Acadia University Online Course Catalog
2019  2020
Mathematics and Statistics
* Math 1013 X0 is a twosemester section of Introductory Calculus 1.
This section includes a review of topics from precalculus. Permission
of the department is required to register.

MATH 0110 
PREUNIVERSITY MATHEMATICS 
Yes 

Yes 
2019F/W 
Topics from high school mathematics. This noncredit 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 PREUNIVERSITY MATHEMATICS 
Yes 

Yes 
2019F/W 
Topics from precalculus mathematics. This noncredit 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 


2019F/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.
Antirequisites: 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 

2020INT 
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 


2019F/W 
Descriptive statistics, exploratory data analysis, correlation, least
squares line, probability, random variables, normal distribution,
sampling distributions, estimation and confidence intervals, elementary
hypothesis testing, oneway 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 

2020INT 
Binomial distribution and normal approximation to the Binomial,
hypothesis testing and nonparametric inference for one and two
populations, goodnessoffit and contingency tables, oneway 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 


2019F/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. Onetoone 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 


2019F/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 


2019F/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 proofbased 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 


2019F/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 Precalculus (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 



2011F/W 
The mathematical and statistical applications that appear in daytoday
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 
2019COR 
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 
2019F/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 

2019INT 
An indepth study of Patterns and Algebra across grades 410, 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 


2019F/W 
An indepth study of number (whole numbers, integers, fractions, and
decimals) across grades 410, 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 



2020INT 
An indepth study of 2 and 3dimensional Geometry across grades 410,
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 



2020INT 
An indepth study of Probability, Data Analysis, and Proportional
Reasoning across grades 410, 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 
2020INT 
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 mathematicallyexpressed realworld 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 


2019F/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.
Vectorvalued functions and vector calculus. (4.5hr lecture/lab studio
combined)
Prereq: Math 1023 with C or better

MATH 2023 
DIFFERENTIAL EQUATIONS I 
Yes 


2019F/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 


2019F/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 


2019F/W 
Estimation, confidence intervals, testing hypotheses, nonparametric
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 


2019F/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 


2019F/W 
Parametric and nonparametric inference for one and two populations,
chisquare 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 


2019F/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, GramSchmidt algorithm, inner product spaces, quadratic
forms, CayleyHamilton Theorem.
Prereq: Math 1323 or 1333

MATH 2433 
GRAPH THEORY/ALGEBRAIC STRUCTURES 



2010F/W 
Graphs and trees with application to computer science, number theory,
monoids, semigroups, 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 


2019F/W 
The Mathematical theory behind interestbased 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 


2019F/W 
First order differential equations, separation of variables, exact
differential equations, integrating factors, second order
differential equations with constant coefficients, general solutions,
nonhomogeneous 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 


2019F/W 
This course covers the calculus of vectorvalued functions and functions
of several variables. Topics include: vectors, dot product, cross
product, parameterized curves, arc length, differentiation and
integration of vectorvalued 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 



2017F/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 



2013F/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 


2019F/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 



2018F/W 
An introduction to the methodology and theory involved in multilinear
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 



2018F/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 



2018F/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 


2019F/W 
Single and multifactor analysis of variance, fixed and random effects
models, analysis of covariance, 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 


2019F/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 



2018F/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, treebased 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 



2018F/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 



2018F/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, inclusionexclusion, Polya's theorem,
designs.
Prereq: Math 2213 with a grade of C or better

MATH 3413 
NUMERICAL METHODS 



2018F/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 


2019F/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 


2019F/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 


2019F/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 



2003F/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, nonEuclidean 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 


2019F/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 



2018F/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 


2019F/W 
Topics include systems of linear differential equations, SturmLiouville
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
putcall parity, option pricing using the binomial and BlackScholes
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 



2018INT 
Seniorlevel 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 



2016F/W 
Seniorlevel 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 


2019F/W 
Sampling distributions, elementary decision theory, estimation,
testing hypotheses.
Prereq: Math 3213

MATH 4223 
GENERALIZED LINEAR MODELS 



2018F/W 
Review of least squares linear regression and maximum likelihood
estimation. Generalized linear models, including binomial (logistic)
regression, Poisson regression, contingency tables and loglinear
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 


2019F/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 



2018F/W 
Group theory, fields, field extensions, leading to Galois theory.
Prereq: Math 3303

MATH 4333 
CRYPTOGRAPHY 
Yes 


2019F/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 


2019F/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 



2009F/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 3000level mathematics and
statistics course

MATH 4513 
INTRODUCTORY TOPOLOGY 



2018F/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 



2004F/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 


2019F/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; KuhnTucker 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 



2018F/W 
Topics may include linear second order partial differential equations
(parabolic, elliptic, and hyperbolic), separation of variables,
eigenfunction expansion, Fourier series, method of characteristics,
nonlinear waves.
Prereq: Math 3713 and either Math 2013 or Math 2753 with grades of C
or better

MATH 4773 
FLUID DYNAMICS 
Yes 


2019F/W 
Topics may include the NavierStokes 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 equitylinked 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 



2017F/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 


2019F/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

Although this information is prepared with care, Acadia University accepts no responsibility for actions caused by misinformation.
