| Year | Course ID | Course |
|---|---|---|
| 2024-2025 | MATH 250 | Linear AlgebraSystems of linear equations, matrices, determinants, vector spaces, linear transformations, eigenvalues and eigenvectors, diagonalization applications, and linear programming. Course Credits: 3
Prerequisite(s): MATH 123 or 150. (3,0)
|
| 2025-2026 | MATH 250 | Linear AlgebraSystems of linear equations, matrices, determinants, vector spaces, linear transformations, eigenvalues and eigenvectors, diagonalization applications, and linear programming. Course Credits: 3
|
| 2025-2026 | MATH 290 | Mathematics for the EnvironmentExamines mathematical techniques for understanding place-based environmental issues, analyzing situations, and taking appropriate action. Students will apply methods for collecting, understanding, and displaying data effectively, including gathering environmental data outdoors, then make conclusions using basic inferential statistics. Students will also examine the use of stock-flow systems and other mathematical tools to model interacting populations, energy, pollution spread, recycling, and financial networks. Course Credits: 3
|
| 2024-2025 | MATH 310 | Mathematical StatisticsThe mathematics of inferential statistics. Topics include probability distributions and densities, expectation, moment-generating functions, functions of random variables, limiting distributions, and the theory behind statistical methods such as estimation, hypothesis testing, regression and correlation. Course Credits: 3
Prerequisite(s): MATH/STAT 203, MATH 223. (3-0)
Cross-listed: STAT 310 |
| 2025-2026 | MATH 310 | Mathematical StatisticsThe mathematics of inferential statistics. Topics include probability distributions and densities, expectation, moment-generating functions, functions of random variables, limiting distributions, and the theory behind statistical methods such as estimation, hypothesis testing, regression and correlation. Course Credits: 3
|
| 2024-2025 | MATH 311 | Ordinary Differential EquationsFirst-order differential equations, linear differential equations, Laplace transforms, systems of differential equations, non-linear systems, series solutions, applications in the physical, biological, social, and engineering sciences. Course Credits: 3
Prerequisite(s): MATH 124, 250.
NB: Credit is granted for only one of MATH 311 or MATH 321. Not offered every year. See department chair.
|
| 2025-2026 | MATH 311 | Ordinary Differential EquationsFirst-order differential equations, linear differential equations, Laplace transforms, systems of differential equations, non-linear systems, series solutions, applications in the physical, biological, social, and engineering sciences. Course Credits: 3
NB: Credit is granted for only one of MATH 311 or MATH 321. Not offered every year. See department chair.
|
| 2024-2025 | MATH 313 | The Real LineIntroduction to principles of real analysis. Topics include rational numbers, completeness, sequences, limits, continuity, and implications to Calculus. Course Credits: 3
Prerequisite(s): MATH 124, 150.
NB: Credit is granted for only one of MATH 313 or MATH 323. Not offered every year. See department chair.
|
| 2025-2026 | MATH 313 | The Real LineIntroduction to principles of real analysis. Topics include rational numbers, completeness, sequences, limits, continuity, and implications to Calculus. Course Credits: 3
NB: Credit is granted for only one of MATH 313 or MATH 323. Not offered every year. See department chair.
|
| 2024-2025 | MATH 320 | Complex VariablesFunctions of a complex variable, differentiation, analytic and elementary functions, Cauchy's theorem and contour integration, Taylor and Laurent series, residues and poles, and conformal mapping. Emphasis is placed on physical applications. Course Credits: 3
Prerequisite(s): MATH 223.
NB: Not offered every year. See department chair.
|
| 2025-2026 | MATH 320 | Complex VariablesFunctions of a complex variable, differentiation, analytic and elementary functions, Cauchy's theorem and contour integration, Taylor and Laurent series, residues and poles, and conformal mapping. Emphasis is placed on physical applications. Course Credits: 3
NB: Not offered every year. See department chair.
|
| 2024-2025 | MATH 321 | Differential EquationsFirst-order differential equations, linear differential equations, Laplace transforms, systems of differential equations, non-linear systems, series solutions, introduction to partial differential equations. Special emphasis is placed on applications to physics and engineering. Course Credits: 4
MATH 223, 250. (4-0 or 4-0)
NB: Credit is granted for only one of MATH 311 or MATH 321.
Cross-listed: PHYS 321. |
| 2025-2026 | MATH 321 | Differential EquationsFirst-order differential equations, linear differential equations, Laplace transforms, systems of differential equations, non-linear systems, series solutions, introduction to partial differential equations. Special emphasis is placed on applications to physics and engineering. Course Credits: 4
NB: Credit is granted for only one of MATH 311 or MATH 321.
|
| 2024-2025 | MATH 323 | AnalysisSequences and induction; convergence of sequences and series; limits, continuity, and differentiability; Riemann integrals; sequences of functions and an introduction to topology. Course Credits: 4
Prerequisite(s): MATH 150, 223. (4-0)
NB: Credit is granted for only one of MATH 313 or MATH 323.
|
| 2025-2026 | MATH 323 | AnalysisSequences and induction; convergence of sequences and series; limits, continuity, and differentiability; Riemann integrals; sequences of functions and an introduction to topology. Course Credits: 4
NB: Credit is granted for only one of MATH 313 or MATH 323.
|
| 2024-2025 | MATH 330 | Numerical AnalysisThis course covers numerical techniques for solving problems in applied mathematics, including error analysis, roots of equations, interpolation, numerical differentiation and integration, ordinary differential equations, matrix methods and selected topics from among: eigenvalues, approximation theory, non-linear systems, boundary-value problems, numerical solution of partial differential equations. Course Credits: 4
Prerequisite(s): MATH 223, 250; CMPT 140. (4-0)
MATH 223, 250; CMPT 140 or equivalent. (4-0 or 4-0)
NB: Not offered every year. See department chair
Cross-listed: CMPT 330. |
| 2025-2026 | MATH 330 | Numerical AnalysisThis course covers numerical techniques for solving problems in applied mathematics, including error analysis, roots of equations, interpolation, numerical differentiation and integration, ordinary differential equations, matrix methods and selected topics from among: eigenvalues, approximation theory, non-linear systems, boundary-value problems, numerical solution of partial differential equations. Course Credits: 4
NB: Not offered every year. See department chair.
|
| 2024-2025 | MATH 333 | Mathematics of Data ScienceFoundational mathematical concepts underpinning theoretical frameworks in data science that depend on linear algebra and multivariable calculus, with applications chosen from machine learning, statistical inference, and data assimilation. Possible topics include matrix decompositions, gradient and multivariate chain rule, Lagrange multipliers and constrained optimization, maximum likelihood, and Bayesian estimation. Course Credits: 3
Prerequisite(s): MATH 223, 250
NB: Not offered every year. See department chair.
|
| 2025-2026 | MATH 333 | Mathematics of Data ScienceFoundational mathematical concepts underpinning theoretical frameworks in data science that depend on linear algebra and multivariable calculus, with applications chosen from machine learning, statistical inference, and data assimilation. Possible topics include matrix decompositions, gradient and multivariate chain rule, Lagrange multipliers and constrained optimization, maximum likelihood, and Bayesian estimation. Course Credits: 3
NB: Not offered every year. See department chair.
|
| 2025-2026 | MATH 340 | Discrete Structures & ComputingThis is a second course in the topics of pure mathematics, particularly those most commonly used in the study of Computing Science and related applications. It includes proof techniques, models of computation, formal languages, analysis of algorithms, trees and advanced general graph theory with applications, finite state and automata theory, encryption, and an elementary introduction to mathematical structures such as groups, rings, and fields. Course Credits: 3
NB: Not offered every year. See department chair.
|
| 2024-2025 | MATH 340 | Discrete Structures and ComputingThis is a second course in the topics of pure mathematics, particularly those most commonly used in the study of Computing Science and related applications. It includes proof techniques, models of computation, formal languages, analysis of algorithms, trees and advanced general graph theory with applications, finite state and automata theory, encryption, and an elementary introduction to mathematical structures such as groups, rings, and fields. Course Credits: 3
Prerequisite(s): CMPT 150 or MATH 150.
NB: Not offered every year. See department chair
Cross-listed: CMPT 340. |
| 2024-2025 | MATH 370 | GeometryFinite geometries, transformations, Euclidean geometry, constructions, inverse geometry, projective geometry, non-Euclidean geometry. Course Credits: 3
Prerequisite(s): MATH 223, 250.
NB: Not offered every year. See department chair
|
| 2025-2026 | MATH 370 | GeometryFinite geometries, transformations, Euclidean geometry, constructions, inverse geometry, projective geometry, non-Euclidean geometry. Course Credits: 3
NB: Not offered every year. See department chair.
|
| 2024-2025 | MATH 381 | Topological Data AnalysisThe development of ideas from topology to manipulate and analyze datasets. Several topics from algebraic topology, geometry, linear algebra, abstract algebra, algorithms, and statistics will be utilized to understand recent results in data analysis. Students will use software for calculations such as persistent homology and Reeb graphs. Applications in fields such as image analysis, sensor networks, clustering, time series analysis, and genetics are discussed. Course Credits: 3
Prerequisite(s): MATH 250
|
| 2025-2026 | MATH 381 | Topological Data AnalysisThe development of ideas from topology to manipulate and analyze datasets. Several topics from algebraic topology, geometry, linear algebra, abstract algebra, algorithms, and statistics will be utilized to understand recent results in data analysis. Students will use software for calculations such as persistent homology and Reeb graphs. Applications in fields such as image analysis, sensor networks, clustering, time series analysis, and genetics are discussed. Course Credits: 3
|
| 2024-2025 | MATH 390 | Number TheoryThis course includes a study of the ideas of classical number theory, their historical development, and modern applications. Topics include divisibility and prime numbers, modular arithmetic, primality tests, primitive roots, quadratic reciprocity, Diophantine equations, continued fractions, and applications such as cryptography. Course Credits: 3
Prerequisite(s): Third year standing and an understanding of mathematical proof techniques, or instructor's consent.
|
| 2025-2026 | MATH 390 | Number TheoryThis course includes a study of the ideas of classical number theory, their historical development, and modern applications. Topics include divisibility and prime numbers, modular arithmetic, primality tests, primitive roots, quadratic reciprocity, Diophantine equations, continued fractions, and applications such as cryptography. Course Credits: 3
|
| 2024-2025 | MATH 400 | Directed Studies in MathematicsStudents are required to produce an outline of the topic to be studied in consultation with the instructor. A course of reading and/or research is pursued according to the approved outline. Assessment may be via examination and/or a final written report. Course Credits: 3
Prerequisite(s): Advanced standing in mathematics or instructor’s consent.
NB: This course with the appropriate choice of topics can be used as a preparation for the senior thesis (MATH 410).
|
| 2025-2026 | MATH 400 | Directed Studies in MathematicsStudents are required to produce an outline of the topic to be studied in consultation with the instructor. A course of reading and/or research is pursued according to the approved outline. Assessment may be via examination and/or a final written report. Course Credits: 3
NB: This course with the appropriate choice of topics can be used as a preparation for the senior thesis (MATH 410).
|
| 2024-2025 | MATH 409 | Thesis PreparationIn consultation with a faculty advisor students choose a mathematics topic for experiential inquiry that will develop into a senior thesis (MATH 410). Through student exploration and advisor feedback a selection of relevant readings and references are examined. A final written report is presented consisting of a detailed thesis proposal and a review of the literature. Course Credits: 1
Prerequisite(s): Advanced standing in mathematics or instructor's consent.
|
| 2025-2026 | MATH 409 | Thesis PreparationIn consultation with a faculty advisor students choose a mathematics topic for experiential inquiry that will develop into a senior thesis (MATH 410). Through student exploration and advisor feedback a selection of relevant readings and references are examined. A final written report is presented consisting of a detailed thesis proposal and a review of the literature. Course Credits: 1
|
| 2024-2025 | MATH 410 | Senior ThesisStudent-led inquiry into a chosen area of mathematics with a final written report on the research. Course Credits: 2
Prerequisite(s): MATH 409, a related directed study in preparation, or instructor's consent.
NB: Normally 2 sem. hrs. are assigned unless arrangements are made with the department chair. If 3 sem. hrs. are required, MATH 411 is taken.
|
| 2025-2026 | MATH 410 | Senior ThesisStudent-led inquiry into a chosen area of mathematics with a final written report on the research. Course Credits: 2
NB: Normally 2 sem. hrs. are assigned unless arrangements are made with the department chair. If 3 sem. hrs. are required, MATH 411 is taken.
|
| 2024-2025 | MATH 411 | Senior ThesisResearch in a chosen area of mathematics with a final written report. Course Credits: 3
Prerequisite(s): MATH 409, a related directed study in preparation, or instructor’s consent.
|
| 2025-2026 | MATH 411 | Senior ThesisResearch in a chosen area of mathematics with a final written report. Course Credits: 3
|
| 2024-2025 | MATH 420 | Topics in MathematicsA study of advanced topics in mathematics that are not considered in depth in other courses. Course Credits: 3
NB: Not offered every year. See department chair. Entry restricted to third and fourth year students who meet the prerequisites for the topic to be offered. (3-0 or 3-0)
|
| 2025-2026 | MATH 420 | Topics in MathematicsA study of advanced topics in mathematics that are not considered in depth in other courses. Course Credits: 3
NB: Not offered every year. See department chair. Entry restricted to third- and fourth-year students who meet the prerequisites for the topic to be offered.
|
| 2024-2025 | MATH 450 | Modern AlgebraAbstract algebra including group, field, and ring theory; algebraic systems, polynomial theory and additional topics in modern and abstract algebra as time permits. Course Credits: 3
Prerequisite(s): MATH 150 and 250, third year standing or better (a 300 level Mathematics course such as 323, 340, 370 or 390 is recommended), and a very good understanding of mathematical proof techniques, or instructor’s consent. (3-0 or 3-0)
NB: Not offered every year. See Department chair.
|
| 2025-2026 | MATH 450 | Modern AlgebraAbstract algebra including group, field, and ring theory; algebraic systems, polynomial theory and additional topics in modern and abstract algebra as time permits. Course Credits: 3
NB: Not offered every year. See department chair.
|
| 2024-2025 | MBA 501 | Marketing ManagementThe course explores the theoretical underpinnings of the discipline of marketing in order to develop a conceptual framework to critique the practice of marketing in the early 21st century. The course utilizes extensive case analysis techniques to enhance the manager's ability to develop and critique marketing plans in both the for-profit and non-profit sectors. Course Credits: 3
|
| 2025-2026 | MBA 501 | Marketing ManagementThe course explores the theoretical underpinnings of the discipline of marketing in order to develop a conceptual framework to critique the practice of marketing in the early 21st century. The course utilizes extensive case analysis techniques to enhance the manager's ability to develop and critique marketing plans in both the for-profit and non-profit sectors. Course Credits: 3
|
| 2024-2025 | MBA 521 | Managerial AccountingManagerial Accounting provides managers with an understanding of internal reporting of operating results, including the tools they need to interpret key financial information and improve overall performance. Management accounting plays a vital decision-making role in today's lean organization. Topics include cost concepts and applications, cost-volume-profit relationships, product costing, budgeting, and standard costing. Course Credits: 3
|
| 2025-2026 | MBA 521 | Managerial AccountingManagerial Accounting provides managers with an understanding of internal reporting of operating results, including the tools they need to interpret key financial information and improve overall performance. Management accounting plays a vital decision-making role in today's lean organization. Topics include cost concepts and applications, cost-volume-profit relationships, product costing, budgeting, and standard costing. Course Credits: 3
|
| 2024-2025 | MBA 525 | Managerial EconomicsThe course applies economic theories and quantitative methods to management decision-making. Solutions for many important management decision problems in the areas of product selection, pricing, investment, and organization design can be found in managerial economics using relevant economic theories and quantitative methods. Topics include theory of the firm, theory of consumer demand, industrial organization, game theory, forecasting, statistical estimation, decision-making under uncertainty, and capital budgeting. Course Credits: 3
|
| 2025-2026 | MBA 525 | Managerial EconomicsThe course applies economic theories and quantitative methods to management decision-making. Solutions for many important management decision problems in the areas of product selection, pricing, investment, and organization design can be found in managerial economics using relevant economic theories and quantitative methods. Topics include theory of the firm, theory of consumer demand, industrial organization, game theory, forecasting, statistical estimation, decision-making under uncertainty, and capital budgeting. Course Credits: 3
|
| 2024-2025 | MBA 542 | Managerial FinanceThe course provides an opportunity for the manager to develop good understanding in the areas of capital investment and financing. The capital investment decision allocates scarce resources to projects in the organization and involves asset valuation, capital budgeting, risk management, working capital management, and performance assessment. The financing decision chooses sources of cash to finance the investment decisions and involves capital structure, financial instruments, the risk-return trade-off, financial planning, and the cost of capital. Ethical considerations and management in the global context from a Christian worldview are integrated into these topics. Course Credits: 3
|
| 2025-2026 | MBA 542 | Managerial FinanceThe course provides an opportunity for the manager to develop good understanding in the areas of capital investment and financing. The capital investment decision allocates scarce resources to projects in the organization and involves asset valuation, capital budgeting, risk management, working capital management, and performance assessment. The financing decision chooses sources of cash to finance the investment decisions and involves capital structure, financial instruments, the risk-return trade-off, financial planning, and the cost of capital. Ethical considerations and management in the global context from a Christian worldview are integrated into these topics. Course Credits: 3
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| 2024-2025 | MBA 552 | Human Resource ManagementThis course focuses on the strategic use of human resource practices to reinforce and support the core capabilities of the organization. The course reviews the functions of human resource management, organizational behaviour, and organizational theory within a business and a non-profit setting, with a special emphasis on doing business in the global marketplace. The course examines how organizations plan for, attract, retain, and manage employees for a sustained competitive advantage. Course Credits: 3
|
| 2025-2026 | MBA 552 | Human Resource ManagementThis course focuses on the strategic use of human resource practices to reinforce and support the core capabilities of the organization. The course reviews the functions of human resource management, organizational behaviour, and organizational theory within a business and a non-profit setting, with a special emphasis on doing business in the global marketplace. The course examines how organizations plan for, attract, retain, and manage employees for a sustained competitive advantage. Course Credits: 3
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| 2024-2025 | MBA 570 | Information & Knowledge Management SystemsThis course provides an overview and understanding of the issues involved in the strategic management of the information and knowledge assets of national, international, and transnational organizations. The course examines a broad range of issues and problems associated with information systems (IS) and knowledge management systems (KMS) and their alignment with the strategic goals of an organization. The course includes a comparative study of present theories with particular attention to the role of computer-based information and knowledge management systems in the organizational policy of a variety of business, government, and other institutions. Course Credits: 3
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