Acadia University Online Course Catalog

2019 - 2020

Mathematics and Statistics

Department School Year

* Math 1013 X0 is a two-semester section of Introductory Calculus 1. This section includes a review of topics from pre-calculus. Permission of the department is required to register.


Course Title Offered in 2019
F/W INT COR Last Offered
MATH 0110 PRE-UNIVERSITY MATHEMATICS Yes   Yes 2019-F/W
Topics from high school mathematics. This non-credit course serves as a prerequisite for courses that require NS Grades 11 and 12 Academic Math or their equivalent. Prereq: with permission of the instructor
MATH 0120 ADVANCED PRE-UNIVERSITY MATHEMATICS Yes   Yes 2019-F/W
Topics from pre-calculus mathematics. This non-credit course serves as a prerequisite for courses that require NS Grades 11 and 12 Advanced Mathematics and Precalculus or their equivalents. Prereq: with permission of the instructor
MATH 1013 INTRODUCTORY CALCULUS 1 Yes     2019-F/W
Limits, tangent lines and derivatives, exponential, logarithmic and inverse functions. Application of the derivative to rates, extrema, curve sketching, indeterminate forms. Hyperbolic functions and parametric curves if time permits.(3h lecture, 1.5h studio) Prereq: 60% or better in NS Precalculus (or equiv) OR 60% or better in Math 0120 or 60% or better in Math 1613. Anti-requisites: Credit can be obtained for only one of Math 1013 and Math 1613: however, students who have taken Math 1613 and subsequently take Math 1013 may use Math 1613 as a science elective.
MATH 1023 INTRODUCTORY CALCULUS 2 Yes Yes   2020-INT
Antiderivatives, the Fundamental Theorem of Calculus, techniques of integration, applications such as volumes, arc length, improper integrals, sequences, series, power series, Taylor series, Taylor polynomials. (3h lecture, 1.5h studio) Prereq: Math 1013. It is strongly recommended that Math 1013 be completed in the previous semester.
MATH 1213 STATS:BUSINESS/BEHAVIORAL SCIENCES 1 Yes     2019-F/W
Descriptive statistics, exploratory data analysis, correlation, least squares line, probability, random variables, normal distribution, sampling distributions, estimation and confidence intervals, elementary hypothesis testing, one-way analysis of variance using nonparametric and parametric tests. (3h lecture, 1.5h studio) Prereq: NS Grade 11 Academic or Advanced Math OR Math 0110 Antireq: Credit can be obtained for only one of Math 1213/Math 1223, Math 2213/Math 2223, Math 2233/Math 2243, and Econ 2613/Econ 2623. Math 1213 cannot be offered for credit by any student registered in a science program, except for those in nutrition or psychology. However, students who have taken Math 1213/Math 1223 and are subsequently transferring to a Math/Stats major, may use these courses as science electives within their degree.
MATH 1223 STATS:BUSINESS/BEHAVIORAL SCIENCES 2 Yes Yes   2020-INT
Binomial distribution and normal approximation to the Binomial, hypothesis testing and non-parametric inference for one and two populations, goodness-of-fit and contingency tables, one-way analysis of variance and multiple comparisons; block designs; Friedman test; further topics in regression. (3h lecture, 1.5h studio) Prereq: Math 1213 Antireq: Credit can be obtained for only one of Math 1213/Math 1223, Math 2213/Math 2223, Math 2233/Math 2243, and Econ 2613.
MATH 1313 FOUNDATIONS Yes     2019-F/W
Topics may include: Number systems. Complex numbers and De Moivre's theorem. Base arithmetic. Sets, set operations. Methods of proof, logic, truth tables, and quantifiers. Permutations and combinations. The binomial theorem. Relations and functions. One-to-one and onto mappings. Basic number theory. Equivalence relations. Congruences. Simple codes. Graph theory. Prereq: NS Grade 11 and 12 Academic or Advanced Math Antireq: Credit can be obtained for only one of Math 1313 or Math 1413.
MATH 1323 MATRIX ALGEBRA Yes     2019-F/W
Systems of linear equations, matrices, vectors in two and three dimensions, row reduction and echelon forms, linear independence and span, linear transformations, matrix operations, Invertible Matrix Theorem, subspaces, determinants, Cramer's Rule, eigenvectors and eigenvalues; a computational approach, with applications. Prereq: NS Grade 11 and 12 Academic or Advanced Math (or equivalent); OR Math 0120 Antireq: Credit can be obtained for only one of Math 1323 or Math 1333.
MATH 1333 INTRODUCTION TO LINEAR ALGEBRA Yes     2019-F/W
Systems of linear equations, matrices, vectors, row reduction and echelon forms, linear independence and span, linear transformations, matrix operations, Invertible Matrix Theorem, elementary matrices, LU Decomposition, subspaces, determinants and multilinear functions, Cramer's Rule, eigenvalues and eigenvectors, geometry of vector spaces, Singular Value Decomposition if time permits; a proof-based approach, with applications. Prereq: NS Grade 11 and 12 Academic or Advanced Math (or equivalent); OR Math 0120 Antireq: Credit can be obtained for only for one of Math 1323 or Math 1333.
MATH 1413 DISCRETE MATHEMATICS Yes     2019-F/W
Logic, techniques of proof, mathematical induction, permutations and combinations, inclusion/exclusion, sets, relations and functions, elementary number theory. Prerequisite: NS Grade 11 and 12 Advanced Math and Pre-calculus (or equivalent) and computer science enrolment, or permission of the of the instructor. Antirequisite: Credit can be obtained for only one of Math 1313 and Math 1413.
MATH 1513 TRUTH IN NUMBERS       2011-F/W
The mathematical and statistical applications that appear in day-to-day media are discussed. Topics may include elections, fair division, climate change, environment, public health, epidemiology, finances, google searches, cryptography, and polls, and will be based on stories in the media. The course will teach numeracy skills to understand these topics. The course cannot be used to meet the Mathematical requirement for Math or other Science majors.
MATH 1533 MATHEMATICAL CONCEPTS I     Yes 2019-COR
This course is designed for students planning a career in elementary education. Topics will include problem solving, logic and sets, algebra and functions, integers, rational numbers, decimals, percents, and real numbers. This course may not be used by students in science, business, economics, or mathematics to fulfill major or minor requirements. Prereq: permission of the Department of Mathematics and Statistics
MATH 1543 MATHEMATICAL CONCEPTS II Yes   Yes 2019-F/W
This course is designed for students planning a career in elementary education. Topics will include problem solving, probability and data analysis, geometry, measurement, motion geometry. This course may not be used by students in science, business, economics, or mathematics to fulfill major or minor mathematics requirements. Prereq: permission of the Department of Mathematics and Statistics
MATH 1553 PATTERNS & ALGEBRA   Yes   2019-INT
An in-depth study of Patterns and Algebra across grades 4-10, focusing on the development and understanding of the underlying ideas. Additional focus will be placed on where student problems occur, links with other mathematics ideas, and effective teaching strategies. Science students, business students, economics students, and mathematics and statistics majors may not receive credit for this course.
MATH 1563 NUMBER:WHOLE NUMBERS, INTEGERS Yes     2019-F/W
An in-depth study of number (whole numbers, integers, fractions, and decimals) across grades 4-10, focusing on the development and understanding of the underlying ideas. Additional focus will be placed on where student problems occur, links with other mathematics ideas, and effective teaching strategies. Students in Science, business, economics, and mathematics and statistics may not receive credit for this course.
MATH 1573 GEOMETRY: 2D AND 3D       2020-INT
An in-depth study of 2- and 3-dimensional Geometry across grades 4-10, focusing on the development and understanding of the underlying ideas. Additional focus will be placed on where student problems occur, links with other mathematics ideas, and effective teaching strategies. Science students, business students, economics students, and mathematics and statistics majors may not receive credit for this course.
MATH 1583 PROBABILITY/DATA ANALYSIS/PROPORTION       2020-INT
An in-depth study of Probability, Data Analysis, and Proportional Reasoning across grades 4-10, focusing on the development and understanding of the underlying ideas. Additional focus will be placed on where student problems occur, links with other mathematics ideas, and effective teaching strategies. Science students, business students, economics students, and mathematics and statistics majors may not receive credit for this course.
MATH 1613 GEN LINEAR ALGEBRA CALC:BUSI/ECON Yes   Yes 2020-INT
Linear equations and their graphs. Systems of linear equations and linear inequalities. Polynomials, exponential and logarithmic functions. Vector and matrix algebra. Derivatives and optimization. Applications to business and economics are integrated throughout the course. Emphasis is on understanding how problems are formulated mathematically and on interpretation of mathematically-expressed real-world problems. Math 1613 is a terminal course. Students wanting to take further math courses must take Math 1013/Math 1023 instead. Prereq: NS Grade 11 and 12 Academic or Advanced Math (or equiv) or Math 0110. Satisfactory performance in diagnostic test may be additionally required. Antirequisites: Credit can be obtained for only one of Math 1013 and Math 1613; however, students who have taken Math 1613 and are subsequently take Math 1013 may use this course as a science elective.
MATH 2013 ADVANCED CALCULUS Yes     2019-F/W
Functions of several variables. Partial differentiation and applications. Vectors in R² and R³. Multiple and iterated integrals. Polar coordinates, spherical and cylindrical coordinates and multiple integrals. Change of variable in multiple integrals. Vector-valued functions and vector calculus. (4.5hr lecture/lab studio combined) Prereq: Math 1023 with C- or better
MATH 2023 DIFFERENTIAL EQUATIONS I Yes     2019-F/W
First order differential equations, second order differential equations with constant and variable coefficients, introduction to systems of differential equations and phase plane analysis, series solutions, boundary value problems, Laplace transforms. (3h lecture, 1.5h studio) Prereq: Math 1023
MATH 2213 APPL PROBABILITY SCI/ENGI Yes     2019-F/W
Descriptive statistics, combinatorics, probability spaces, random variables, probability modelling, discrete and continuous distributions, joint distributions, covariance, correlation, sampling distributions, central limit theorem, simple linear regression. (4.5h lecture/studio combined Prereq: Math 1023 Antireq: Credit can be obtained for only one of Math 1213/Math 1223, Math 2213/Math 2223, Math 2233/Math 2243, and Econ 2613.
MATH 2223 APPLIED STATISTICS FOR SCIENCE Yes     2019-F/W
Estimation, confidence intervals, testing hypotheses, non-parametric methods, goodness of fit, regression, analysis of variance. (4.5h lecture/studio combined) Prereq: Math 2213 Antireq: Credit can be obtained for only one of Math 1213/Math 1223, Math 2213/Math 2223, Math 2233/Math 2243, and Econ 2613/Econ 2623. Econ 2613 cannot be offered for credit by Math/Stats majors.
MATH 2233 STATISTICS FOR LIFE SCIENCES 1 Yes     2019-F/W
Exploratory data analysis, probability, random variables, discrete and continuous distributions, sampling distributions, estimation confidence intervals, hypothesis testing. This course is restricted to students in biology, environmental science, computer science, nutrition, and psychology. (3h lecture, 1.5h studio) Prereq: NS Grade 11 and 12 Academic or Advanced Math OR Math 0120. Biology students require second year standing or permission from the Department Head. Antireq: Credit can be obtained for only one of Math 1213/Math 1223, Math 2213/MaTH 2223, and Econ 2613.
MATH 2243 STATISTICS FOR LIFE SCIENCES 2 Yes     2019-F/W
Parametric and non-parametric inference for one and two populations, chi-square tests for goodness of fit, independence and homogeneity, simple linear regression, experimental design and analysis of variance. (3h lecture, 1.5h studio) Prereq: Math 2233 with C- or better Antireq: Credit can be obtained for only one of Math 1213/MATH 1223, Math 2213/Math 2223, Math 2233/Math 2243, and Econ 2613.
MATH 2313 LINEAR ALGEBRA 2 Yes     2019-F/W
Abstract vector spaces, subspaces including null space and column space, linear transformations, coordinate systems, dimension, rank, change of basis, eigenvalues and eigenvectors, characteristic equation, diagonalization, inner product and orthogonality, orthogonal projections, Gram-Schmidt algorithm, inner product spaces, quadratic forms, Cayley-Hamilton Theorem. Prereq: Math 1323 or 1333
MATH 2433 GRAPH THEORY/ALGEBRAIC STRUCTURES       2010-F/W
Graphs and trees with application to computer science, number theory, monoids, semi-groups, groups and homomorphisms with application to computer science, formal languages, finite state automata, and Turing machines. Prereq: Math 1413 or 1313
MATH 2633 THEORY OF INTEREST Yes     2019-F/W
The Mathematical theory behind interest-based investments. This course is designed to help prepare students for Part I of the Society of Actuaries' Exam FM. Topics include: simple and compound interest, annuities, amortization schedules, sinking funds, bonds, and other securities. Prereq: Math 1023 or permission of the instructor
MATH 2723 INTRO DIFFERENTIAL EQUATIONS Yes     2019-F/W
First order differential equations, separation of variables, exact differential equations, integrating factors, second order differential equations with constant coefficients, general solutions, non-homogeneous equations, applications, equations with variable coefficients, series solutions, Laplace transforms. (4.5h lecture) Prereq: Math 1023 Antirequisite: Credit can be obtained for only one of Math 2023 and Math 2723
MATH 2753 MULTIVARIATE CALCULUS FOR APPL SCI Yes     2019-F/W
This course covers the calculus of vector-valued functions and functions of several variables. Topics include: vectors, dot product, cross product, parameterized curves, arc length, differentiation and integration of vector-valued functions, partial derivatives, optimization including Lagrange Multipliers, multiple integrals, change of variables in multiple integrals, vector fields, line integrals, surface integrals, Green's, Stokes' and Divergence Theorems. (4.5h lecture/studio combined) Prereq: Math 1023 Antirequisite: Credit can be obtained for only one of Math 2013 and Math 2753
MATH 3013 STUDIES IN MATHEMATICS/STATISTICS 1       2017-F/W
Study of a particular topic in mathematics or statistics. Prereq: 6h Math at 2000 level with C- or better and permission of department
MATH 3023 STUDIES IN MATHEMATICS/STATISTICS 2       2013-F/W
Study of a particular topic in mathematics or statistics. Prereq: 6h Math at 2000 level with C- or better and permission of department
MATH 3213 PROBABILITY Yes     2019-F/W
Elementary set theory, outcome spaces, probability spaces, laws of probability (discrete and continuous), independence, conditionality, random variables, random vectors, distributions of functions of random variables, moments and moment generating functions, special distributions, law of large numbers, central limit theorem. Prereq: Math 2013, Math 2223 with grade of C- or better
MATH 3233 REGRESSION       2018-F/W
An introduction to the methodology and theory involved in multi-linear regression. Topics include variable selection, indicator variables, correlation analysis and general linear hypothesis testing. Prereq: One of Math 1323 or Math 1333, and one of Math 2223 or Math 2243 with grade of C- or better Antireq: Credit can be obtained for only one of Math 3233 and Econ 2623
MATH 3253 NONPARAMETRIC STAT INFERENCE       2018-F/W
Nonparametric statistical inference and statistical methods based on ranks. Topics include: rank and sign tests, linear rank statistics, nonparametric analysis of variance, measures of concordance, relative power and efficiency. Prereq: One of Math 2223 or Math 2243 with a grade of C- or better
MATH 3263 SAMPLING THEORY       2018-F/W
Statistical surveys, simple random sampling, sampling proportions and percentages, estimation of sample size, ratio and regression estimators, stratified random sampling, cluster sampling, probability sampling. Prereq: One of Math 2223 or Math 2243 with a grade of C- or better
MATH 3273 DESIGN & ANALYSIS OF EXPERIMENTS Yes     2019-F/W
Single and multi-factor analysis of variance, fixed and random effects models, analysis of co-variance, experimental design, including randomized block designs, balanced incomplete block designs, and factorial designs. Other topics may include repeated measures, split plot designs, response surface models, and fractional factorial designs. Prereq: One of Math 2223 or Math 2243 with a grade of C- or better
MATH 3283 TIME SERIES Yes     2019-F/W
Seasonal effects, trends, descriptive methods. Stochastic processes, moving average and autoregressive processes. Autocorrelation. Model fitting and Box Jenkins models. Forecasting. Regression based procedures. Prereq: One of Math 2223 or Math 2243 with a grade of C- or better
MATH 3293 STATISTICAL LEARNING       2018-F/W
Modern statistical methods for supervised and unsupervised learning with large and complex data. Topics include: linear regression, classification, resampling methods, model selection and regularization, smooth regression, tree-based models, support vector machines, principal components and dimension reduction, clustering and statistical graphics. Prereq: One of Math 2223 or Math 2243 with a grade of C- or better
MATH 3303 ALGEBRA 1       2018-F/W
Modern mathematics with emphasis on the fundamental concepts and structures of algebra. Introduction to groups, rings and fields. Topics including homomorphisms, isomorphisms, quotient structures, finite fields. Prereq: Math 2313 with a grade of C- or better
MATH 3343 COMBINATORICS       2018-F/W
The basic concepts and problems in combinatorial analysis, with applications. Topics include enumeration, selections and arrangements, distributions, binomial identities, Stirling numbers, recurrence relations, generating functions, inclusion-exclusion, Polya's theorem, designs. Prereq: Math 2213 with a grade of C- or better
MATH 3413 NUMERICAL METHODS       2018-F/W
Floating point computation, errors and their propagation, linear systems of equations, nonlinear equations, interpolation, numerical differentiation and integration. The solution of mathematical problems on a computer forms an integral part of the course. Prereq: Math 1023 and one of Math 1323 or Math 1333 with grades of C- or better
MATH 3513 NUMBER THEORY Yes     2019-F/W
The basic concepts and problems of number theory. Topics included are properties of integers, divisibility and primes; congruences, power residues and quadratic reciprocity; Diophantine equations. Prereq: Math 2313 with a grade of C- or better or permission of the instructor
MATH 3533 REAL ANALYSIS 1 Yes     2019-F/W
The emphasis in this course is on a rigorous examination of the theory underlying calculus. Topics include set theory, countability, the real numbers as a complete and totally ordered field, convergence of sequences, convergence of functions, continuity, derivatives. Prereq: Math 2013 or Math 2753 with grades of C- or better
MATH 3543 INTRODUCTORY COMPLEX VARIABLES Yes     2019-F/W
Complex numbers, analytic functions, elementary functions; contour integrals, Cauchy integral formula, maximum modulus theorem, series, residues and poles, conformal mapping; applications. Prereq: Math 2023 or Math 2753 with grades of C- or better
MATH 3573 HISTORY OF MATHEMATICS       2003-F/W
A study of the history of mathematics from the seventeenth century onward, with particular emphasis being placed on the shift from classical methods to the more abstract modern setting. Topics covered may include: the vibrating string, Cauchy and the definition of limits, the origins of set theory, non-Euclidean geometry, the development of group theory from Lagrange to Klein and Lie. Prereq: One of Math 2013 or Math 2753, and one of Math 2023 or Math 2723 with grades of C- or better
MATH 3603 OPER RESEARCH 1:PROGRAMING/NETWORKS Yes     2019-F/W
This course will provide an overview of the operational research modelling approach, and focuses on deterministric mathematical programming. Topics may include linear programming, transportation and assignment problems, network methods, integer programming, and nonlinear programming. Prereq: Math 2313 and either Math 2013 or Math 2753 with grades of C- or better
MATH 3633 OPER RESEARCH 2:STOCHASTIC MODELS       2018-F/W
This course will focus on stochastic modelling. Topics may include decision analysis, simulation, recurrent events such as birth and death processes, Markov processes, queuing theory and waiting line models, and inventory control. Prereq: Math 2313 and either Math 2213 or Math 2233 with grades of C- or better
MATH 3713 ORDINARY DIFFERENTIAL EQUATIONS II Yes     2019-F/W
Topics include systems of linear differential equations, Sturm-Liouville problems, orthogonal functions, Fourier series, dynamical systems, nonlinear systems. Prereq: Math 1323 or 1333 and Math 2023 or 2723
MATH 3803 MATHEMATICS OF LIFE CONTINGENCIES 1       -
An introduction to the mathematics of life contingencies. Topics include: Life insurance, survival models, life tables and selection, insurance benefits, annuities, premium calculation, and policy values. The course is designed to prepare students for the MLC exam of the Society of Actuaries. Prereq or Coreq: Math 3213
MATH 3813 ACTUARIAL MODELS 1       -
An introduction to the construction and evaluation of Actuarial models. Topics include: measures of risk, continuous and discrete actuarial models, coverage modifications, aggregate loss models. The course is designed to prepare students for the C exam of the Society of Actuaries. Prereq or Coreq: Math 3213
MATH 3823 MODELS FOR FINANCIAL ECONOMICS       -
Interest rate models, valuation of derivative securities, arbitrage and put-call parity, option pricing using the binomial and Black-Scholes models cash flow characteristics of exotic options, diffusion processes, Itô's lemma, simulation, risk management techniques. The course is designed to prepare students for the MFE exam of the Society of Actuaries. Prereq: Math 2633, 3213
MATH 4013 TOPICS IN MATH AND STATS 1       2018-INT
Senior-level study of a particular topic in mathematics or statistics. Prereq: 6h Math at 3000 level with C- or better, and permission of dept.
MATH 4023 TOPICS IN MATH AND STATS 2       2016-F/W
Senior-level study of a particular topic in mathematics or statistics. Prereq: 6h Math at 3000 level with C- or better, and permission of dept.
MATH 4213 MATHEMATICAL STATISTICS Yes     2019-F/W
Sampling distributions, elementary decision theory, estimation, testing hypotheses. Prereq: Math 3213
MATH 4223 GENERALIZED LINEAR MODELS       2018-F/W
Review of least squares linear regression and maximum likelihood estimation. Generalized linear models, including binomial (logistic) regression, Poisson regression, contingency tables and log-linear models. Other topics in regression modelling such as survival analysis. Prereq: two of Math 3213, 3233, 3253, 3263, 3273, 3283, 3293
MATH 4233 STATISTICAL CONSULTING Yes     2019-F/W
The course aims to develop broad guidelines for a comprehensive approach to data analysis. Topics include data preparation, outlier detection and exploratory data analysis. Criteria for the selection of suitable methodologies are discussed as well as model validation methods and empirical evaluations methods. The course will be based largely on case studies. Prereq: 6h from Math 3233, Math 3253, Math 3263, Math 3273, Math 3293, with grades of C- or better 3h of which may be taken concurrently
MATH 4323 ALGEBRA 2       2018-F/W
Group theory, fields, field extensions, leading to Galois theory. Prereq: Math 3303
MATH 4333 CRYPTOGRAPHY Yes     2019-F/W
This course is an introduction to modern cryptographic techniques and their mathematical foundations. Review of elementary number theory and algebra; classical cryptosystems; encryption standards; public key cryptosystems; digital signatures. Elliptic curve cryptography and quantum cryptography may be included. Prereq: Math 3303 or 3513
MATH 4343 GRAPH THEORY Yes     2019-F/W
Isomorphism, classes of graphs, vertex degrees, graphics sequences, properties of trees, spanning trees, decompositions, Eulerian graphs, Hamilton graphs, matchings and factorizations including Hall's Theorem, connectivity, graph colouring, planar graphs including Euler's Formula, extremality, optimization. Prereq: Math 2313 and a Math 3000/4000 level course either taken previously or concurrently
MATH 4423 ADVANCED NUMERICAL METHODS       2009-F/W
Numerical differentiation and integration, numerical solution of differential equations, optimization. The solution of problems on a computer forms an integral part of the course. Prereq: Math 3413 and enrolment in one 3000-level mathematics and statistics course
MATH 4513 INTRODUCTORY TOPOLOGY       2018-F/W
Topics include topological spaces and metric spaces; closure, interior, boundary; bases for a topology; mappings and continuity; compactness and coverings; connectivity; product and quotient spaces. Additional topics such as the classification of surfaces, homotopy theory, and the fundamental group, if time permits. Prereq: Math 3533
MATH 4523 MEASURE & INTEGRATION       2004-F/W
Measurable sets. Lebesgue and Stieltjes integrals in Rn and abstract spaces. Selected applications. Prereq: Math 3533 with grade of C- or better
MATH 4553 REAL ANALYSIS 2 Yes     2019-F/W
A continuation of 3533. Topics include integration, infinite series and power series, convergence in Rn, topology in Rn, continuity and differentiability for multivariate functions, implicit and inverse function theorems, extra topics such as Fourier series if time permits. Prereq: Math 3533
MATH 4613 THEORY OF OPTIMIZATION       -
Linear and convex programming, convex functions and duality; Lagrange multipliers; Kuhn-Tucker methods. Topics may include: genetic algorithms, simulated annealing. Prereq: Math 3533 and Math 3603 with grades of C- or better
MATH 4753 PARTIAL DIFFERENTIAL EQUATIONS       2018-F/W
Topics may include linear second order partial differential equations (parabolic, elliptic, and hyperbolic), separation of variables, eigenfunction expansion, Fourier series, method of characteristics, non-linear waves. Prereq: Math 3713 and either Math 2013 or Math 2753 with grades of C- or better
MATH 4773 FLUID DYNAMICS Yes     2019-F/W
Topics may include the Navier-Stokes equations, streamlines, circulation, vorticity, irrotational flow, potential flow, laminar flow, gravity waves, dimensional analysis, geophysical fluid dynamics, turbulence, hydrodynamic instability. Prereq/Coreq: Math 4753 with a grade of C- or better or permission of the instructor
MATH 4803 MATHEMATICS OF LIFE CONTINGENCIES 2       -
Further topics in the mathematics of life contingencies. Topics include: multiple state models, pension mathematics, emerging costs for traditional life insurance and equity-linked insurance, option pricing, and embedded options. The course is designed to prepare students for the MLC exam of the Society of Actuaries. Prereq: Math 3803 with a grade of C- or better
MATH 4813 ACTUARIAL MODELS 2       -
Further topics on construction and evaluation of Actuarial models. Topics include: construction of empirical models, estimation for complete or modified data, parametric estimation methods, model selection, credibility, and simulation. The course is designed to prepare students for the C exam of the Society of Actuaries. Prereq: Math 3813 with a grade of C- or better
MATH 4913 HONOURS PROJECT       2017-F/W
A honours project in mathematics or statistics to be completed in conjunction with the honours student's advisor. An oral report (seminar) and a written report on the project are required in the second term. Prereq: at least third year standing in the honours program
MATH 4996 HONOURS THESIS Yes     2019-F/W
An honours thesis in mathematics or statistics to be completed in conjunction with the honours students supervisor. The course requirements include an oral report and a written thesis. Prereq: permission of thesis supervisor and department Antirequisite: Math 4913

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