. Grading: Graded
3units Continuous and discrete dynamical systems with applications. Topics include stability of equilibria and closed orbits, structural stability, applications in classical mechanics, biology and engineering, including control systems.
Prerequisite(s):MATH 134 or instructor consent. Grading: Graded
3units Wavelets with particular emphasis on their use in the representation of digital signals and image analysis. Theory of filters, filter banks and wavelets with applications selected from image and video compression, speech, audio and ECG compression, and communication applications.
Prerequisite(s):MATH 39 and MATH 134, or instructor consent. Grading: Graded
3units Finite difference methods applied to parabolic, elliptic and hyperbolic equations including numerical methods for solving the discretized problem, convergence, stability, error control, and applications.
Prerequisite(s):MATH 143C or MATH 143M or instructor consent. Grading: Graded
MATH 250 - Mathematical Methods for Data Visualization
3units (Formerly MATH 253) Programming basics. 2D and 3D data plotting and graphing, advanced linear algebra, dimensionality reduction, visualization of high dimensional data, and applications to clustering and classification.
Prerequisite(s):MATH 32, MATH 39 and MATH 163 (each with a grade of B or better), or instructor consent. Grading: Graded
3units Multivariate normal distribution, Hotelling’s T-squared distribution, data reduction techniques including principal component and factor analysis, canonical correlation analysis, discrimination and classification techniques. Intensive use of computer analysis and real data sets. As time permits, advanced topics chosen by instructor. Possible topics include basis functions, derivative estimation, functional principal components, functional linear model.
Prerequisite(s):MATH 163 and MATH 261A (each with a grade of “B” or better), or instructor consent. Grading: Graded
3units Distributions for categorical data, descriptive and inferential methods for contingency tables, introduction to generalized linear models, logit models for binary data, and loglinear models for count data.
Prerequisite(s):MATH 261A with a grade of “B” or better Grading: Graded
3units Principles, construction and analysis of experimental designs. ANOVA; randomized blocks, Latin squares, factorial, nested and other designs; fixed and random effects, multiple comparisons, repeated measures. Expected mean squares. Diagnostics and model comparison.
Prerequisite(s):MATH 261A with grade of “B” or better. Pre/Corequisite(s):MATH 164 Grading: Graded
3units Introductory course in stochastic processes and their applications. The course will cover random walks, discrete time Markov chains, the Poisson process, continuous time Markov processes, renewal theory and queuing theory.
Prerequisite(s):MATH 39 and MATH 163 (each with a grade of “B” or better). Grading: Graded
3units A graduate-level introduction to Bayesian statistical methods for inference. Exchange-ability. Prior, likelihood, posterior and predictive distributions. Hierarchical models. Model checking.
Prerequisite(s):MATH 164 with a “B” or better Grading: Graded
3units Analysis of correlated data in time, trends, seasonal patterns, periodicity, autocorrelation, spectral/frequency analysis, filtering, ARIMA models, state-space models, forecasting. Applications from various fields including economics, signal processing, finance, atmospheric science.
Prerequisite(s):MATH 261A with a grade of “B” or better Grading: Graded