# Courses

- MATH 1000
- MATH 1070
- MATH 1100
- MATH 1130
- MATH 1140
- MATH 1150
- MATH 1170
- MATH 1230
- MATH 1240
- MATH 1250
- MATH 1300
- MATH 1420
- MATH 1540
- MATH 1640
- MATH 1650
- MATH 1700
- MATH 1900
- MATH 2110
- MATH 2120
- MATH 2200
- MATH 2240
- MATH 2700
- MATH 3000
- MATH 3020
- MATH 3030
- MATH 3070
- MATH 3080
- MATH 3120
- MATH 3160
- MATH 3170
- MATH 3200
- MATH 3220
- MATH 3400
- MATH 3510
- MATH 3650
- MATH 3700
- MATH 4410
- MATH 4430
- STAT 1200
- STAT 2000
- STAT 3050
- STAT 3060
- STAT 4040
- STAT 4310
- STAT 4990

#### MATH 1000 Pre-Calculus (5,0,0)

Credits: 3 credits

Delivery: Campus

This course provides the mathematical foundation for an introductory calculus course. Topics include equations and inequalities; functions, models, and graphs; polynomial and rational functions; exponential and logarithmic functions; trigonometric functions, identities and equations.

Prerequisite: Pre-calculus Math 12 or equivalent (British Columbia graduates of 2013 onwards) or Math 12 Principles or equivalent (British Columbia graduates prior to 2013) or MATH 0610 or MATH 0633, or B or better in MATH 0600

For more information, search for this course here.

#### MATH 1070 Mathematics for Business and Economics (3,1.5,0)

Credits: 3 credits

Delivery: Campus

This course is designed for Business and Economics students. Topics include the review of linear and non-linear functions and models (including cost, revenue, profit, demand and supply), solving linear and non-linear systems of equations, matrices, linear programming, difference equations, and mathematics of finance (including simple and compound interest: discrete and continuous, annuities, mortgages, and loans).

Prerequisite: Foundations of Math 12 or MATH 1000 or MATH 0600 (any of them within the last two years) or Departmental approval

Note: Students who already have credit for MATH 1100 may not take MATH 1070 for further credit
Required Seminar: MATH 1070S

For more information, search for this course here.

#### MATH 1100 Finite Mathematics with Applications 1 (3,1.5,0)

Credits: 3 credits

Delivery: Campus

Intended primarily for Liberal Arts or Education students, this course is not acceptable for credit in Science or Commerce. The past twenty years have seen an explosive growth in the scope of mathematics so much that many of the Social Sciences are employing mathematics as a powerful research tool. This course is designed to expose students to the areas of mathematics that they are likely to require in future studies. Topics to be covered include counting, probability, matrices, linear programming, and Markov chains or difference equations.

Prerequisite: As of 2013, C standing in either Foundations of Math 11 or Principles of Math 11, or Applications of Math 12 or equivalent (British Columbia graduates prior to 2013); or MATH 0510 or MATH 0523 or equivalent

Note: Students will not receive credit for more than one of MATH 1100, MATH 1070, MATH 1101 and MATH 1071
Required Seminar: MATH 1100S

For more information, search for this course here.

#### MATH 1130 Calculus 1 for Engineering (3,1.5,0)

Credits: 3 credits

Delivery: Campus

Students build a strong mathematical foundation for engineering by learning ideas, methods and applications of single-variable differential calculus. Limits and derivatives are defined and calculated, derivatives are interpreted as slopes and rates of change, and derivatives are then applied to many sorts of problems, such as finding maximum and minimum values of functions.

Prerequisite: Admission to the Engineering program

Note: Students who already have credit for MATH 1140, MATH 1141, MATH 1150, MATH 1170 or MATH 1171 may not take MATH 1130 for further credit

For more information, search for this course here.

#### MATH 1140 Calculus 1 (3,1.5,0) or (5,0,0)

Credits: 3 credits

Delivery: Campus

Students practice differential calculus for functions of one variable, with applications that emphasize the physical sciences. Topics include calculation and interpretation of limits and derivatives; curve sketching; optimization and related-rate problems; and Newton's method.

Prerequisite: At least C+ in British Columbia Pre-calculus Math 12 or equivalent (British Columbia graduates of 2013 onwards) or Principles of Math 12 or equivalent (British Columbia graduates prior to 2013) or MATH 1000 or MATH 1001 or MATH 0610 or MATH 0633 within the last two years. In exceptional cases, for example, where a student has transferred from another educational system or has been out of school for several years, entry into MATH 1140 may be permitted based on a placement test administered (for these exceptional cases only) by the Department of Mathematics and Statistics during the first week of classes.

Exclusion: Students who have credit for MATH 1130, MATH 1150, MATH 1170, MATH 1141, or MATH 1171 may not take MATH 1140 for further credit.

Note: Students who have never studied calculus, or who barely satisfy the course prerequisites, are advised to register in a section vectored (5,0,0).

For more information, search for this course here.

#### MATH 1150 Calculus for the Biological Sciences 1 (5,0,0) or (3,1,0)

Credits: 3 credits

Delivery: Campus

Students are instructed in differential calculus for functions of one variable, with applications that emphasize the biological sciences. Topics include calculation and interpretation of limits and derivatives, curve sketching, optimization problems, and Newton's method.

Prerequisite: At least C+ in British Columbia Pre-calculus Math 12 or equivalent (British Columbia graduates of 2013 onwards) or Principles of Math 12 or equivalent (British Columbia graduates prior to 2013) or MATH 1000 or MATH 1001 or MATH 0610 or MATH 0633 within the last two years. In exceptional cases, for example, where a student has transferred from another educational system or has been out of school for several years, entry into MATH 1150 may be permitted based on a placement test administered (for these exceptional cases only) by the Department of Mathematics and Statistics during the first week of classes.

Note: Students who already have credit for MATH 1130, MATH 1140, or MATH 1170 may not take MATH 1150 for further credit. Students planning to take 2nd year Mathematics courses are encouraged to enroll in MATH 1140 and MATH 1240 or MATH 1130 and MATH 1230

For more information, search for this course here.

#### MATH 1170 Calculus for Business and Economics (3,1.5,0)

Credits: 3 credits

Delivery: Campus

This course is intended for Business and Economics students. Topics include calculation and interpretation of derivatives, curve sketching, optimization (applied to business and economics), multivariable functions (including partial derivatives, optimization and Lagrange multipliers) and antiderivatives.

Prerequisite: At least C- in MATH 1070 or at least C+ in Pre-calculus 12 or MATH 1000 (any of them within the last two years) or Departmental approval. In exceptional cases, for example, where a student has transferred from another educational system or has been out of school for several years, entry to MATH 1400 may be permitted based on a placement test administered by the Department of Mathematics and Statistics during the first week of classes.

Note: Business students who have completed MATH 1400 or MATH 1410 with a C- or better will not receive credit for MATH 1170. Students who already have credit for MATH 1130, MATH 1140, MATH 1141 or MATH 1150 may not take MATH 1170 for further credit. Students planning to take 2nd year Mathematics courses are encouraged to enroll in MATH 1140 and MATH 1240 or MATH 1130 and MATH 1230. Required Seminar: MATH 1170S

For more information, search for this course here.

#### MATH 1230 Calculus 2 for Engineering (3,1.5,0)

Credits: 3 credits

Delivery: Campus

Students learn the ideas and techniques of single-variable integral calculus from an engineering perspective. Integrals are defined, evaluated and used to calculate areas, volumes, arc lengths and physical quantities such as force, work and centres of mass. Differential equations are introduced and used to model various physical phenomena. Ideas about infinite series are pursued, including some convergence tests, with particular emphasis on Taylor series.
Prerequisites: MATH 1130
Note that students who have credit for MATH 1240, MATH 1241 or MATH 1250 cannot receive further credit for MATH 1230

For more information, search for this course here.

#### MATH 1240 Calculus 2 (3,1.5,0) or (5,0,0)

Credits: 3 credits

Delivery: Campus

This course covers integral calculus for functions of one variable, with applications emphasizing the physical sciences. Topics include Riemann sums; definite and indefinite integrals; techniques of integration; improper integrals; applications to area, volume, arc length, probability, physics; separable differential equations; and series.

Prerequisite: MATH 1140, or MATH 1130, or MATH 1150

Note: Students who already have credit for MATH 1250 may not take MATH 1240 for further credit. Students planning to take 2nd year Mathematics courses are encouraged to enroll in MATH 1140 and MATH 1240 or MATH 1130 and MATH 1230.
Required Seminar: MATH 1240S

For more information, search for this course here.

#### MATH 1250 Calculus for the Biological Sciences 2 (5,0,0) or (3,1,0)

Credits: 3 credits

Delivery: Campus

Students are instructed in integral calculus for functions of one variable, with applications that emphasize the biological sciences. Topics include Riemann sums, definite and indefinite integrals, techniques of integration, improper integrals, first-order differential equations and slope fields, (applications to area, probability, logistic growth and predator-prey systems), and series.

Prerequisite: MATH 1130, or MATH 1140, or MATH 1150

Note: Students who already have credit for MATH 1240 may not take MATH 1250 for further credit. Students planning to take 2nd year Mathematics courses are encouraged to enroll in MATH 1140 and MATH 1240 or MATH 1130 and MATH 1230

For more information, search for this course here.

#### MATH 1300 Linear Algebra for Engineers (3,1.5,0)

Credits: 3 credits

Delivery: Campus

This course is designed for students in the first year Engineering Transfer program. Topics covered in this course include: vectors in R2 and R3; linear transformations; matrices and elimination; eigenvalues and eigenvectors and their application to Engineering problems. A computer lab component is used to explore applications.

Prerequisite: Admission to the Engineering Program

Corequisite: MATH 1130 or MATH 1140

Note: Credit cannot be obtained for both MATH 1300 and MATH 2120
Required Seminar: MATH 1300S

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#### MATH 1420 Mathematics for Visual Arts (3,1.5,0)

Credits: 3 credits

Delivery: Campus

Students explore mathematical concepts and techniques that are useful in a visual arts context. Topics include real numbers, ratios, geometry, and perspective.

Prerequisite: Foundations of Math 11, or Pre-calculus 11, or MATH 0500
Required Seminar: MATH 1420S

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#### MATH 1540 Technical Mathematics 1 (3,1.5,0)

Credits: 3 credits

Delivery: Campus

Students are instructed in mathematical concepts that are relevant to architecture, design, and engineering. Topics include trigonometry, an introduction to two- and three- dimensional vectors, functions and graphs, solving linear and quadratic equations, systems of linear equations, matrices, coordinate geometry, areas and volumes of standard geometric shapes, and problem solving.

Prerequisite: Admission to the Architectural and Engineering Technology program
Required Seminar: MATH 1540S

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#### MATH 1640 Technical Mathematics 2 (3,1.5,0)

Credits: 3 credits

Delivery: Campus

This is a calculus course for students in the Architectural and Engineering Technology program. The course offers instruction in differentiation and integration, with applications to curve sketching, extreme values and optimization, related rates, areas, volumes, and lengths of curves.

Prerequisite: A passing grade in MATH 1540 and Admission to the Architectural and Engineering Technology program
Required Seminar: MATH 1640S

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#### MATH 1650 Mathematics for Computing Science (3,1,0)

Credits: 3 credits

Delivery: Campus

This course introduces further mathematical concepts used in Computing Science. Students are introduced to number systems; vectors and matrices; geometry; discrete probability, statistics and random variables.

Prerequisite: One of Pre-calculus 12 or Foundations of Math 12 (or equivalent) with a minimum grade of C+; within the last two years

Note: Students who already have credit for MATH 1380 or COMP 1380 may not take MATH 1650 for further credit
Required Seminar: MATH 1650S

For more information, search for this course here.

#### MATH 1700 Discrete Mathematics 1 (3,1.5,0)

Credits: 3 credits

Delivery: Campus

Students are introduced to the foundation of modern mathematics including basic set theory; counting; solutions to recurrence relations; logic and quantifiers; properties of integers; mathematical induction; asymptotic notation; introduction of graphs and trees; finite state machines and formal languages; Boolean algebra.

Prerequisite: One of Pre-calculus 12 or Foundations of Math 12 (or equivalent) with a minimum grade of C+; within the last two years

Note: Students who already have credit for MATH 1390 or COMP 1390 may not take MATH 1700 for further credit
Required Seminar: MATH 1700S

For more information, search for this course here.

#### MATH 1900 Principles of Mathematics for Teachers (3,1.5,0)

Credits: 3 credits

Delivery: Campus

This course is designed for students who wish to enter the Elementary Teaching Program. Basic mathematical concepts are examined in depth, with emphasis on underlying foundations, explanations, and problem solving that broaden students' perspectives of mathematics. Topics include: problem solving; numeration; exponents; geometry; measurement; ratios; counting theory; arithmetic algorithms; and additional topics at the instructor's discretion.

Prerequisite: Foundations of Math 11 or equivalent
Required Seminar: MATH 1900S

Note: Students may only receive credit for one of MATH 1900 or MATH 1901

For more information, search for this course here.

#### MATH 2110 Calculus 3 (3,1.5,0)

Credits: 3 credits

Delivery: Campus

The concepts of single-variable calculus are extended to higher dimensions by using vectors as variables. Topics include the following: vector geometry and the analytic geometry of lines, planes and surfaces; calculus of curves in two or three dimensions, including arc length and curvature; calculus of scalar-valued functions of several variables, including the gradient, directional derivatives and the Chain Rule; Lagrange multipliers and optimization problems; double integrals in rectangular and polar coordinates.

Prerequisite: MATH 1230 or 1240 or equivalent; MATH 1300 for EECE Year 2 students

Corequisite: MATH 2120 recommended if MATH 1300 not previously completed
Required Seminar: MATH 2110S

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#### MATH 2120 Linear Algebra 1 (3,1.5,0)

Credits: 3 credits

Delivery: Campus

Students are introduced to linear algebra. The topics discussed and explored in this course include vector spaces, bases and dimension, geometry of n-dimensional space, linear transformations and systems of linear equations.

Prerequisite: 6 credits of MATH numbered 1000 or higher or MATH 1000 with a minimum grade of A or equivalent

Note: Credit cannot be obtained for both MATH 1300 and MATH 2120
Required Seminar: MATH 2120S

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#### MATH 2200 Introduction to Analysis (3,1.5,0)

Credits: 3 credits

Delivery: Campus

Analysis is a broad area of mathematics that includes calculus. This course presents some basic concepts of analysis in a mathematically rigorous manner, using theorems and proofs. Students are expected to develop some ability to understand proofs and to write their own proofs. After a survey of essential background material on logic, set theory, numbers and functions, the course covers suprema and infima of sets, completeness, basic metric topology of the real numbers (neighbourhoods, interior points and cluster points), continuity and limits.

Prerequisite: MATH 1240 or equivalent calculus. B- minimum strongly recommended.
Required Seminar: MATH 2200S

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#### MATH 2240 Differential Equations 1 (3,1.5,0)

Credits: 3 credits

Delivery: Campus

This course examines ordinary differential equations and related initial-value problems, and emphasizes their many applications in science and engineering. Students discuss methods for solving such equations either exactly or approximately. Topics include: first-order equations; higher order linear equations; modelling with differential equations; systems of linear equations; and phase plane analysis of nonlinear systems.

Prerequisite: MATH 2110 and MATH 2120
Required Seminar: MATH 2240S

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#### MATH 2700 Discrete Mathematics 2 (3,1.5,0)

Credits: 3 credits

Delivery: Campus

This course is a continuation of MATH 1700: Discrete Mathematics 1, and includes combinatorial arguments and proofs; deriving recurrence relations; generating functions; inclusion-exclusion; functions and relations; countable and uncountable sets; and graph theory.

Prerequisite: MATH 1700 or COMP/MATH 1390
Required Seminar: MATH 2700S

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#### MATH 3000 Complex Variables (3,1,0)

Credits: 3 credits

Delivery: Campus

Students are introduced to the classical complex function theory, a cornerstone of mathematics. Topics include: complex derivatives and the Cauchy-Riemann equations; the complex exponential function and related elementary functions; integration along curves and Cauchy's theorems; Taylor and Laurent series; zeros and singularities; residues; and evaluation of integrals using the residue theorem.

Prerequisite: MATH 2200 or MATH 3170 (both are recommended)

Corequisite: MATH 2200 or MATH 3170 (both are recommended)
Required Seminar: MATH 3000S

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#### MATH 3020 Introduction to Probability (3,1,0)

Credits: 3 credits

Delivery: Campus

This course provides a theoretical foundation for the study of statistics. Topics include basic notions of probability, random variables, probability distributions (both single-variable and multi-variable), expectation and conditional expectation, limit theorems and random number generation.

Prerequisite: MATH 2110

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#### MATH 3030 Introduction to Stochastic Processes (3,1,0)

Credits: 3 credits

Delivery: Campus

Students examine simple random processes, including discrete and continuous Markov chains, Poisson processes and Brownian motion. Renewal theory is also discussed.

Prerequisite: MATH 3020
Required Seminar: MATH 3030S

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#### MATH 3070 Linear Algebra 2 (3,1,0)

Credits: 3 credits

Delivery: Campus

This is a continuation of MATH 2120: Linear Algebra 1. Students explore such topics as: matrix diagonalization and its application to systems of linear differential equations and Markov chains; invariant subspaces; inner product spaces; Gram-Schmidt orthogonalization; linear operators of various special types (normal, self-adjoint, unitary, orthogonal, projections); the finite-dimensional spectral theorem; and bilinear and quadratic forms.

Prerequisite: MATH 2120
Required Seminar: MATH 3070S

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#### MATH 3080 Euclidean Geometry (3,1,0)

Credits: 3 credits

Delivery: Campus

Students begin with the axiomatic development of geometry, and briefly explore possible variations in axioms. Students then progress to classical Euclidean geometry; geometric transformations; and the relevance of geometric transformations to computer graphics. The course concludes with a discussion of non-Euclidean geometries and projective geometry.

Prerequisite: MATH 2120
Required Seminar: MATH 3080S

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#### MATH 3120 Elementary Number Theory (3,1,0)

Credits: 3 credits

Delivery: Campus

The course begins with integer divisibility and the related ideas of prime numbers, unique prime factorization, and congruence. Attention is then directed to arithmetic functions, including the Euler totient function. The Chinese Remainder Theorem and quadratic reciprocity are studied, and some Diophantine equations are considered. Lastly continued fractions and primitive roots are discussed.

Prerequisite: MATH 2120
Required Seminar: MATH 3120S

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#### MATH 3160 Differential Equations 2 (3,1,0)

Credits: 3 credits

Delivery: Campus

This course is divided into three parts. The first part examines methods for solving ordinary differential equations. Power series methods are applied to obtain solutions near ordinary points and regular singular points, and the real Laplace transform is discussed. In the second part, students consider Sturm-Liouville boundary-value problems, Fourier series, and other series of eigen functions, including Fourier-Bessel series. The final part is an introduction to boundary-value problems involving partial differential equations, primarily: the heat equation; the wave equation and Laplace's equation, with applications in physics. The method of separation of variables is used.

Prerequisite: MATH 2240

Note: This course is the same as PHYS 3120
Required Seminar: MATH 3160S

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#### MATH 3170 Calculus 4 (3,1,0)

Credits: 3 credits

Delivery: Campus

This course is a continuation of MATH 2110. Topics include triple integrals in rectangular, cylindrical and spherical coordinates, general change of variables in double and triple integrals, vector fields, line integrals, conservative fields, and path independence, Green's theorem, surface integrals, Stokes' theorem and the divergence theorem, with applications in physics.

Prerequisite: MATH 2110 or equivalent
Required Seminar: MATH 3170S

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#### MATH 3200 Real Variables (3,1,0)

Credits: 3 credits

Delivery: Campus

The core of this course is a careful study of continuity and limits of real functions and convergence of real sequences and series, in addition to basic topology of the real line. Limit points and subsequences are discussed, leading to the Bolzano-Weierstrass theorem and the concept of a compact set. Metric spaces are introduced.

Prerequisite: MATH 2200 with a B- minimum and at least one of MATH 3070, MATH 3080, MATH 3120 and MATH 3220
Required Seminar: MATH 3200S

For more information, search for this course here.

#### MATH 3220 Abstract Algebra (3,1,0)

Credits: 3 credits

Delivery: Campus

Students are introduced to the abstract algebraic concepts of rings, fields, integral domains, homomorphisms and isomorphisms. The course concludes with a brief discussion about the treatment of groups.

Prerequisite: MATH 2120 and at least one of MATH 2200, MATH 3070, MATH 3080 and MATH 3120
Required Seminar: MATH 3220S

For more information, search for this course here.

#### MATH 3400 Introduction to Linear Programming (3,1,0)

Credits: 3 credits

Delivery: Campus

Algorithms for linear programming are introduced and studied in this course, from both theoretical and applied perspectives. Topics include the graphic method; simplex method; revised simplex method; and duality theory. Special linear programming such as network flows and game theory are also explored.

Prerequisite: MATH 2120
Required Seminar: MATH 3400S

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#### MATH 3510 Problem Solving Applied Math (3,1,0)

Credits: 3 credits

Delivery: Campus

This course provides learners with a systematic approach to problem solving. Students use a variety of analytical techniques to solve problems drawn from various disciplines. This course is of interest to students in any program where numerical problems may occur.

Prerequisite: C or better in any 100 level Mathematics or Statistics course with the exceptions of MATH 1000 and MATH 1900
Required Seminar: MATH 3510S

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#### MATH 3650 Numerical Analysis (3,1,0)

Credits: 3 credits

Delivery: Campus

This course introduces standard numerical methods, including algorithms for solving algebraic equations (linear and nonlinear, single equations and systems) and for polynomial approximation and interpolation.

Prerequisite: MATH 2110, MATH 2120

Note: Students who already have credit for COMP 3320 may not take MATH 3640 for further credit
Required Seminar: MATH 3650S

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#### MATH 3700 Introduction to the History of Mathematics (3,1,0)

Credits: 3 credits

Delivery: Campus

Students trace the development of numeration, arithmetic, geometry, algebra and other areas of mathematics, from their beginnings to their modern forms. The historical development studies is enhanced by the solution of mathematical problems using the techniques that were available in the period under study.

Prerequisite: MATH 1240 or equivalent
Required Seminar: MATH 3700S

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#### MATH 4410 Modelling of Discrete Optimization Problems (3,1,0)

Credits: 3 credits

Delivery: Campus

Real-world optimization problems are formulated in order to be resolved by standard techniques involving linear programming, integer programming, network flows, dynamic programming and goal programming. Additional techniques may include post-optimality analysis, game theory, nonlinear programming, and heuristic techniques.

Prerequisite: MATH 3400
Required Seminar: MATH 4410S

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#### MATH 4430 Introduction to Graph Theory (4,0,0)

Credits: 3 credits

Delivery: Campus

An introductory course deals mostly with non-algorithmic topics, including connectivity, Eulerian graphs, Hamiltonian graphs, planarity and Kuratowski's Theorem, matchings, graph colouring, and extremal graphs. Applications of graphs are discussed.

Prerequisite: MATH 2700 or at least 12 credits of Mathematics courses numbered 2000 or above, which can be taken concurrently

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#### STAT 1200 Introduction to Statistics (3,1.5,0)

Credits: 3 credits

Delivery: Campus

This course is for non-science students who require an introduction to statistical reasoning. Topics include: descriptive statistics; correlation and regression; normal and binomial distributions; sample and experimental design; chi-square distribution; and hypothesis testing.

Prerequisite: Foundations of Math 11 or Pre-calculus Math 11 or equivalent (BC graduates of 2013 onwards) or Principles of Math 11, or Applications of Math 12 or equivalent (BC graduates prior to 2013), or MATH 0510 or MATH 0523 or equivalent. MATH 1100 or MATH 1101 is recommended.
Required Seminar: STAT 1200S

Note: Students may normally receive credit for only one of the following: BIOL 3000, BUEC 2320, MATH 1200, PSYC 2100, SOCI 2710, SOCI 3710, STAT 1200, STAT 2000, STAT 1201

For more information, search for this course here.

#### STAT 2000 Introduction to Statistics (3,1.5,0)

Credits: 3 credits

Delivery: Campus

This course is for science and forestry students who require an introduction to probability and statistical reasoning. Topics include: descriptive statistics; correlation and regression; probability; probability distributions; binomial and normal distributions; sample and experimental design, chi-square distribution, hypothesis testing, and analysis of variance. Applications in science and forestry are emphasized.

Prerequisite: MATH 1140 or equivalent first semester of calculus
Required Seminar: STAT 2000S

Note: Students may normally receive credit for only one of the following: BIOL 3000, BUEC 2320, MATH 1200, PSYC 2100, SOCI 2710, SOCI 3710, STAT 1200, STAT 2000, STAT 1201

For more information, search for this course here.

#### STAT 3050 Introduction to Statistical Inference (3,1,0)

Credits: 3 credits

Delivery: Campus

This course examines the theory behind statistical inference. Topics include a review of probability theory, sampling distributions, and methods of estimation and hypothesis testing. Methods such as maximum likelihood estimation, bootstrapping, Bayesian methods, likelihood ratio testing, and confidence interval construction are emphasized.

Prerequisite: STAT 2000 and MATH 3020

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#### STAT 3060 Applied Regression Analysis (3,1,0)

Credits: 3 credits

Delivery: Campus

This course concentrates on the applications rather than the theory of regression analysis. Topics include residual analysis, diagnostics, transformations, model selection and checking, weighted least squares and nonlinear models. Additional topics may include are inverse, robust, ridge and logistic regression.

Prerequisite: MATH 2120, STAT 2000
Required Seminar: STAT 3060S

For more information, search for this course here.

#### STAT 4040 Analysis of Variance (3,1,0)

Credits: 3 credits

Delivery: Campus

Students discuss the analysis of variance for standard experimental designs. Topics include single factor designs, fixed and random effects, block designs, hierarchical designs, multiple comparisons, factorial designs, mixed models, general rules for analysis of balanced designs, and analysis of covariance.
Co-Requisite: STAT 3060
Required Seminar: STAT 4040S

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#### STAT 4310 Introduction to Multivariate Analysis (3,0,1)

Credits: 3 credits

Delivery: Campus

Students analyze and interpret multivariate data in a number of different contexts. Topics include linear models, analysis of variance and covariance, multivariate analysis of variance, principle component analysis, and tree models. Students explore techniques for exploratory data analysis, model identification, and diagnostic checking. The course involves extensive use of software tools to apply the various analytical approaches.

Prerequisite: STAT 2000 or BIOL 3000
Recommended: MATH 2120 OR MATH 3020 OR STAT 3060 OR STAT 4040

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#### STAT 4990 ***Selected Topics in Statistics (3,1,0)

Credits: 3 credits

Delivery: Campus

Students consider, in depth, a selection of topics drawn from Statistics. The particular topics may vary each time the course is offered.

Prerequisite: At least two of MATH 3020, MATH 3030, STAT 3050, STAT 3060 or permission of the instructor
Required Seminar: STAT 4990S

For more information, search for this course here.