Mathematics (MATH)
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MATH 1102 3 credits
Precalculus Algebra
Students will develop the computational skills and conceptual understanding of algebra, functions, and graphs necessary to proceed to more advanced mathematics thinking. They will study equations, inequalities, graphs, functions, right angle trigonometry, and applications to problem solving.
Level: UG
Prerequisite(s): Level E1 as defined in the Math Alternatives Table.
MATH 1112 3 credits
Pre-Calculus
Students will develop the conceptual understanding and computation skills that will provide a solid foundation for the study of calculus. They will study functions, their graphs, and their applications to problem solving. In particular they will study, polynomial, rational, exponential, logarithmic, and trigonometric functions. They will develop their ability to use and understand the concepts and language of mathematics
Level: UG
Prerequisite(s): Level C1 as defined in the Math Alternatives Table
MATH 1115 3 credits
Statistics I
Students will summarize and display data and perform inferences about proportions, means and standard deviations for one and two populations. Students will summarize and display data, find confidence intervals, and perform hypothesis tests for proportions, means, and standard deviations, for one and two populations, both large and small. They will also perform regression analysis, and determine probabilities.
Level: UG
Prerequisite(s): Level C1 as defined in the Math Alternatives Table
MATH 1116 3 credits
Mathematical Explorations
Students will study the structure and development of Mathematics from the point of view of the non-mathematician. They will study historical material on the development of classical mathematical ideas as well as the evolution and structure of more recent mathematics, gaining an appreciation of historical and contemporary mathematical thinking. This is an exploratory course in mathematics for students who have minimal mathematical background and whose major interests lie outside of the sciences. This course can be used to partially fulfill the quantitative requirement of the BA degree. It may not be used as a prerequisite for further Mathematics courses.
Level: UG
Prerequisite(s): Level E1 as defined in the Math Alternatives Table
MATH 1117 3 credits
Environmental Mathematics
Students will study algebraic concepts and methods, making use of them in general and environmental problem solving. They will study basic geometry and trigonometry, as well as functions (polynomial, rational, exponential, and logarithmic).
Level: UG
Prerequisite(s): Level E1 as defined in the Math Alternatives Table
MATH 1120 3 credits
Differential Calculus
Students will learn to differentiate algebraic and elementary transcendental functions and to apply these skills to graphing, maxima and minima, related rates, and rectilinear motion. They will be introduced to parametric curves and their differential calculus. Note: This course is credit excluded with MATH 1130. Students may enroll in and earn credit for only one of these courses.
Level: UG
Prerequisite(s): Level A1 as defined in the Math Alternatives Table
Credit Exclusion: MATH 1130
MATH 1130 3 credits
Calculus for Life Sciences I
Students will study differential calculus and its applications to biological sciences. In particular, they will study limits and differentiation of algebraic and elementary transcendental functions, with applications to graphing and optimization. Students with credit for MATH 1120 may not take MATH 1130 for further credit.
Level: UG
Prerequisite(s): Level B1 as defined in the Math Alternatives Table
Credit Exclusion: MATH 1120
MATH 1135 3 credits
Problems and Concepts
Students will develop skills in solving mathematical problems. They will study propositional and quantifier logic and apply this knowledge to solving problems and to elementary set theory, including relations and functions.
Level: UG
Prerequisite(s): Level C1 as defined in the Math Alternatives Table
MATH 1140 3 credits
Calculus I (Business Applications)
Students will study the differentiation of algebraic and elementary transcendental functions and apply these skills to graphing, finding maxima and minima and solving problems in business, economics and social sciences. Students will also study first and second order partial derivatives
Level: UG
Prerequisite(s): Level B1 as defined in the Math Alternatives Table
MATH 1152 3 credits
Matrix Algebra for Engineers
Students will solve systems of linear equations, and study the algebra of matrices, determinants, invertibility, eigenvalues and eigenvectors, diagonalizability and systems of linear Ordinary Differential Equations (ODE's). They will study the geometry of Euclidean space, dot and cross products, the arithmetic of complex numbers, exponentials of complex numbers, and the complex plane. Students will use a Computer Algebra System to solve problems in matrix algebra. Note:
Level: UG
MATH 1170 3 credits
Introduction to Data Science
This course provides students with their initial exposure to fundamental tools of data science, spanning various disciplines, including social sciences, life sciences, physical sciences, business and engineering. Participants will explore data manipulation, visualization, analysis, and interpretation using a programming language. The syllabus covers foundational classification and regression models, enabling students to forecast trends and recognize patterns within data sets. Real-world case studies offer hands-on experience in implementing a data science workflow. Students will craft compelling narratives to effectively convey the analytical results to non-technical audiences.
Level: UG
Prerequisite(s): Level C1 as defined in the Mathematics Alternatives Table
MATH 1190 4 credits
Mathematics for Elementary School Teachers
Students will study the theory and applications of arithmetic, geometry and data analysis (statistics). This course is designed for students planning a career as an elementary school teacher.
Level: UG
Prerequisite(s): Level E1 as defined in the Math Alternatives Table, and 9 credits from courses at the 1100 level or higher.
MATH 1216 3 credits
Mathematics in the Visual Arts
Students will study the mathematical principles, methods, and structures used in the visual arts. They will study Euclidean and non-Euclidean geometry, symmetry, tilings in the plane, fractal geometry, and perspective. Note: this course may not be used as a prerequisite for further mathematics courses.
Level: UG
Prerequisite(s): Level E1 as defined in the Math Alternatives Table.
MATH 1220 3 credits
Integral Calculus
Students will learn to integrate algebraic and elementary transcendental functions and to apply these skills to appropriate problems. In addition, they will learn the fundamental theorem of calculus, the integral calculus of parametric curves, Taylor polynomials, sequences and series and simple differential equations.
Level: UG
MATH 1230 3 credits
Calculus for Life Sciences II
Students will study integral calculus and its applications to biological sciences. In particular, they will study the techniques of integration, including integration by parts and partial fractions; differential equations, including systems of linear differential equations; and mathematical models in the biological sciences.
Level: UG
MATH 2232 3 credits
Linear Algebra
Students will study systems of linear equations, matrices, determinants, eigenvalues and eigenvectors, dot products, cross products, the Gram-Schmidt process, vector and scalar projections, lines and planes in Euclidean space. Students will also study vector spaces, including general vector spaces and subspaces, linear independence, spanning sets, bases, and linear transformations. Students will write simple proofs.
Level: UG
MATH 2315 3 credits
Probability and Statistics
Students will study introductory probability and statistics using a background of calculus. They will study concepts including randomness, probability, probability distributions for discrete and continuous random variables, descriptive statistics, multivariate distributions, laws of expectation, functions of random variables, statistical inference, and hypothesis testing. Distributions studied will include binominal, normal, geometric, hypergeometric, exponential and Poisson distributions.
Level: UG
MATH 2321 3 credits
Multivariate Calculus (Calculus III)
Students will study the calculus of three dimensions. They will study vectors, lines, planes, cylinders and surfaces; vector functions, space curves and motion in space; and differential and integral calculus of functions of several variables. Students will study optimization, including Lagrange Multipliers. They will study rectangular, polar, cylindrical and spherical coordinate systems. Students will study applied problems and use of a computer algebra system.
Level: UG
MATH 2331 3 credits
Introduction to Analysis
Students will study the theory that underlies differential and integral calculus. In particular, they will study real numbers, limits of sequences, limits of functions, continuity, and will learn how to construct proofs involving these concepts.
Level: UG
MATH 2335 3 credits
Statistics for Life Sciences
Students will learn statistical techniques and their application to life sciences. They will study descriptive statistics, elementary probability, probability distributions, in particular, the binomial, normal, t and chi-square distributions, confidence intervals and hypothesis testing for population means, and proportions, as well as for differences in population means and proportions. Students will also study linear regression, and the chi-square goodness-of-fit test. This course is credit excluded with MATH 2341. Students may enroll in and earn credit for only one of these courses. This course is credit excluded with STAT 2342. Students may enroll in and earn credit for only one of these courses.
Level: UG
Credit Exclusion: MATH 2341,STAT 2342
MATH 2410 3 credits
Discrete Mathematics
Students learn about the basic techniques of discrete mathematics which is mainly the study of discrete objects like integers. Topics will include methods of formal logic, reasoning and proof techniques including induction, relations and functions and their properties, sequences and recursion, set theory and cardinality, modular arithmetic, counting principles and techniques, and the study of graphs representing relations.
Level: UG
MATH 2721 3 credits
Complex Numbers and Linear Algebra
Students will use row reduction to solve systems of linear equations. They will study the algorithms for matrix multiplication, inversion, transposition, diagonalization, and computation of determinants, eigenvalues and eigenvectors, and apply these skills to practical problems. They will study the geometry of Euclidean spaces. They will study the arithmetic operations, exponentials and logarithms of complex numbers, and use them to solve a variety of applied problems in physics and engineering, including problems involving both ordinary and partial differential equations. Students will use a Computer Algebra System to solve problems in matrix algebra.
Level: UG
MATH 2821 3 credits
Multivariate and Vector Calculus
Students will study the principles of multivariate and vector calculus. They will study surfaces, partial derivatives, gradients, and multiple integrals in polar, cylindrical, and spherical coordinate systems. Students will also study derivatives of single-variable vector-valued functions, partial derivatives and multiple integrals of multivariable real-valued functions, vector fields, differential operators, line integrals and Green’s theorem, surface integrals, Stokes’ and the Divergence theorems, conservative fields, and potentials, with an emphasis on applications.
Level: UG
MATH 3110 3 credits
Simulation Modeling
Students will learn computer simulation and modeling techniques. They will learn simulation methodologies and techniques for random numbers and stochastic variate generation. They will also learn simulation design, analysis and estimation based on endogenously created data, simulation model validation and variance reduction. They will analyze and assess the sensitivity, applicability and limitations of each model. Students will implement simulation models for real-life applications using a computer programming language. Note: This course is credit excluded with CPSC 3110. Students may enroll in and earn credit for only one of these courses.
Level: UG
Credit Exclusion: CPSC 3110
MATH 3120 3 credits
Introduction to Applied Mathematics
Students will learn a variety of techniques and methods useful in applied mathematics. They will study the gamma function and hyperbolic trigonometric functions. Students will investigate power series and Frobenius series methods for solving ordinary differential equations, including selected important differential equations in mathematical physics. Furthermore, they will study Sturm-Liouville problems and orthogonal series. A brief introduction to partial differential equations and separation of variables will be provided.
Level: UG
MATH 3130 3 credits
Introduction to the Mathematics Classroom
Students will study and implement theories related to the teaching of mathematics. They will review and investigate current and past mathematics teaching practices. They will complete a project that integrates theory with practice and produce a portfolio of written work. Students will be required to apply theory through activities such as tutoring mathematics, assisting in a classroom, or developing curriculum materials. Note: EDUC 2220 (C) is recommended.
Level: UG
MATH 3140 3 credits
Mathematical Computing
Students will design and implement MATLAB and Maple programs to solve problems from mathematics and the applications of mathematics. They will be introduced to mathematical word- processing with LaTeX. Students are required to have a portable computer able to run software as designated by the instructor.
Level: UG
MATH 3150 3 credits
The Structure of Mathematics
Students will study the underlying structure of mathematics, including mathematical symbolism, introduction to set theory and introduction to logic. They will develop an understanding of methods of proof and an appreciation for the structure of mathematics.
Level: UG
MATH 3160 3 credits
Group Theory
Students will study the fundamental concepts and results of group theory. They will study groups, subgroups, normal subgroups, quotient groups, homomorphisms, Lagrange's theorem, the three isomorphism theorems, Cauchy's theorem, and direct products.
Level: UG
MATH 3170 3 credits
Complex Variables
Students will study complex numbers, functions of complex numbers, analytic functions, Cauchy-Riemann equations, elementary functions, contour integration, Cauchy's integral theorem and formula, seriesrepresentations of analytic functions, poles and residues, with applications to physics and engineering.
Level: UG
MATH 3250 3 credits
MATH 3315 3 credits
Applied Inferential Statistics
Students will be introduced to the standard techniques of multiple regression analysis. They will study simple regression, ANOVA, multivariable distributions, analysis of residuals and general linear models and their role in research.
Level: UG
MATH 3322 3 credits
Vector Calculus (Calculus IV)
Students will study the calculus of vector valued functions and vector fields. They will study derivatives of vector valued functions, the chain rule, Jacobians and invertibility, differential operators, line integrals and Green's theorem, surface integrals including divergence and Stokes' theorems, path independence and conservative fields and potentials.
Level: UG
MATH 3421 3 credits
Ordinary Differential Equations
Students will study solving first order differential equations, second order linear differential equations with constant coefficients, Laplace transforms, systems of linear differential equations, and applications of differential equations. Students will also be using a computer algebra system.
Level: UG
MATH 3431 3 credits
Partial Differential Equations
Students will study the wave equation, the heat equation, Laplace’s equation, and other classical equations of mathematical physics. They will study characteristic curves, solutions to the heat and wave equations on the infinite, semi-infinite and finite line, Fourier series, Laplace transforms, and numerical solutions using finite differences.
Level: UG
Prerequisite(s): MATH 3421
MATH 3450 3 credits
History of Mathematics
Students will study aspects of the history of mathematics from its earliest beginnings in solving concrete problems through the development of abstraction and rigour in the nineteenth and early twentieth centuries. They will examine and analyse both the growth of ideas and the context in which they developed, with emphasis on the mathematics taught in secondary school and the first two years of university study.
Level: UG
MATH 4130 3 credits
Theory of Mathematics Education
Students will explore theories and trends in mathematics education. They will survey significant historical, philosophical, psychological and societal factors influencing the development of mathematics education as a field of inquiry, and will critically examine and discuss current theories and research in mathematics instruction. They will investigate problem solving, reasoning and communication in mathematics. Note: EDUC 2220 is recommended.
Level: UG
MATH 4150 3 credits
Number Theory
Students will study the following topics: divisibility, properties of types of integer numbers, primes, congruences, Diophantine equations, primitive roots, and quadratic residues.
Level: UG
MATH 4190 3 credits
Introduction to Point-Set Topology
Students will study the fundamental concepts and results of point-set (general) topology. They will study sets, relations and functions, order, cardinality, Axiom of Choice, topological spaces, bases and subbases, continuity and homeomorphisms, metric spaces, countability and compactness.
Level: UG
MATH 4210 3 credits
Biomathematics
Students will study mathematical modelling and data analysis for biological systems. They will focus on developing and analysing dynamic models of biological systems and processes. They will study the mathematics of population dynamics, models of metabolic processes, genomics and epidemiology.
Level: UG
MATH 4220 3 credits
Numerical Methods
Students will study the theory and practical application of numerical methods for approximating solutions of linear and nonlinear problems. They will study solutions to nonlinear equations, interpolation and splines, numerical differentiation and integration, solution of initial and boundary value problems, and error sources and analysis. Students are required to have a portable computer able to run software as designated by the instructor.
Level: UG
MATH 4240 3 credits
Mathematical Modelling
Students will study the formation, analysis, and interpretation of mathematical models drawn from the physical, biological, economic, and social sciences. They will study continuous and discrete, deterministic and stochastic models. Students will use techniques such as differential and difference equations, matrix analysis, optimization, simple stochastic processes, and numerical methods. NOTE: Students are required to have a portable computer able to run software as designated by the instructor.
Level: UG
MATH 4250 3 credits
Special Topics in Mathematics
Students will study a particular advanced topic in mathematics, depending upon student interest and faculty availability. Note: Students may take this course multiple times for further credit on different topics.
Level: UG
MATH 4280 3 credits
Graph Theory and Applications
In this course, students will learn the foundations of graph theory, study its classical algorithms, and discover its applications in modeling real life problems. They will learn how sophisticated mathematical problems can be modeled and solved using graph theory and how, for example, shortest path algorithms find the shortest or the cheapest routes between locations of real-life networks. Classical problems like planarity, crossing numbers, spanning properties, chromatic number, independence, domination and matching, and their applications will be explored. Students will also learn about random and social networks and their properties and parameters. For example, they will understand why we live in a highly connected small world and what parameters influence our social structures and behaviours. Students become familiar with some of the leading network visualization and exploration software and tools.
Level: UG
MATH 4350 3 credits
Senior Project
Students will complete a substantial research project under the supervision of an instructor. They will identify relevant sources of information, in the form of a literature search and review, and submit a final paper investigating a research question. Students will present their project and research results.
Level: UG
Prerequisite(s): 9 MATH credits at the 3000-level or higher
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