math 100 - calculus i 3.5 (fi 6) (either term, 3 · ★ 3 (fi 6) (either term, 3-0-0) techniques...

Department of Mathematical & Statistical Sciences Course Changes

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Current Proposed

MATH 100 - Calculus I ★ 3.5 (fi 6) (either term, 3-0-1) Review of numbers, inequalities, functions, analytic geometry; limits, continuity; derivatives and applications, Taylor polynomials; log, exp, and inverse trig functions. Integration, fundamental theorem of calculus substitution, trapezoidal and Simpson’s rules. Prerequisites: Pure Mathematics 30 or Mathematics 30-1 or equivalent, and Mathematics 31. Notes: (1) Credit can be obtained in at most one of MATH 100, 113, 114, 117, 134, 144, or SCI 100. (2) Students in all sections of this course will write a common final examination. (3) Restricted to Engineering students. Non-Engineering students who take this course will receive *3.0.

MATH 100 - Calculus I ★ 3.5 (fi 6) (either term, 3-0-1) Review of numbers, inequalities, functions, analytic geometry; limits, continuity; derivatives and applications, Taylor polynomials; log, exp, and inverse trig functions. Integration, fundamental theorem of calculus substitution, trapezoidal and Simpson’s rules. Prerequisites: Mathematics 30-1 and Mathematics 31. Notes: (1) Credit can be obtained in at most one of MATH 100, 113, 114, 117, 134, 144, 154, or SCI 100. (2) Students in all sections of this course will write a common final examination. (3) Restricted to Engineering students. Non-Engineering students who take this course will receive *3.0.

MATH 101 - Calculus II ★ 3.5 (fi 6) (either term, 3-0-1) Area between curves, techniques of integration. Applications of integration to planar areas and lengths, volumes and masses. First order ordinary differential equations: separable, linear, direction fields, Euler’s method, applications. Infinite series, power series, Taylor expansions with remainder terms. Polar coordinates. Rectangular, spherical and cylindrical coordinates in 3-dimensional space. Parametric curves in the plane and space: graphing, arc length, curvature; normal binormal, tangent plane in 3-dimensional space. Volumes and surface areas of rotation. Prerequisite: MATH 100. Notes: (1) Credit can be obtained in at most one of MATH 101, 115, 118, 146, or SCI 100. (2) Students in all sections of this course will write a common final examination. (3) Restricted to Engineering students. Non-Engineering students who take this course will receive *3.0.

MATH 101 - Calculus II ★ 3.5 (fi 6) (either term, 3-0-1) Area between curves, techniques of integration. Applications of integration to planar areas and lengths, volumes and masses. First order ordinary differential equations: separable, linear, direction fields, Euler’s method, applications. Infinite series, power series, Taylor expansions with remainder terms. Polar coordinates. Rectangular, spherical and cylindrical coordinates in 3-dimensional space. Parametric curves in the plane and space: graphing, arc length, curvature; normal binormal, tangent plane in 3-dimensional space. Volumes and surface areas of rotation. Prerequisite: MATH 100. Notes: (1) Credit can be obtained in at most one of MATH 101, 115, 118, 136, 146, 156 or SCI 100. (2) Students in all sections of this course will write a common final examination. (3) Restricted to Engineering students. Non-Engineering students who take this course will receive *3.0.


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MATH 102 - Applied Linear Algebra ★ 3.5 (fi 6) (either term, 3-0-1) Vectors and matrices, solution of linear equations, equations of lines and planes, determinants, matrix algebra, orthogonality and applications (Gram-Schmidt), eigenvalues and eigenvectors and applications, complex numbers. Prerequisite or corequisite MATH 100. Notes: (1) Credit can be obtained in at most one of MATH 102, 120, 125, or 127. (2) Students in all sections of this course will write a common final examination. (3) Restricted to Engineering students. Non-Engineering students who take this course will receive *3.0.

MATH 102 - Applied Linear Algebra ★ 3.5 (fi 6) (either term, 3-0-1) Vectors and matrices, solution of linear equations, equations of lines and planes, determinants, matrix algebra, orthogonality and applications (Gram-Schmidt), eigenvalues and eigenvectors and applications, complex numbers. Prerequisite or corequisite: MATH 100. Notes: (1) Credit can be obtained in at most one of MATH 102, 125, or 127. (2) Students in all sections of this course will write a common final examination. (3) Restricted to Engineering students. Non-Engineering students who take this course will receive *3.0.

MATH 114 - Elementary Calculus I ★ 3 (fi 6) (either term, 3-0-0) Review of analytic geometry. Differentiation of elementary, trigonometric, exponential, and logarithmic functions. Applications of the derivative. Integration. Fundamental Theorem of Calculus. Prerequisite: Pure Mathematics 30 or Mathematics 30-1 or equivalent. Note: Credit can be obtained in at most one of MATH 100, 113, 114, 117, 134, 144, or SCI 100.

MATH 114 - Elementary Calculus I ★ 3 (fi 6) (either term, 3-0-0) Review of analytic geometry. Differentiation of elementary, trigonometric, exponential, and logarithmic functions. Applications of the derivative. Integration. Fundamental Theorem of Calculus. Prerequisite: Mathematics 30-1. Note: Credit can be obtained in at most one of MATH 100, 113, 114, 117, 134, 144, 154 or SCI 100.

MATH 115 - Elementary Calculus II ★ 3 (fi 6) (either term, 3-0-0) Inverse trigonometric functions. Techniques of integration. Improper integrals. Applications of the definite integral. Introduction to differential equations. Prerequisite: MATH 100, 113, 114, 117, 134, or 144, or equivalent. Note: Credit can be obtained in at most one of MATH 101, 115, 118, 146, or SCI 100.

MATH 115 - Elementary Calculus II ★ 3 (fi 6) (either term, 3-0-0) Inverse trigonometric functions. Techniques of integration. Improper integrals. Applications of the definite integral. Introduction to differential equations. Prerequisite: One of MATH 100, 113, 114, 117, 134, 144 or 154. Note: Credit can be obtained in at most one of MATH 101, 115, 118, 136, 146, 156 or SCI 100.

MATH 117 - Honors Calculus I ★ 3 (fi 6) (first term, 4-0-0) Functions, continuity, and the derivative. Applications of the derivative. Extended limits and L’Hospital’s rule. Prerequisites: Pure Mathematics 30 or Mathematics 30-1 or equivalent, and Mathematics 31 or

MATH 117 - Honors Calculus I ★ 3 (fi 6) (first term, 4-0-0) Functions, continuity, and the derivative. Applications of the derivative. Extended limits and L’Hospital’s rule. Prerequisites: Mathematics 30-1 and Mathematics 31, or consent of the Department. Notes: (1) This course is


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equivalent, or consent of Department. Notes: (1) This course is designed for students with at least 80 percent in Pure Mathematics 30 or Mathematics 30-1 and Mathematics 31. (2) Credit can be obtained in at most one of MATH 100, 113, 114, 117, 134, 144, or SCI 100. (3) Engineering students will receive a weight of 4.0 units for this course.

designed for students with at least 80 percent in Pure Mathematics 30 or Mathematics 30-1 and Mathematics 31. (2) Credit can be obtained in at most one of MATH 100, 113, 114, 117, 134, 144, 154 or SCI 100. (3) Engineering students will receive a weight of 4.0 units for this course.

MATH 118 - Honors Calculus II ★ 3 (fi 6) (second term, 4-0-0) Integration and the Fundamental Theorem. Techniques and applications of integration. Derivatives and integrals of the exponential, and trigonometric functions. Introduction to infinite series. Introduction to partial derivatives. Prerequisite: MATH 117 or its equivalent. Students with MATH 100, 113, 114, 134, or 144 will be admitted with consent of Department. Note: Credit can be obtained in at most one of MATH 101, 115, 118, 146, or SCI 100. Engineering students will receive a weight of 4.0 units for this course.

MATH 118 - Honors Calculus II ★ 3 (fi 6) (second term, 4-0-0) Integration and the Fundamental Theorem. Techniques and applications of integration. Derivatives and integrals of the exponential, and trigonometric functions. Introduction to infinite series. Introduction to partial derivatives. Prerequisite: MATH 117. (Students with a 100-level calculus course different from MATH 117 may be admitted with consent of the Department.) Notes: (1) Credit can be obtained in at most one MATH 101, 115, 118, 136, 146, 156 or SCI 100. (2) Engineering students will receive a weight of 4.0 units for this course.

MATH 125 - Linear Algebra I ★ 3 (fi 6) (either term, 3-0-0) Systems of linear equations. Vectors in n-space, vector equations of lines and planes. Matrix algebra, inverses and invertibility. Introduction to linear transformations. Subspaces of n-space. Determinants. Introduction to eigenvalues and eigenvectors. The dot product and orthogonality. Applications in a variety of fields, numerical methods. Prerequisites: Mathematics 30-1. Credit can be obtained in at most one of MATH 102, 120, 125 or 127.

MATH 125 - Linear Algebra I ★ 3 (fi 6) (either term, 3-0-0) Systems of linear equations. Vectors in n-space, vector equations of lines and planes. Matrix algebra, inverses and invertibility. Introduction to linear transformations. Subspaces of n-space. Determinants. Introduction to eigenvalues and eigenvectors. Complex numbers. Dot product, cross product and orthogonality. Applications in a variety of fields. Prerequisite: Mathematics 30-1. Note: Credit can be obtained in at most one of MATH 102, 125 or 127.

MATH 127 - Honors Linear Algebra I ★ 3 (fi 6) (first term, 3-0-0) Systems of linear equations; vectors in Euclidean n-space; span and linear independence in Euclidean n-space; dot and cross product; orthogonality; lines and planes; matrix arithmetic;

MATH 127 - Honors Linear Algebra I ★ 3 (fi 6) (first term, 3-0-0) Systems of linear equations; vectors in Euclidean n-space; span and linear independence in Euclidean n-space; dot and cross product; orthogonality; lines and planes; matrix arithmetic;


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determinants; introduction to eigenvectors and eigenvalues; introduction to linear transformations; complex numbers; vector space axioms; subspaces and quotients. Prerequisite: Mathematics 30-1. Note: Credit can be obtained in at most one of Math 102, 120,125, or 127.

determinants; introduction to eigenvectors and eigenvalues; introduction to linear transformations; complex numbers; vector space axioms; subspaces and quotients. Prerequisite: Mathematics 30-1. Note: Credit can be obtained in at most one of Math 102, 125 or 127.

MATH 134 - Calculus for the Life Sciences I ★ 3 (fi 6) (either term, 3-0-0) The derivative as a rate of change. Differentiation of elementary, trigonometric, exponential, and logarithmic functions. The definite integral as a summation. Integration. The Fundamental Theorem of Calculus. Applications of the derivative and the definite integral in the context of the life sciences. Prerequisite: Pure Mathematics 30 or Mathematics 30-1 or equivalent. Note: Credit can be obtained in at most one of MATH 100, 113, 114, 117, 134, 144, or SCI 100.

MATH 134 - Calculus for the Life Sciences I ★ 3 (fi 6) (either term, 3-0-0) The derivative as a rate of change. Differentiation of elementary, trigonometric, exponential, and logarithmic functions. The definite integral as a summation. Integration. The Fundamental Theorem of Calculus. Applications in the context of the life sciences. Prerequisite: Mathematics 30-1. Note: Credit can be obtained in at most one of MATH 100, 113, 114, 117, 134, 144, 154 or SCI 100.

MATH 136 - Calculus for the Life Sciences II ★ 3 (fi 6) (either term, 3-0-0) Techniques and applications of integration. Improper integrals. Differential equations and mathematical modelling. Partial differentiation. Applications in the context of the life sciences. Prerequisite: One of MATH 100, 113, 114, 117, 134, 144 or 154. Note: Credit can be obtained in at most one of MATH 101, 115, 118, 136, 146, 156 or SCI 100.

MATH 144 - Calculus for the Physical Sciences I ★ 3 (fi 6) (either term, 3-0-0) Tangents, velocity, and derivatives. Differentiation of elementary, trigonometric, exponential, and logarithmic functions. The derivative as a rate of change. Area, displacement, and the definite integral. Integration. Fundamental Theorem of Calculus. Applications of the derivative and the definite integral in the

MATH 144 - Calculus for the Physical Sciences I ★ 3 (fi 6) (either term, 3-0-0) The derivative as a rate of change. Differentiation of elementary, trigonometric, exponential, and logarithmic functions. The definite integral as a summation. Integration. The Fundamental Theorem of Calculus. Taylor polynomials. Applications in the context of the physical sciences. Prerequisite: Mathematics 30-1.


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context of the physical sciences. Prerequisite: Pure Mathematics 30 or Mathematics 30-1 or equivalent. Credit can be obtained in at most one of MATH 100, 113, 114, 117, 134, 144, or SCI 100.

Note: Credit can be obtained in at most one MATH 100, 113, 114, 117, 134, 144, 154 or SCI 100.

MATH 146 - Calculus for the Physical Sciences II ★ 3 (fi 6) (either term, 3-0-0) Inverse trigonometric functions. Techniques of integration. Improper integrals. Volumes, arc length, surface area, and work. Introduction to differential equations. Applications in the context of the physical sciences. Prerequisite: MATH 100 or 113 or 114 or 117 or 134 or 144 or equivalent. Note: Credit can be obtained in at most one of MATH 101, 115, 118, 146, or SCI 100.

MATH 146 - Calculus for the Physical Sciences II ★ 3 (fi 6) (either term, 3-0-0) Techniques and applications of integration. Improper integrals. Introduction to differential equations. Partial differentiation. Applications in the context of the physical sciences. Prerequisite: One of MATH 100, 113, 114, 117, 134, 144 or 154. Note: Credit can be obtained in at most one of MATH 101, 115, 118, 136, 146, 156 or SCI 100.

MATH 154 - Calculus for Business and Economics I ★ 3 (fi 6) (either term, 3-0-0) The derivative as a rate of change. Differentiation of elementary, trigonometric, exponential, and logarithmic functions. The definite integral as a summation. Integration. The Fundamental Theorem of Calculus. Optimization. Applications in the context of business and economics. Prerequisite: Mathematics 30-1. Note: Credit can be obtained in at most one of MATH 100, 113, 114, 117, 134, 144, 154 or SCI 100.

MATH 156 - Calculus for Business and Economics II ★ 3 (fi 6) (either term, 3-0-0) Techniques and applications of integration. Improper integrals. Partial differentiation. Multivariate optimization. Probability and calculus. Applications in the context of business and economics. Prerequisite: One of MATH 100, 113, 114, 117, 134, 144 or 154. Note: Credit can be obtained in at most one of MATH 101, 115, 118, 136, 146, 156 or SCI 100.

MATH 201 - Differential Equations MATH 201 - Differential Equations


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★ 3.5 (fi 6) (either term or Spring/Summer, 3-0-1) First-order equations; second-order linear equations: reduction of order, variation of parameters; Laplace transform; linear systems; power series; solution by series; separation of variables for PDEs. Prerequisite or corequisite: MATH 209 or 214. Notes: (1) Open only to students in Engineering, Specialization Physics, and Specialization Geophysics. (2) This course may not be taken for credit if credit has already been obtained in any of MATH 205, 334, or 336. (3) Students in all sections of this course will write a common final examination. Non-Engineering students who take this course will receive *3.0.

★ 3.5 (fi 6) (either term or Spring/Summer, 3-0-1) First-order equations; second-order linear equations: reduction of order, variation of parameters; Laplace transform; linear systems; power series; solution by series; separation of variables for PDEs. Prerequisite or corequisite: MATH 209 or 214. Notes: (1) Open only to students in Engineering, Specialization Physics, and Specialization Geophysics. (2) Credit can be obtained in at most one of MATH 201, 334 or 336. (3) Students in all sections of this course will write a common final examination. Non-Engineering students who take this course will receive *3.0.

MATH 209 - Calculus III ★ 3.5 (fi 6) (either term, 3-0-1) Partial differentiation, derivatives of integrals. Multiple integration using rectangular, cylindrical, and spherical coordinates. Vector Field Theory. Prerequisite: MATH 101. Prerequisite or corequisite: MATH 102. Notes: (1) Students in all sections of this course will write a common final examination. (2) Restricted to Engineering students. Non-Engineering students who take this course will receive *3.0.

MATH 209 - Calculus III ★ 3.5 (fi 6) (either term, 3-0-1) Partial differentiation, derivatives of integrals. Multiple integration using rectangular, cylindrical, and spherical coordinates. Vector Field Theory. Prerequisite: MATH 101. Prerequisite or corequisite: MATH 102. Notes: (1) This course may not be taken for credit if credit has already been obtained in MATH 215 or 317. (2) Students in all sections of this course will write a common final examination. (3) Restricted to Engineering students. Non-Engineering students who take this course will receive *3.0.

MATH 214 - Intermediate Calculus I ★ 3 (fi 6) (either term, 3-0-0) Infinite Series. Plane curves and polar coordinates. Three dimensional analytic geometry. Partial derivatives. This course may not be taken for credit if credit has already been obtained in MATH 209 or MATH 217. Prerequisite: MATH 101, 115, 118, 146, or SCI 100 or equivalent.

MATH 214 - Intermediate Calculus I ★ 3 (fi 6) (either term, 3-0-0) Infinite Series. Plane curves and polar coordinates. Three dimensional analytic geometry. Partial derivatives. Prerequisite: One of MATH 101, 115, 136, 146 or 156, and one of MATH 102, 125 or 127. Note: This course may not be taken for credit if credit has already been obtained in MATH 209 or 217.

MATH 215 - Intermediate Calculus II ★ 3 (fi 6) (either term, 3-0-0) First order and second order linear differential equations with

MATH 215 - Intermediate Calculus II ★ 3 (fi 6) (either term, 3-0-0) First order and second order linear differential equations with


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constant coefficients. Curves, tangent vectors, arc length, integration in two and three dimensions, polar cylindrical and spherical coordinates, line and surface integrals. Green’s divergence and Stokes’ theorems. Note: This course may not be taken for credit if credit has already been obtained in MATH 209 or 317. Prerequisite: MATH 214 or equivalent.

constant coefficients. Curves, tangent vectors, arc length, integration in two and three dimensions, polar cylindrical and spherical coordinates, line and surface integrals. Green’s divergence and Stokes’ theorems. Prerequisite: MATH 214 or 217. Note: This course may not be taken for credit if credit has already been obtained in MATH 209 or 317.

MATH 216 - Introduction to Analysis ★ 3 (fi 6) (either term, 3-0-0) Sets and functions. Induction. Axiomatic introduction of the real numbers. Sequences and series. Continuity and properties of continuous functions. Differentiation. Riemann integral. Prerequisite: One of MATH 101, 115, 136, 146, 156 or SCI 100. Note: This course may not be taken for credit if credit has already been obtained in MATH 118.

MATH 217 - Honors Advanced Calculus I ★ 3 (fi 6) (first term, 4-0-0) Axiomatic development of the real number system. Topology of Rn. Sequences, limits and continuity. Multi-variable calculus: differentiation and integration, including integration in spherical and polar coordinates. The differential and the chain rule. Taylor’s Formula, maxima and minima. Introduction to vector field theory. Prerequisites: MATH 118 (or MATH 101, 115, 146, or SCI 100 with consent of Department) and any linear algebra course. Engineering students will receive a weight of 4.0 units for this course.

MATH 217 - Honors Advanced Calculus I ★ 3 (fi 6) (first term, 4-0-0) Axiomatic development of the real number system. Topology of Rn. Sequences, limits and continuity. Multi-variable calculus: differentiation and integration, including integration in spherical and polar coordinates. The differential and the chain rule. Taylor’s Formula, maxima and minima. Introduction to vector field theory. Prerequisites: One of MATH 102, 125 or 127, and either MATH 118 or MATH 216. Notes: (1) MATH 216 may be accepted as corequisite with consent of the Department. (2) Engineering students will receive a weight of 4.0 units for this course.

MATH 222 - Introduction to Discrete Mathematics ★ 3 (fi 6) (either term, 3-0-0) A problem-solving approach to discrete mathematics, covering secret codes, public-key codes, error-correcting codes, enumeration, recurrence relations, induction, graph theory, graph algorithms and parallel algorithms. Prerequisite: Any 100-level mathematics

MATH 222 - Introduction to Discrete Mathematics ★ 3 (fi 6) (either term, 3-0-0) A problem-solving approach to discrete mathematics, covering secret codes, public-key codes, error-correcting codes, enumeration, recurrence relations, induction, graph theory, graph algorithms and parallel algorithms. Prerequisite: Any 100-level MATH course or


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course or SCI 100, MATH 120, 125 or 127 recommended.

SCI 100 (MATH 125 or 127 recommended).

MATH 225 - Linear Algebra II ★ 3 (fi 6) (either term, 3-0-0) Vector spaces. Inner product spaces. Examples of n-space and the space of continuous functions. Gram-Schmidt process, QR factorization of a matrix and least squares. Linear transformations, change of basis, similarity and diagonalization. Orthogonal diagonalization, quadratic forms. Applications in a variety of fields, numerical methods. Prerequisites: A 100-level linear algebra course, and one of Mathematics 31 or a 100-level calculus course. Note: Credit can be obtained in at most one of MATH 225 or 227.

MATH 225 - Linear Algebra II ★ 3 (fi 6) (either term, 3-0-0) Vector spaces. Inner product spaces. Examples of n-space and the space of continuous functions. Gram-Schmidt process, QR factorization of a matrix and least squares. Linear transformations, change of basis, similarity and diagonalization. Orthogonal diagonalization, quadratic forms. Applications in a variety of fields. Prerequisites: One of MATH 100, 113, 114, 117, 134, 144, 154 or SCI 100, and one of MATH 102, 125 or 127. Note: Credit can be obtained in at most one of MATH 225 or 227.

MATH 227 - Honors Linear Algebra II ★ 3 (fi 6) (second term, 3-0-0) Review of vector space axioms, subspaces and quotients; span; linear independence; Gram-Schmidt process; projections; methods of least squares; linear transformations and their matrix representations with respect to arbitrary bases; change of basis; eigenvectors and eigenvalues; triangularization and diagonalization; canonical forms (Schur, Jordan, spectral theorem). Prerequisite: MATH 127 or equivalent. Students with MATH 102 or 125 will be admitted with consent of Department. Note: Credit can be obtained in at most one of MATH 225 or 227.

MATH 227 - Honors Linear Algebra II ★ 3 (fi 6) (second term, 3-0-0) Review of vector space axioms, subspaces and quotients; span; linear independence; Gram-Schmidt process; projections; methods of least squares; linear transformations and their matrix representations with respect to arbitrary bases; change of basis; eigenvectors and eigenvalues; triangularization and diagonalization; canonical forms (Schur, Jordan, spectral theorem). Prerequisite: MATH 127. (Students with MATH 102 or 125 may be admitted with consent of the Department.) Note: Credit can be obtained in at most one of MATH 225 or 227.

MATH 228 - Algebra: Introduction to Ring Theory ★ 3 (fi 6) (either term, 3-0-0) Integers. Mathematical induction. Equivalence relations. Commutative rings, including the integers mod n, complex numbers and polynomials. The Chinese remainder theorem. Fields and integral domains. Euclidean domains, principal ideal domains

MATH 228 - Algebra: Introduction to Ring Theory ★ 3 (fi 6) (either term, 3-0-0) Integers. Mathematical induction. Equivalence relations. Commutative rings, including the integers mod n, complex numbers and polynomials. The Chinese remainder theorem. Fields and integral domains. Euclidean domains, principal ideal domains


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and unique factorization. Quotient rings and homomorphisms. Construction of finite fields. Applications such as public domain encryption, Latin squares and designs, polynomial error detecting codes, and/or addition and multiplication of large integers. Prerequisite: Any linear algebra course. Credit for MATH 228 cannot be obtained if credit for MATH 326 has been already obtained.

and unique factorization. Quotient rings and homomorphisms. Construction of finite fields. Applications such as public domain encryption, Latin squares and designs, polynomial error detecting codes, and/or addition and multiplication of large integers. Prerequisite: MATH 102, 125 or 127. Note: This course may not be taken for credit if credit has already been obtained in MATH 326.

MATH 241 - Geometry ★ 3 (fi 6) (either term, 3-0-0) Basic Euclidean geometry, congruence, parallelism, area, and similarity. Sound axiomatic development with emphasis on problem solving. Constructions and loci, inequalities, maxima and minima, circles, isometries, and additional topics. Prerequisites: Any 100-level Mathematics course or SCI 100.

MATH 241 - Geometry ★ 3 (fi 6) (either term, 3-0-0) Basic Euclidean geometry, congruence, parallelism, area, and similarity. Sound axiomatic development with emphasis on problem solving. Constructions and loci, inequalities, maxima and minima, circles, isometries, and additional topics. Prerequisite: Any 100-level MATH course or SCI 100.

MATH 253 - Theory of Interest ★ 3 (fi 6) (either term, 3-0-0) Accumulation and amount functions, effective, nominal, simple, and compound rates, force of interest and discount, simple and general annuities certain, variable annuities and perpetuities, amortization schedules and sinking funds, bonds and other securities, applications, installment loans, depreciation, depletion, capitalized cost. Prerequisite: MATH 101, 115, 118 , 146, or SCI 100 or equivalent. Corequisite: MATH 209 or 214.

MATH 253 - Theory of Interest ★ 3 (fi 6) (either term, 3-0-0) Accumulation and amount functions, effective, nominal, simple, and compound rates, force of interest and discount, simple and general annuities certain, variable annuities and perpetuities, amortization schedules and sinking funds, bonds and other securities, applications, installment loans, depreciation, depletion, capitalized cost. Prerequisite: One of MATH 101, 115, 118, 136, 146, 156 or SCI 100. Corequisite: MATH 209 or 214.

MATH 300 - Advanced Boundary Value Problems I ★ 3 (fi 6) (either term or Spring/Summer, 3-0-0) Derivation of the classical partial differential equations of applied mathematics, solutions using separation of variables. Fourier expansions and their applications to boundary value problems. Introduction to Fourier Transforms. Emphasis on building an

MATH 300 - Advanced Boundary Value Problems I ★ 3 (fi 6) (either term or Spring/Summer, 3-0-0) Derivation of the classical partial differential equations of applied mathematics, solutions using separation of variables. Fourier expansions and their applications to boundary value problems. Introduction to Fourier Transforms. Emphasis on building an


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appropriate mathematical model from a physical problem, solving the mathematical problem, and carefully interpreting the mathematical results in the context of the original physical problem. Prerequisites: MATH 201 and 209 or equivalents. Notes: (1) Open only to students in Engineering, Specialization Physics, and Specialization Geophysics. (2) This course may not be taken for credit if credit has already been obtained in MATH 337.

appropriate mathematical model from a physical problem, solving the mathematical problem, and carefully interpreting the mathematical results in the context of the original physical problem. Prerequisites: MATH 201 and 209. Notes: (1) Open only to students in Engineering, Specialization Physics, and Specialization Geophysics. (2) Credit can be obtained in at most one of MATH 300 and 337.

MATH 314 - Analysis I ★ 3 (fi 6) (first term, 3-0-0) Construction of real numbers, Heine-Borel and related theorems, differentiation and Riemann integral of functions, topological concepts in metric spaces, sequences, continuous maps, contraction maps, and applications. Prerequisite: MATH 209 or 215 or equivalent. Note: This course may not be taken for credit if credit has already been obtained in MATH 217.

MATH 322 - Graph Theory ★ 3 (fi 6) (either term, 3-0-0) Graphs, paths and cycles, trees, planarity and duality, coloring problems, digraphs, matching problems, matroid theory. Prerequisite: MATH 120 or 125 or equivalent and any 200-level MATH course. MATH 222 recommended.

MATH 322 - Graph Theory ★ 3 (fi 6) (either term, 3-0-0) Graphs, paths and cycles, trees, planarity and duality, coloring problems, digraphs, matching problems, matroid theory. Prerequisite: One of MATH 102, 125 or 127, and any 200-level MATH course (MATH 222 recommended).

MATH 325 - Linear Algebra III ★ 3 (fi 6) (second term, 3-0-0) Hermitian and unitary matrices, spectral theorem. Jordan canonical form. Cayley-Hamilton Theorem. Bilinear forms, positive-definiteness, Sylvester’s Law of inertia, geometric lattices. Numerical methods. Application to discrete system evolution, matrix exponentials and differential equations. Prerequisites: MATH 225. Note: May not be taken for credit if credit has already been obtained in MATH 227.

MATH 325 - Linear Algebra III ★ 3 (fi 6) (second term, 3-0-0) Hermitian and unitary matrices, spectral theorem. Jordan canonical form. Cayley-Hamilton Theorem. Bilinear forms, positive-definiteness, Sylvester’s Law of inertia, geometric lattices. Numerical methods. Application to discrete system evolution, matrix exponentials and differential equations. Prerequisite: MATH 225. Note: This course may not be taken for credit if credit has already been obtained in MATH 227.


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MATH 334 - Introduction to Differential Equations ★ 3 (fi 6) (either term, 3-0-0) First order equations, linear equations of higher order. Power series solution. Laplace transform methods. Introduction to special functions. Introduction to linear systems. Prerequisites: MATH 125 or 127 and one of MATH 209, 214 or 217. Note: This course may not be taken for credit if credit has already been obtained in MATH 201.

MATH 334 - Introduction to Differential Equations ★ 3 (fi 6) (either term, 3-0-0) First order equations, linear equations of higher order. Power series solution. Laplace transform methods. Introduction to special functions. Introduction to linear systems. Prerequisites: One of MATH 102, 125 or 127, and one of MATH 209, 214 or 217. Note: Credit can be obtained in at most one of MATH 201, 334 or 336.

MATH 336 – Honors Ordinary Differential Equations ★ 3 (fi 6) (either term, 3-0-0) First order differential equations. Linear systems of differential equations and linear differential equations of higher order. Stability and qualitative theory of 2-dimensional linear and non-linear systems. Laplace transform methods. Existences and uniqueness theorems. Prerequisites : MATH 225 or 227 and one of MATH 217 or 314. Note : This course may not be taken for credit if credit has already been obtained in MATH 201 or MATH 334.

MATH 336 – Honors Ordinary Differential Equations ★ 3 (fi 6) (either term, 3-0-0) First order differential equations. Linear systems of differential equations and linear differential equations of higher order. Stability and qualitative theory of 2-dimensional linear and non-linear systems. Laplace transform methods. Existences and uniqueness theorems. Prerequisites: MATH 225 or 227, and either MATH 209, 217, 314 or both 214 and 216. Note: Credit can be obtained in at most one of MATH 201, 334 and 336.

MATH 337 - Introduction to Partial Differential Equations ★ 3 (fi 6) (either term, 3-0-0) Boundary value problems of classical Math Physics, orthogonal expansions, classical special functions. Advanced transform techniques. Note: This course may not be taken for credit if credit has already been obtained in either MATH 300 or equivalent. Prerequisites: MATH 215, and MATH 334 or 336.

MATH 337 - Introduction to Partial Differential Equations ★ 3 (fi 6) (either term, 3-0-0) Boundary value problems of classical Math Physics, orthogonal expansions, classical special functions. Advanced transform techniques. Prerequisites: One of MATH 209, 215, or 317, and one of MATH 201, 334 or 336. Note: Credit can be obtained in at most one of MATH 300 or 337.

MATH 341 - Geometry of Convex Sets ★ 3 (fi 6) (second term, 3-0-0) Combinatorial geometry and topology, convex sets, sets with constant width, Helly-type problems, extremal problems. Prerequisite: MATH 120 or 125 or equivalent, MATH 222 or MATH

MATH 341 - Geometry of Convex Sets ★ 3 (fi 6) (second term, 3-0-0) Combinatorial geometry and topology, convex sets, sets with constant width, Helly-type problems, extremal problems. Prerequisite: One of MATH 102, 125, 127, 222 or 241.


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241.

MATH 371 - Mathematical Modelling in the Life Sciences ★ 3 (fi 6) (either term, 3-0-0) Model development, computation, and analysis for problems in the life sciences. Models include differential equations, difference equations and stochastic formulations. Model evaluation and prediction. Applications are chosen from epidemiology, ecology, population biology, physiology and medicine. Prerequisites: MATH 102, 120, 125, or 127; MATH 209, 214, or 217. No previous computing experience is needed.

MATH 371 - Mathematical Modelling in the Life Sciences ★ 3 (fi 6) (either term, 3-0-0) Model development, computation, and analysis for problems in the life sciences. Models include differential equations, difference equations and stochastic formulations. Model evaluation and prediction. Applications are chosen from epidemiology, ecology, population biology, physiology and medicine. Prerequisites: One of MATH 102, 125 or 127, and one of MATH 209, 214 or 217. Note: No previous computing experience is needed.

MATH 372 - Mathematical Modelling I ★ 3 (fi 6) (either term, 3-0-0) This course is designed to develop the students’ problem-solving abilities along heuristic lines and to illustrate the processes of Applied Mathematics. Students will be encouraged to recognize and formulate problems in mathematical terms, solve the resulting mathematical problems and interpret the solution in real world terms. Typical problems considered include nonlinear programming, optimization problems, diffusion models. Prerequisites: MATH 102, 120, 125, or 127; MATH 209, 214, or 217.

MATH 372 - Mathematical Modelling I ★ 3 (fi 6) (either term, 3-0-0) This course is designed to develop the students’ problem-solving abilities along heuristic lines and to illustrate the processes of Applied Mathematics. Students will be encouraged to recognize and formulate problems in mathematical terms, solve the resulting mathematical problems and interpret the solution in real world terms. Typical problems considered include nonlinear programming, optimization problems, diffusion models. Prerequisites: One of MATH 102, 125 or 127, and one of MATH 209, 214 or 217.

MATH 373 - Mathematical Programming and Optimization I ★ 3 (fi 6) (either term, 3-0-0) Introduction to optimization. Problem formulation. Linear programming. The simplex method and its variants (revised Simplex method, dual simplex method). Extreme points of polyhedral sets. Theory of linear inequalities (Farkas Lemma). Complementary slackness and duality. Post-optimality analysis. Interior point methods. Applications (elementary games, transportation problems, networks, etc.). Prerequisites: MATH 102, 120, 125, or

MATH 373 - Mathematical Programming and Optimization I ★ 3 (fi 6) (either term, 3-0-0) Introduction to optimization. Problem formulation. Linear programming. The simplex method and its variants (revised Simplex method, dual simplex method). Extreme points of polyhedral sets. Theory of linear inequalities (Farkas Lemma). Complementary slackness and duality. Post-optimality analysis. Interior point methods. Applications (elementary games, transportation problems, networks, etc.). Prerequisites: One of MATH 102, 125 or


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127; MATH 209, 214, or 217.

127, and one of MATH 209, 214 or 217.

MATH 381 - Numerical Methods I ★ 3 (fi 6) (either term, 3-0-1) Approximation of functions by Taylor series, Newton’s formulae, Lagrange and Hermite interpolation. Splines. Orthogonal polynomials and least-squares approximation of functions. Direct and iterative methods for solving linear systems. Methods for solving non-linear equations and systems of non-linear equations. Introduction to computer programming. Prerequisites: MATH 102, 120, 125, or 127; MATH 209, 214, or 217. Note: Credit can be obtained for at most one of MATH 280, 381, CMPUT 340. Note: Extra classes may be held for students lacking a background in one of the major programming languages such as Fortran, C, C++ or Matlab.

MATH 381 - Numerical Methods I ★ 3 (fi 6) (either term, 3-0-1) Approximation of functions by Taylor series, Newton’s formulae, Lagrange and Hermite interpolation. Splines. Orthogonal polynomials and least-squares approximation of functions. Direct and iterative methods for solving linear systems. Methods for solving non-linear equations and systems of non-linear equations. Introduction to computer programming. Prerequisites: One of MATH 102, 125 or 127, and one of MATH 209, 214 or 217. Notes: (1) Credit can be obtained in at most one of MATH 280, 381 or CMPUT 340. (2) Extra classes may be held for students lacking a background in one of the major programming languages such as Fortran, C, C++ or Matlab.

MATH 411 - Honors Complex Variables ★ 3 (fi 6) (first term, 3-0-0) Complex number system. Analytic functions. Cauchy’s Integral theorem and formula. Applications including the maximum modulus principle, Taylor expansion and Laurent expansion. Harmonic functions. The residue theorem with applications; calculus of residues, argument principle, and Rouche’s theorem. Basics of analytic continuation. Additional topics at the instructor’s discretion such as: Normal families, The Riemann mapping Theorem, Picard’s Theorem. Note: This course is primarily for Honors students in Mathematics or Physics. Offered in alternate years. It may be offered in intervening years if demand is sufficient. Prerequisite: MATH 314 or 317.

MATH 411 - Honors Complex Variables ★ 3 (fi 6) (first term, 3-0-0) Complex number system. Analytic functions. Cauchy’s Integral theorem and formula. Applications including the maximum modulus principle, Taylor expansion and Laurent expansion. Harmonic functions. The residue theorem with applications; calculus of residues, argument principle, and Rouche’s theorem. Basics of analytic continuation. Additional topics at the instructor’s discretion such as: Normal families, The Riemann mapping Theorem, Picard’s Theorem. Prerequisite: MATH 314 or 317. Notes: (1) This course is primarily for Honors students in Mathematics or Physics. (2) Offered in alternate years. It may be offered in intervening years if demand is sufficient.

MATH 414 - Analysis II ★ 3 (fi 6) (second term, 3-0-0) Differentiation of maps in Rn, implicit function and mapping theorems, sequences of functions, Riemann-Stielties integration, additional topics at the discretion of the instructor. Prerequisite:


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MATH 314. Note: This course may not be taken for credit if credit has already been obtained in MATH 317.

MATH 417 - Honors Real Variables I ★ 3 (fi 6) (either term, 3-0-0) Brief review of set operations and countable sets. Measure theory, integration theory, Lebesgue measure and integrals on R^n, product measure, Tonelli-Fubini theorem. Functions of bounded variation, absolutely continuous functions. Prerequisite: MATH 317 or 414 or equivalent.

MATH 417 - Honors Real Variables I ★ 3 (fi 6) (either term, 3-0-0) Brief review of set operations and countable sets. Measure theory, integration theory, Lebesgue measure and integrals on R^n, product measure, Tonelli-Fubini theorem. Functions of bounded variation, absolutely continuous functions. Prerequisite: MATH 317 or 414.

MATH 421 - Combinatorics ★ 3 (fi 6) (second term, 3-0-0) Permutations and combinations, Binomial Theorem, Principle of Inclusion-Exclusion, recurrence relations, generating functions, orthogonal Latin squares, balanced incomplete block designs, Steiner triple systems, perfect difference sets, Boolean algebra and Finite State Machines. Prerequisites: Either (1) MATH 326 or (2) one of MATH 222 or 228 and a 300-level MATH course, MATH 322 recommended.

MATH 421 - Combinatorics ★ 3 (fi 6) (second term, 3-0-0) Permutations and combinations, Binomial Theorem, Principle of Inclusion-Exclusion, recurrence relations, generating functions, orthogonal Latin squares, balanced incomplete block designs, Steiner triple systems, perfect difference sets, Boolean algebra and Finite State Machines. Prerequisites: Either (1) MATH 326 or (2) one of MATH 222 or 228 and a 300-level MATH course (MATH 322 recommended).

MATH 422 - Coding Theory ★ 3 (fi 6) (second term, 3-0-0) Elements of group theory, cosets, Lagrange’s theorem, binary group codes, polynomials, finite field theory, error correcting codes. Prerequisites: either MATH 227 or MATH 228 and a 300-level MATH course.

MATH 422 - Coding Theory ★ 3 (fi 6) (second term, 3-0-0) Elements of group theory, cosets, Lagrange’s theorem, binary group codes, polynomials, finite field theory, error correcting codes. Prerequisites: either (1) MATH 227 or (2) MATH 228 and a 300-level MATH course.

MATH 424 - Algebra: Groups and Fields ★ 3 (fi 6) (either term, 3-0-0) Field extensions. Groups of automorphisms of fields. Galois theory. Finite fields and applications. Solvable groups, the insolvability of the quintic equation. Ruler and compass construction. Prerequisite: MATH 326 (or MATH 228 by consent of the instructor) and MATH 328. Note: (1) This course cannot be taken for

MATH 424 - Algebra: Groups and Fields ★ 3 (fi 6) (either term, 3-0-0) Field extensions. Groups of automorphisms of fields. Galois theory. Finite fields and applications. Solvable groups, the insolvability of the quintic equation. Ruler and compass construction. Prerequisites: MATH 326 (or MATH 228 by consent of the Department) and MATH 328. Note: This course cannot be taken for credit if


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credit if credit has already been obtained in MATH 427 or 329.

credit has already been obtained in MATH 427 or 329.

MATH 432 - Intermediate Differential Equations ★ 3 (fi 6) (either term, 3-0-0) Elementary existence and uniqueness theorems. Systems of equations, stability, perturbation theory. Introduction to numerical methods. Introduction to phase plane analysis. Prerequisite: MATH 201 or 334.

MATH 432 - Intermediate Differential Equations ★ 3 (fi 6) (either term, 3-0-0) Elementary existence and uniqueness theorems. Systems of equations, stability, perturbation theory. Introduction to numerical methods. Introduction to phase plane analysis. Prerequisite: One of MATH 201, 334 or 336.

MATH 447 - Elementary Topology ★ 3 (fi 6) (either term, 3-0-0) Set Theory, metric spaces and general topology. Compactness, connectedness. Urysohn’s Lemma and Tietze’s Theorem. Baire Category Theorem. The Tychonoff Theorem. Homotopy and covering spaces. Primarily intended for third and fourth year students with a good background in Mathematics. Prerequisite: MATH 217 or 314. MATH 347 is recommended as a companion course. Offered in alternate years. It may be offered in intervening years if demand is sufficient.

MATH 447 - Elementary Topology ★ 3 (fi 6) (either term, 3-0-0) Set Theory, metric spaces and general topology. Compactness, connectedness. Urysohn’s Lemma and Tietze’s Theorem. Baire Category Theorem. The Tychonoff Theorem. Homotopy and covering spaces. Primarily intended for third and fourth year students with a good background in Mathematics. Prerequisite: MATH 209, 217, 314 or both 214 and 216. Notes: (1) MATH 347 is recommended as a companion course. (2) Offered in alternate years. It may be offered in intervening years if demand is sufficient.

MATH 448 - Introduction to Differential Geometry ★ 3 (fi 6) (either term, 3-0-0) Riemannian geometry of n-space, metric tensors, various curvature concepts and their relationships, covariant differentiation, geodesics, parallel transport. Additional topics at the discretion of the instructor. Prerequisites: MATH 348, or MATH 217 and one of MATH 225 or 227. Offered in alternate years. It may be offered in intervening years if demand is sufficient.

MATH 448 - Introduction to Differential Geometry ★ 3 (fi 6) (either term, 3-0-0) Riemannian geometry of n-space, metric tensors, various curvature concepts and their relationships, covariant differentiation, geodesics, parallel transport. Additional topics at the discretion of the instructor. Prerequisite: MATH 348, or MATH 217 and one of MATH 225 or 227. Note: Offered in alternate years. It may be offered in intervening years if demand is sufficient.

STAT 151 - Introduction to Applied Statistics I ★ 3 (fi 6) (either term, 3-0-0) Data collection and presentation, descriptive statistics. Probability distributions, sampling

STAT 151 - Introduction to Applied Statistics I ★ 3 (fi 6) (either term, 3-0-0) Data collection and presentation, descriptive statistics. Probability distributions, sampling


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distributions and the central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis. Goodness of fit and contingency table. Prerequisite: Mathematics 30-1 or 30-2. This course may not be taken for credit if credit has been obtained in any STAT course, or in PEDS 109, PSYCO 211, SCI 151 or SOC 210.

distributions and the central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis. Goodness of fit and contingency table. Prerequisite: Mathematics 30-1 or 30-2. Note : This course may not be taken for credit if credit has been obtained in any STAT course, or in PEDS 109, PSYCO 211, SCI 151 or SOC 210.

STAT 235 - Introductory Statistics for Engineering ★ 3.8 (fi 6) (either term or Spring/Summer, 3-0-1.5) Descriptive data analysis. Calculus of Probability. Binomial, multinomial, Poisson, normal, beta, exponential, gamma, hypergeometric, and Weibull distributions. Sampling distributions. Estimation, testing hypotheses, goodness-of-fit tests, and one-way analysis of variance. Linear correlation and regression. Sampling. Quality control. Use of a microcomputer software package for statistical analyses in engineering applications. Prerequisite: MATH 100. Corequisite: MATH 101. Credit may not be obtained in STAT 235 if credit has already been obtained in STAT 141, 151, 222, 265, 266; PSYCO 211, SCI 151 or SOC 210. Intended for Engineering students. Other students who take this course will receive *3.0.

STAT 235 - Introductory Statistics for Engineering ★ 3.8 (fi 6) (either term or Spring/Summer, 3-0-1.5) Descriptive data analysis. Calculus of Probability. Binomial, multinomial, Poisson, normal, beta, exponential, gamma, hypergeometric, and Weibull distributions. Sampling distributions. Estimation, testing hypotheses, goodness-of-fit tests, and one-way analysis of variance. Linear correlation and regression. Sampling. Quality control. Use of a microcomputer software package for statistical analyses in engineering applications. Prerequisite: MATH 100. Corequisite: MATH 101. Notes: (1) This course may not be taken for credit if credit has already been obtained in one of STAT 141, 151, 222, 265, 266; PSYCO 211, SCI 151 or SOC 210. (2) Intended for Engineering students. Other students who take this course will receive *3.0.

STAT 252 - Introduction to Applied Statistics II ★ 3 (fi 6) (either term, 3-0-2) Methods in applied statistics including regression techniques, analysis of variance and covariance, and methods of data analysis. Applications are taken from Biological, Physical and Social Sciences, and Business. Credit may be received in at most one of STAT 252, 319, 337, or 341. May not be taken for credit if credit has been received for STAT 368 or 378. Prerequisite: STAT 141 or 151 or 235 or SCI 151 or equivalent.

STAT 252 - Introduction to Applied Statistics II ★ 3 (fi 6) (either term, 3-0-2) Methods in applied statistics including regression techniques, analysis of variance and covariance, and methods of data analysis. Applications are taken from Biological, Physical and Social Sciences, and Business. Prerequisite: One of STAT 141, 151, 235 or SCI 151. Notes: (1) Credit can be obtained in at most one of STAT 252, 319, 337 or 341. (2) This course may not be taken for credit if credit has already been obtained in STAT 368


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or 378.

STAT 265 - Statistics I ★ 3 (fi 6) (first term, 3-0-0) Sample space, events, combinatorial probability, conditional probability, independent events, Bayes Theorem, random variables, discrete random variables, expected values, moment generating function, inequalities, continuous distributions, multivariate distributions, independence. Corequisite: MATH 214 or 217. Credit may not be obtained for both STAT 265 and STAT 221.

STAT 265 - Statistics I ★ 3 (fi 6) (first term, 3-0-0) Sample space, events, combinatorial probability, conditional probability, independent events, Bayes Theorem, random variables, discrete random variables, expected values, moment generating function, inequalities, continuous distributions, multivariate distributions, independence. Corequisite: One of MATH 209, 214 or 217.

STAT 266 - Statistics II ★ 3 (fi 6) (second term, 3-0-0) Functions of random variables, sampling distributions, Central Limit Theorem, law of large numbers, statistical models for the data, likelihood, parameters and their interpretation, objectives of statistical inference, point and interval estimation, method of moments, basic notions of testing of hypotheses, errors of the first and second kind, significance level, power, p-value. Prerequisite: STAT 265. Corequisites: MATH 215 or 317, and 225 or 227. Credit may not be obtained for both STAT 266 and either of STAT 222 or STAT 366.

STAT 266 - Statistics II ★ 3 (fi 6) (second term, 3-0-0) Functions of random variables, sampling distributions, Central Limit Theorem, law of large numbers, statistical models for the data, likelihood, parameters and their interpretation, objectives of statistical inference, point and interval estimation, method of moments, basic notions of testing of hypotheses, errors of the first and second kind, significance level, power, p-value. Prerequisite: STAT 265. Corequisites: One of MATH 225 or 227, and one of MATH 215 or 317.

STAT 353 - Life Contingencies I ★ 3 (fi 6) (either term, 3-0-0) Time at death random variables, continuous and discrete insurances, endowments and varying annuities, net premiums and reserves. Prerequisites: MATH 253 and STAT 265. Corequisite: MATH 215.

STAT 353 - Life Contingencies I ★ 3 (fi 6) (either term, 3-0-0) Time at death random variables, continuous and discrete insurances, endowments and varying annuities, net premiums and reserves. Prerequisites: MATH 253 and STAT 265. Corequisite: MATH 215 or 317.

STAT 361 - Sampling Techniques ★ 3 (fi 6) (either term, 3-0-0) Simple random sampling from finite populations, stratified sampling, regression estimators, cluster sampling. Note: This course may only be offered in alternate years. Prerequisite: STAT 266, or STAT 235 and consent of instructor.

STAT 361 - Sampling Techniques ★ 3 (fi 6) (either term, 3-0-0) Simple random sampling from finite populations, stratified sampling, regression estimators, cluster sampling. Prerequisite: STAT 266, or STAT 235 with consent of the Department. Note: This course may only be offered in alternate


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years.

STAT 368 - Introduction to Design and Analysis of Experiments ★ 3 (fi 6) (either term, 3-0-0) Basic principles of experimental design, completely randomized design-one way ANOVA and ANCOVA, randomized block design, Latin square design, Multiple comparisons. Nested designs. Factorial experiments. Prerequisites: STAT 266, or STAT 235 and consent of instructor.

STAT 368 - Introduction to Design and Analysis of Experiments ★ 3 (fi 6) (either term, 3-0-0) Basic principles of experimental design, completely randomized design-one way ANOVA and ANCOVA, randomized block design, Latin square design, Multiple comparisons. Nested designs. Factorial experiments. Prerequisite: STAT 266, or STAT 235 with consent of the Department.

STAT 372 - Mathematical Statistics ★ 3 (fi 6) (either term, 3-0-0) Laws of large numbers, weak convergence, some asymptotic results, delta method, maximum likelihood estimation, testing, UMP tests, LR tests, nonparametric methods (sign test, rank test), robustness, statistics and their sensitivity properties, prior and posterior distributions, Bayesian inference, conjugate priors, Bayes estimators. Prerequisites: STAT 266.

STAT 372 - Mathematical Statistics ★ 3 (fi 6) (either term, 3-0-0) Laws of large numbers, weak convergence, some asymptotic results, delta method, maximum likelihood estimation, testing, UMP tests, LR tests, nonparametric methods (sign test, rank test), robustness, statistics and their sensitivity properties, prior and posterior distributions, Bayesian inference, conjugate priors, Bayes estimators. Prerequisite: STAT 266.

STAT 378 - Applied Regression Analysis ★ 3 (fi 6) (either term, 3-0-0) Simple linear regression analysis, inference on regression parameters, residual analysis, prediction intervals, weighted least squares. Multiple regression analysis, inference about regression parameters, multicollinearity and its effects, indicator variables, selection of independent variables. Non-linear regression. Prerequisites: STAT 266, or STAT 235 and consent of instructor.

STAT 378 - Applied Regression Analysis ★ 3 (fi 6) (either term, 3-0-0) Simple linear regression analysis, inference on regression parameters, residual analysis, prediction intervals, weighted least squares. Multiple regression analysis, inference about regression parameters, multicollinearity and its effects, indicator variables, selection of independent variables. Non-linear regression. Prerequisite: STAT 266, or STAT 235 with consent of the Department.

STAT 432 - Survival Analysis ★ 3 (fi 6) (either term, 3-0-0) Survival models, model estimation from complete and incomplete data samples, parametric survival models with concomitant variables, estimation of life tables from general population data. Prerequisite: STAT 372 and 378.

STAT 432 - Survival Analysis ★ 3 (fi 6) (either term, 3-0-0) Survival models, model estimation from complete and incomplete data samples, parametric survival models with concomitant variables, estimation of life tables from general population data. Prerequisites: STAT 372 and 378.


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STAT 441 - Applied Statistical Methods for Data Mining ★ 3 (fi 6) (either term, 3-0-1) Principles of statistical model building and analysis applied in linear and generalized linear models and illustrated through multivariate methods such as repeated measures, principal components, and supervised and unsupervised classification. Prerequisites: STAT 368 or 378.

STAT 441 - Applied Statistical Methods for Data Mining ★ 3 (fi 6) (either term, 3-0-1) Principles of statistical model building and analysis applied in linear and generalized linear models and illustrated through multivariate methods such as repeated measures, principal components, and supervised and unsupervised classification. Prerequisite: STAT 368 or 378.

STAT 479 - Time Series Analysis ★ 3 (fi 6) (either term, 3-0-0) Stationary series, spectral analysis, models in time series: autoregressive, moving average, ARMA and ARIMA. Smoothing series, computational techniques and computer packages for time series. Note: This course may be offered only in alternate years. Prerequisite: STAT 372 and 378.

STAT 479 - Time Series Analysis ★ 3 (fi 6) (either term, 3-0-0) Stationary series, spectral analysis, models in time series: autoregressive, moving average, ARMA and ARIMA. Smoothing series, computational techniques and computer packages for time series. Prerequisites: STAT 372 and 378. Note: This course may only be offered in alternate years.

Approvals: Faculty of Science, August 14, 2018

Minors [Science] Mathematics

A minor in Mathematics consists of

At least ★24 with at least ★6 at the 300-level or higher. The minor must include the following:

● MATH 114 - Elementary Calculus I OR ● MATH 117 - Honors Calculus I OR ● MATH 134 - Calculus for the Life

Sciences I OR ● MATH 144 - Calculus for the Physical

Sciences I

● MATH 115 - Elementary Calculus II OR

● MATH 118 - Honors Calculus II OR ● MATH 146 - Calculus for the Physical

Sciences II

● MATH 214 - Intermediate Calculus I OR

● MATH 217 - Honors Advanced Calculus I

● MATH 125 - Linear Algebra I OR ● MATH 127 - Honors Linear Algebra I

AND ● MATH 225 - Linear Algebra II OR ● MATH 227 - Honors Linear Algebra II

● MATH 228 - Algebra: Introduction to Ring Theory OR BOTH

● MATH 215 - Intermediate Calculus II OR MATH 317 AND

● MATH 334 - Introduction to Differential Equations

At least ★6 in

MATH at the 300-level or higher. Any 300-level courses taken to meet the above requirement may be used toward this requirement.

Minors [Science] Mathematics

A minor in Mathematics consists of

At least ★24 with at least ★6 at the 300-level or higher.

★9 from

● MATH 114 - Elementary Calculus I ● MATH 115 - Elementary Calculus II ● MATH 117 - Honors Calculus I ● MATH 118 - Honors Calculus II ● MATH 134 - Calculus for the Life

Sciences I ● MATH 136 - Calculus for the Life

Sciences II ● MATH 144 - Calculus for the Physical

Sciences I ● MATH 146 - Calculus for the Physical

Sciences II ● MATH 154 - Calculus for Business and

Economics I ● MATH 156 - Calculus for Business and

Economics II ● MATH 214 - Intermediate Calculus I ● MATH 217 - Honors Advanced

Calculus I

★6 from

● MATH 125 - Linear Algebra I ● MATH 127 - Honors Linear Algebra I ● MATH 225 - Linear Algebra II ● MATH 227 - Honors Linear Algebra II

At least ★3 from

● MATH 215 - Intermediate Calculus II ● MATH 228 - Algebra: Introduction to

Ring Theory ● MATH 317 - Honors Advanced

Calculus II

At least ★6 in

MATH or MA PH at the 300-level or higher. Any 300-level courses taken to meet the above requirements may be used toward this requirement.

Majors [Science] Mathematics

A major in Mathematics consists of

At least ★36 with at least ★12 at the 300-level or higher. The major must include the following:



Sciences I



Sciences II



● MATH 215 - Intermediate Calculus II OR

● MATH 317 - Honors Advanced Calculus II


● MATH 225 - Linear Algebra II OR ● MATH 227 - Honors Linear Algebra II

At least ★3 from

● MATH 228 - Algebra: Introduction to Ring Theory


At least ★12 in MATH at the 300-level or higher

Majors [Science] Mathematics

A major in Mathematics consists of

At least ★36 with at least ★12 at the 300-level or higher.

★12 from

● MATH 114 - Elementary Calculus I ● MATH 115 - Elementary Calculus II ● MATH 117 - Honors Calculus I ● MATH 118 - Honors Calculus II ● MATH 134 - Calculus for the Life






Economics II ● MATH 214 - Intermediate Calculus I ● MATH 215 - Intermediate Calculus II ● MATH 217 - Honors Advanced

Calculus I ● MATH 317 - Honors Advanced

Calculus II

★6 from

● MATH 125 - Linear Algebra I ● MATH 127 - Honors Linear Algebra I ● MATH 225 - Linear Algebra II ● MATH 227 - Honors Linear Algebra II

At least ★3 from



● MATH 336 - Honors Ordinary Differential Equations

At least ★12 in

MATH or MA PH at the 300-level or higher, of which at least ★3 must be at the 400-level. Any 300-level courses taken to meet the above requirements may be used toward this

https://calendar.ualberta.ca/preview_program.php?catoid=28&poid=26900&returnto=7147




























At least ★12 in MATH at the 300-level or higher, of which at least ★3 must be at the 400-level. If taken to meet the above Requirement, MATH 334 may be used toward this Requirement.

requirement. Additional Information

Students not presenting MATH 118 must take MATH 216 - Introduction to Analysis.

https://calendar.ualberta.ca/preview_program.php?catoid=28&poid=26900&returnto=7147#tt3226

Specialization in Mathematics [Science]

Continuation in the Specialization in Mathematics program requires successful completion of at least ★24 with a minimum 2.3 GPA and a minimum 2.3 GPA on all MATH courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 2.3 GPA on all courses credited towards the degree and a minimum 2.3 GPA on all MATH courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1



Sciences I



Sciences II


● CMPUT 174 - Introduction to the

Foundations of Computation I ● CMPUT 175 - Introduction to the

Foundations of Computation II ● ★6 in junior ENGL or ★3 junior ENGL

and ★3 junior WRS ● ★3 in an approved Science option

(see details of courses) ● ★6 in approved options

Year 2




Specialization in Mathematics [Science]

Continuation in the Specialization in Mathematics program requires successful completion of at least ★24 with a minimum 2.3 GPA and a minimum 2.3 GPA on all MATH courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 2.3 GPA on all courses credited towards the degree and a minimum 2.3 GPA on all MATH courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1


Foundations of Computation I ● CMPUT 175 - Introduction to the

Foundations of Computation II ● ★6 in junior ENGL or ★3 junior ENGL

and ★3 junior WRS

★6 from ● MATH 114 - Elementary Calculus I ● MATH 115 - Elementary Calculus II ● MATH 117 - Honors Calculus I ● MATH 118 - Honors Calculus II ● MATH 134 - Calculus for the Life






Economics II

★3 from ● MATH 125 - Linear Algebra I ● MATH 127 - Honors Linear Algebra I

Options ● ★3 in an approved Science option



















https://calendar.ualberta.ca/content.php?catoid=28&navoid=6993














● MATH 228 - Algebra: Introduction to

Ring Theory ● ★3 in an approved MATH option ● ★3 in an approved Science option

(see details of courses) ● ★6 in approved Arts options ● ★6 in approved options

Year 3

● MATH 314 - Analysis I (See Note 3) ● MATH 414 - Analysis II (See Note 3) ● ★6 in approved MATH options ● ★6 in approved Science options (see

details of courses) ● ★6 in approved Arts options ● ★6 in approved options

Year 4

● ★12 in approved MATH options at the 300-level or higher

● ★6 in approved Science options (see details of courses)

● ★12 in approved options

Notes

1. Each student’s program must have the approval of the Department of Mathematical and Statistical Sciences.

2. Students are encouraged to take at least ★6 in MATH in each Fall/Winter of the program.

3. A student presenting the Honors Calculus sequence MATH 117/MATH 118/MATH 217/MATH 317 must substitute MATH options for MATH 314 and MATH 414.

4. Credit will not be given for ECON 299, ECON 386 or ECON 387.

5. Credit for SCI 100 will be considered equivalent to MATH 114, MATH 115, CMPUT 174 and ★18 Science options (see details of courses).

6. Credit in SCI 151 will be considered

Year 2

● MATH 216 – Introduction to Analysis (see Note 3)


★6 from ● MATH 214 - Intermediate Calculus I ● MATH 215 - Intermediate Calculus II ● MATH 217 - Honors Advanced


Calculus II

★3 from ● MATH 225 - Linear Algebra II ● MATH 227 - Honors Linear Algebra II



Year 3

● ★12 in approved MATH or MA PH options


● ★6 in approved Arts options ● ★6 in approved options

Year 4

● ★12 in approved MATH or MA PH options at the 300-level or higher, at least ★3 of which must be at the 400-level



Notes


2. Students are encouraged to take at least ★6 in MATH in each Fall/Winter

































equivalent to ★6 Science options.

of the program. 3. Students presenting MATH 118 must

substitute a senior MATH option for MATH 216.


5. Credit in SCI 100 will be considered equivalent to MATH 114, MATH 115, CMPUT 174 and ★18 Science options (see details of courses).

6. Credit in SCI 151 will be considered equivalent to ★6 Science options.









Specialization in Mathematics - Computational Science [Science]

Continuation in the Specialization in Mathematics - Computational Science program requires successful completion of at least ★24 with a minimum 2.3 GPA and a minimum 2.3 GPA on all CMPUT, MATH and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 2.3 GPA on all courses credited towards the degree and a minimum 2.3 GPA on all CMPUT, MATH and STAT courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1

● CMPUT 174 - Introduction to the Foundations of Computation I

● CMPUT 175 - Introduction to the Foundations of Computation II



Sciences I



Sciences II


● ★6 in a junior ENGL or ★3 junior

ENGL and ★3 junior WRS ● ★9 in approved options

Year 2

● CMPUT 201 - Practical Programming Methodology

● CMPUT 204 - Algorithms I ● CMPUT 272 - Formal Systems and

Logic in Computing Science

Specialization in Mathematics - Computational Science [Science]

Continuation in the Specialization in Mathematics - Computational Science program requires successful completion of at least ★24 with a minimum 2.3 GPA and a minimum 2.3 GPA on all CMPUT, MATH and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 2.3 GPA on all courses credited towards the degree and a minimum 2.3 GPA on all CMPUT, MATH and STAT courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1



● ★6 in a junior ENGL or ★3 junior ENGL and ★3 junior WRS







Economics II


Options ● ★9 in approved options



























● MATH 214 - Intermediate Calculus I

OR ● MATH 217 - Honors Advanced

Calculus I



● MATH 222 - Introduction to Discrete Mathematics


● STAT 265 - Statistics I ● ★6 in approved Arts options

Year 3

● CMPUT 229 - Computer Organization and Architecture I

● CMPUT 291 - Introduction to File and Database Management


● MATH 381 - Numerical Methods I ● STAT 266 - Statistics II ● ★3 in approved MATH or STAT

options ● ★3 in approved Arts options ● ★9 in approved options

Year 4

● ★6 in CMPUT at 300-level or higher ● ★6 in MATH or STAT at 300-level or

higher ● ★3 in an option at 300-level or higher ● ★3 in approved Arts options ● ★12 in approved options

Notes


2. The program must contain at least ★72 in Science (see details of courses) and ★18 in Arts.

Year 2

● CMPUT 201 - Practical Programming Methodology

● CMPUT 204 - Algorithms I ● CMPUT 272 - Formal Systems and

Logic in Computing Science ● MATH 216 – Introduction to Analysis

(see Note 3) ● MATH 222 - Introduction to Discrete

Mathematics ● STAT 265 - Statistics I



Calculus II


Options ● ★3 in approved Arts options

Year 3

● CMPUT 229 - Computer Organization and Architecture I

● CMPUT 291 - Introduction to File and Database Management


● MATH 381 - Numerical Methods I ● STAT 266 - Statistics II

Options ● ★3 in approved MATH, MA PH or

STAT options ● ★6 in approved Arts options ● ★6 in approved options

Year 4

● ★6 in CMPUT at 300-level or higher ● ★6 in MATH, MA PH or STAT at 300-








































3. Recommended MATH options include MATH 314, MATH 322, MATH 324, MATH 325, MATH 334, MATH 337, MATH 373, MATH 414, MATH 421, MATH 422, MATH 481.

4. Recommended CMPUT options include CMPUT 301, CMPUT 304, CMPUT 313, CMPUT 325, CMPUT 379, CMPUT 391, CMPUT 401, CMPUT 411.

5. Recommended STAT options include STAT 368, STAT 371, STAT 378, STAT 471, STAT 479.


7. Credit in SCI 100 will be considered equivalent to CMPUT 174, MATH 114, MATH 115 and ★18 options.


level or higher, at least ★3 of which must be at the 400-level

● ★3 in an option at 300-level or higher ● ★3 in approved Arts options ● ★12 in approved options

Notes


2. The program must contain at least ★72 in Science (see details of courses) and ★18 in Arts.

3. Students presenting MATH 118 must substitute a senior MATH option for MATH 216.

4. Recommended MATH options include MATH 322, MATH 324, MATH 325, MATH 334, MATH 337, MATH 373, MATH 421, MATH 422, MATH 481.

5. Recommended CMPUT options include CMPUT 301, CMPUT 304, CMPUT 313, CMPUT 325, CMPUT 379, CMPUT 391, CMPUT 401, CMPUT 411.

6. Recommended STAT options include STAT 368, STAT 371, STAT 378, STAT 471, STAT 479.



































































Specialization in Mathematics and Economics [Science]

Continuation in the Specialization in Mathematics and Economics program requires successful completion of at least ★24 with a minimum 2.3 GPA and a minimum 2.3 GPA on all ECON, MATH and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 2.3 GPA on all courses credited towards the degree and a minimum 2.3 GPA on all ECON, MATH and STAT courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1

● ECON 101 - Introduction to Microeconomics

● ECON 102 - Introduction to Macroeconomics



Sciences I



Sciences II


● STAT 151 - Introduction to Applied

Statistics I ● ★6 junior ENGL or ★3 junior ENGL

and ★3 junior WRS ● ★3 in an approved Science option (see

details of courses) ● ★3 in an approved option

Year 2



Specialization in Mathematics and Economics [Science]

Continuation in the Specialization in Mathematics and Economics program requires successful completion of at least ★24 with a minimum 2.3 GPA and a minimum 2.3 GPA on all ECON, MATH and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 2.3 GPA on all courses credited towards the degree and a minimum 2.3 GPA on all ECON, MATH and STAT courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1



● MATH 154 Calculus for Business and Economics I (see Note 2)

● MATH 156 Calculus for Business and Economics II (see Note 2)

● MATH 125 - Linear Algebra I (see Note 2)

● STAT 151 - Introduction to Applied Statistics I

● ★6 junior ENGL or ★3 junior ENGL and ★3 junior WRS


(see details of courses) ● ★3 in an approved option

Year 2



● ECON 281 - Intermediate Microeconomic Theory I

● ECON 282 – Intermediate Macroeconomic Theory I

● MATH 214 - Intermediate Calculus I (see Note 2)

● MATH 215 - Intermediate Calculus II









































Foundations of Computation II


● ECON 282 - Intermediate Macroeconomic Theory I






● STAT 265 - Statistics I ● STAT 266 - Statistics II ● ★3 in an approved option

Years 3 and 4

● ECON 384 - Intermediate Microeconomic Theory II (or an approved ECON option at the 400-level or higher)

● ECON 385 - Intermediate Macroeconomic Theory II (or an approved ECON option at the 400-level or higher)

● ECON 399 - Introductory Econometrics ● ★15 in approved ECON options, of

which at least ★3 must be at the 400-level or higher

● ★18 in approved MATH or STAT options, of which at least ★12 must be at the 300-level or higher

● ★3 in an approved Science option (see details of courses)


Notes



3. Students who are considering graduate

(see Note 2) ● MATH 216 – Introduction to Analysis

(see Note 3) ● MATH 225 - Linear Algebra II (see

Note 2) ● STAT 265 - Statistics I ● STAT 266 - Statistics II

Years 3 and 4

● ECON 384 - Intermediate Microeconomic Theory II (or an approved ECON option at the 400-level or higher)

● ECON 385 - Intermediate Macroeconomic Theory II (or an approved ECON option at the 400-level or higher)

● ECON 399 - Introductory Econometrics

Options ● ★15 in approved ECON options, of

which at least ★3 must be at the 400-level or higher

● ★18 in approved MATH, MA PH or STAT options, of which at least ★12 must be at the 300-level or higher, and ★3 at the 400-level



Notes


2. Students may substitute MATH 100, 114, 117, 134 or 144 for MATH 154; MATH 101, 115, 118, 136 or 146 for MATH 156; MATH 102 or 127 for MATH 125; MATH 217 for MATH 214; MATH 317 for MATH 215; MATH 227 for MATH 225.



5. The ECON 299 prerequisite for ECON 399 is met by STAT 265 and STAT 266.

6. Students who are considering graduate work in Economics should
























http://calendar.ualberta.ca/preview_program.php?catoid=6&poid=2629&returnto=3636#tt6072
















work in Economics should take ECON 497.

4. Students are encouraged to take at least ★6 in ECON, MATH, or STAT in each Fall/Winter of the program.

5. Credit in SCI 100 will be considered equivalent to MATH 114, MATH 115, CMPUT 174, ★12 Science options (see details of courses) and ★6 options.


take ECON 497. 7. Students are encouraged to take at

least ★6 in ECON, MATH, or STAT in each Fall/Winter of the program.

8. Credit in SCI 100 will be considered equivalent to MATH 114, MATH 115, CMPUT 174, ★12 Science options (see details of courses) and ★6 options.







http://calendar.ualberta.ca/content.php?catoid=6&navoid=838






http://calendar.ualberta.ca/content.php?catoid=6&navoid=838


Specialization in Mathematics and Finance [Science]

Continuation in the Specialization in Mathematics and Finance program requires successful completion of at least ★24 with a minimum 2.3 GPA and a minimum 2.3 GPA on all ACCTG, ECON, FIN, MATH, MGTSC, OM and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 2.3 GPA on all courses credited towards the degree and a minimum 2.3 GPA on all ACCTG, ECON, FIN, MATH, MGTSC, OM and STAT courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1







Sciences I

● MATH 115 - Elementary Calculus II OR ● MATH 118 - Honors Calculus II OR ● MATH 146 - Calculus for the Physical

Sciences II




and ★3 junior WRS

Year 2

Specialization in Mathematics and Finance [Science]

Continuation in the Specialization in Mathematics and Finance program requires successful completion of at least ★24 with a minimum 2.3 GPA and a minimum 2.3 GPA on all ACCTG, ECON, FIN, MATH, MGTSC, OM and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 2.3 GPA on all courses credited towards the degree and a minimum 2.3 GPA on all ACCTG, ECON, FIN, MATH, MGTSC, OM and STAT courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1





● MATH 154 Calculus for Business and Economics I (see Note 2)

● MATH 156 Calculus for Business and Economics II (see Note 2)

● MATH 125 - Linear Algebra I (see Note 2)



Year 2

● ACCTG 311 - Introduction to Accounting for Financial Performance


● MATH 214 - Intermediate Calculus I (see Note 2)

● MATH 215 - Intermediate Calculus II (see Note 2)














































● MATH 225 - Linear Algebra II ● MATH 253 - Theory of Interest ● OM 352 - Operations Management ● STAT 265 - Statistics I ● STAT 266 - Statistics II ● ★3 in approved options

Year 3

● FIN 301 - Introduction to Finance ● MATH 314 - Analysis I (see Note 4) ● MATH 356 - Introduction to

Mathematical Finance I ● MATH 357 - Introduction to

Mathematical Finance II ● STAT 371 - Probability and Stochastic

Processes ● ★3 in an approved FIN option ● ★12 in approved options

Year 4

● ECON 399 - Introductory Econometrics OR

● STAT 378 - Applied Regression Analysis

● MATH 373 - Mathematical Programming and Optimization I

● STAT 471 - Probability I ● ★6 in approved FIN options ● ★15 in approved options

Notes

1. Each student’s program must have the approval of the Department of

● MATH 225 - Linear Algebra II (see Note 2)

● MATH 253 - Theory of Interest ● OM 352 - Operations Management ● STAT 265 - Statistics I ● STAT 266 - Statistics II

Year 3

● FIN 301 - Introduction to Finance ● MATH 356 - Introduction to



Processes

Options ● ★3 in an approved FIN option ● ★3 in approved MATH, MA PH or

STAT options ● ★12 in approved options

Year 4

● MATH 373 - Mathematical Programming and Optimization I

● STAT 471 - Probability I

★3 from ● ECON 399 - Introductory

Econometrics ● STAT 378 - Applied Regression

Analysis

Options ● ★6 in approved FIN options ● ★15 in approved options

Notes

1. Each student’s program must have the approval of the Department of Mathematical and Statistical Sciences and must include: 1. ★18 in Arts courses 2. ★63 in Science courses 3. ★33 in ACCTG, ECON, FIN,

MGTSC or OM, including ★9 in 400-level FIN.

2. Students may substitute MATH 100,















































Mathematical and Statistical Sciences and must include: 1. ★18 in Arts courses 2. ★63 in Science courses 3. ★33 in ACCTG, ECON, FIN,

MGTSC or OM, including ★9 in 400-level FIN.

2. Approved ACCTG, ECON, FIN and MGTSC options include ACCTG 322, ACCTG 412, ACCTG 432, ACCTG 443; ECON 282, ECON 384, ECON 385, ECON 399, ECON 408, ECON 481, ECON 482; FIN 412, FIN 413, FIN 414, FIN 416, FIN 422, FIN 434, FIN 442; MGTSC 404, MGTSC 405. Credit will not be given for ECON 299, ECON 386 or ECON 387.

3. Recommended Science options include: MATH 334, MATH 337, MATH 381, MATH 432, MATH 481; STAT 353, STAT 472, STAT 479.

4. A student presenting the Honors Calculus sequence MATH 117, MATH 118, MATH 217, MATH 317 must substitute a MATH option for MATH 314.


6. Credit in SCI 151 will be considered equivalent to STAT 151 and ★3 Science option.

114, 117, 134 or 144 for MATH 154; MATH 101, 115, 118, 136 or 146 for MATH 156; MATH 102 or 127 for MATH 125; MATH 217 for MATH 214; MATH 317 for MATH 215; MATH 227 for MATH 225.



5. Students planning on taking ECON 399 in place of STAT 378 will need to include ECON 282 in their program. The ECON 299 prerequisite for ECON 399 is met by STAT 265 and 266.

6. MGTSC 312 prerequisites are waived by Business for students in this program.

7. Recommended Science options include: MATH 334, MATH 337, MATH 381, MATH 432, MATH 481; STAT 353, STAT 472, STAT 479.























































































Specialization in Statistics [Science]

Continuation in the Specialization in Statistics program requires successful completion of at least ★24 with a minimum 2.3 GPA and a minimum 2.3 GPA on all MATH and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 2.3 GPA on all courses credited towards the degree and a minimum 2.3 GPA on all MATH and STAT courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1





Sciences I

● MATH 115 - Elementary Calculus II OR ● MATH 118 - Honors Calculus II OR ● MATH 146 - Calculus for the Physical

Sciences II




and ★3 junior WRS ● ★6 in approved options

Year 2




Specialization in Statistics [Science]

Continuation in the Specialization in Statistics program requires successful completion of at least ★24 with a minimum 2.3 GPA and a minimum 2.3 GPA on all MATH and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 2.3 GPA on all courses credited towards the degree and a minimum 2.3 GPA on all MATH and STAT courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1











Economics II


Options ● ★6 in approved options

Year 2


































Statistics II ● STAT 265 - Statistics I ● STAT 266 - Statistics II ● ★6 in approved Arts options ● ★6 in approved Science options (see

details of courses) ● ★3 in approved options

Years 3 and 4

● STAT 361 - Sampling Techniques ● STAT 368 - Introduction to Design and

Analysis of Experiments ● STAT 371 - Probability and Stochastic

Processes ● STAT 372 - Mathematical Statistics ● STAT 378 - Applied Regression

Analysis ● ★12 in STAT options at 300- and 400-

level ● ★6 in approved Arts options ● ★6 in approved Science options (see


Notes


2. Credit will not be granted for ECON 299, ECON 386 or ECON 387.

3. Credit in SCI 100 will be considered equivalent to CMPUT 174, MATH 114, MATH 115 and ★18 approved Science options (see details of courses).



● STAT 252 - Introduction to Applied Statistics II

● STAT 265 - Statistics I ● STAT 266 - Statistics II



Calculus II


Options ● ★6 in approved Arts options ● ★3 in approved Science options (see

details of courses)

Years 3 and 4




Analysis

Options ● ★12 in approved STAT options at 300-

level or higher, at least ★3 of which must be at the 400-level

● ★6 in approved Arts options ● ★6 in approved Science options (see


Notes

















































3. Students presenting MATH 118 must substitute a senior MATH or STAT option for MATH 216.









Honors in Mathematics [Science]

Continuation in the Honors in Mathematics program requires successful completion of at least ★24 with a minimum 3.0 GPA and a minimum 3.0 GPA on all MATH courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 3.0 GPA on all courses credited towards the degree and a minimum 3.0 GPA on all MATH courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1

● MATH 117 - Honors Calculus I (See

Note 2) ● MATH 118 - Honors Calculus II (See

Note 2) ● MATH 127 - Honors Linear Algebra I

(See Note 2) ● MATH 227 - Honors Linear Algebra II

(See Note 2) ● ★6 in an approved Science option


Year 2

● MATH 217 - Honors Advanced


Calculus II ● MATH 328 - Algebra: Introduction to

Group Theory

● MATH 326 - Rings and Modules OR ● MATH 334 - Introduction to Differential

Equations



Years 3 and 4

● MATH 326 - Rings and Modules

Honors in Mathematics [Science]

Continuation in the Honors in Mathematics program requires successful completion of at least ★24 with a minimum 3.0 GPA and a minimum 3.0 GPA on all MATH courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 3.0 GPA on all courses credited towards the degree and a minimum 3.0 GPA on all MATH courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1

● MATH 117 - Honors Calculus I (See

Note 2) ● MATH 118 - Honors Calculus II (See

Note 2) ● MATH 127 - Honors Linear Algebra I

(See Note 2) ● MATH 227 - Honors Linear Algebra II

(See Note 2) ● ★6 junior ENGL or ★3 junior ENGL

and ★3 junior WRS



Year 2



Calculus II ● MATH 326 - Rings and Modules

★3 from ● MATH 328 - Algebra: Introduction to

Group Theory ● MATH 336 - Honors Ordinary

Differential Equations

Options ● ★6 in approved Science options (see

details of courses)

https://calendar.ualberta.ca/preview_program.php?catoid=28&poid=27023&hl=%22MATH%22&returnto=search




































● MATH 411 - Honors Complex Variables ● MATH 417 - Honors Real Variables I ● MATH 418 - Honors Real Variables II ● MATH 424 - Algebra: Groups and

Fields ● MATH 447 - Elementary Topology ● MATH 448 - Introduction to Differential

Geometry ● MATH 499 - Research Project ● ★12 in approved Science options (see

details of courses) including ★3 in CMPUT or STAT


Notes

1. Each student's program must have the approval of the Department of Mathematical and Statistical Sciences.

2. With consent of the Department, students may substitute MATH 100, MATH 113, MATH 114, MATH 134, or MATH 144 for MATH 117; MATH 101, MATH 115, or MATH 146 for MATH 118; MATH 102 or MATH 125 for MATH 127; MATH 225 for MATH 227.

3. Several of the required courses, including MATH 411, MATH 424, MATH 447, and MATH 448, may only be offered in alternate years.

4. ECON 299, ECON 386 or ECON 387 may not be used for credit in any Honors degree offered by the Department of Mathematical and Statistical Sciences.

5. SCI 100 will be considered equivalent to MATH 114, MATH 115, CMPUT 174 and ★18 Science options (see details of courses).


The Department also offers a BA in Honors in Mathematics (see Honors in Mathematics, Faculty of Arts).


Years 3 and 4

● MATH 411 - Honors Complex Variables ● MATH 417 - Honors Real Variables I ● MATH 418 - Honors Real Variables II ● MATH 424 - Algebra: Groups and

Fields ● MATH 447 - Elementary Topology ● MATH 448 - Introduction to Differential

Geometry ● MATH 499 - Research Project

★3 from ● MATH 328 - Algebra: Introduction to

Group Theory ● MATH 336 - Honors Ordinary

Differential Equations




Notes


2. With consent of the Department, students may substitute MATH 100, 113, 114, 134, 144 or 154 for MATH 117; MATH 101, 115, 136, 146 or 156 for MATH 118; MATH 102 or 125 for MATH 127; MATH 225 for MATH 227.

3. Several of the required courses, including MATH 411, MATH 424, MATH 447, and MATH 448, may only be offered in alternate years.

















https://calendar.ualberta.ca/preview_program.php?catoid=28&poid=27023&hl=%22MATH%22&returnto=search#tt4166





























https://calendar.ualberta.ca/preview_program.php?catoid=28&poid=26808#HonorsInMathematics
































The Department also offers a BA in Honors in Mathematics (see Honors in Mathematics, Faculty of Arts).

https://calendar.ualberta.ca/preview_program.php?catoid=28&poid=26808#HonorsInMathematics

Honors in Applied Mathematics [Science]

Continuation in the Honors in Applied Mathematics program requires successful completion of at least ★24 with a minimum 3.0 GPA and a minimum 3.0 GPA on all MATH courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 3.0 GPA on all courses credited towards the degree and a minimum 3.0 GPA on all MATH courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1

● MATH 117 - Honors Calculus I (see Note 2)

● MATH 118 - Honors Calculus II (see Note 2)

● MATH 127 - Honors Linear Algebra I (see Note 2)

● MATH 227 - Honors Linear Algebra II (see Note 2)



Year 2



● MATH 326 - Rings and Modules OR ● MATH 328 - Algebra: Introduction to

Group Theory




Years 3 and 4

★21 in Mathematics including: ● MATH 337 - Introduction to Partial

Differential Equations ● MATH 381 - Numerical Methods I

Honors in Applied Mathematics [Science]

Continuation in the Honors in Applied Mathematics program requires successful completion of at least ★24 with a minimum 3.0 GPA and a minimum 3.0 GPA on all MATH courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 3.0 GPA on all courses credited towards the degree and a minimum 3.0 GPA on all MATH courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated. Year 1

● MATH 117 - Honors Calculus I (see Note 2)

● MATH 118 - Honors Calculus II (see Note 2)

● MATH 127 - Honors Linear Algebra I (see Note 2)

● MATH 227 - Honors Linear Algebra II (see Note 2)




Year 2



● MATH 336 - Honors Ordinary Differential Equations

★3 from ● MATH 326 - Rings and Modules ● MATH 328 - Algebra: Introduction to

Group Theory





● MATH 411 - Honors Complex Variables ● MATH 417 - Honors Real Variables I ● MATH 436 - Intermediate Partial

Differential Equations I ● MATH 499 - Research Project

Options ● ★6 in approved options at the 300-

level or higher in the field of application ● ★3 in an approved 300- or 400-level

MATH or MA PH ● ★3 in CMPUT or STAT option ● ★9 in approved Science options (see


Notes


2. With consent of the Department, students may substitute MATH 100, MATH 113, MATH 114, MATH 134, or MATH 144 for MATH 117; MATH 101, MATH 115, or MATH 146 for MATH 118; MATH 102 or MATH 125 for MATH 127; MATH 225 for MATH 227.

3. Several of the required courses, including MATH 411, may only be offered in alternate years.


5. SCI 100 will be considered equivalent to MATH 114, MATH 115, CMPUT 174 and ★18 Science options (see details of courses).


Years 3 and 4

● MATH 337 - Introduction to Partial Differential Equations

● MATH 381 - Numerical Methods I ● MATH 411 - Honors Complex Variables ● MATH 417 - Honors Real Variables I ● MATH 436 - Intermediate Partial

Differential Equations I ● MATH 499 - Research Project

Options ● ★6 in approved options at the 300-

level or higher in the field of application ● ★6 in approved 300- or 400-level

MATH or MA PH options ● ★12 in approved Science options (see



Notes


2. With consent of the Department, students may substitute MATH 100, 113, 114, 134, 144 or 154 for MATH 117; MATH 101, 115, 136, 146 or 156 for MATH 118; MATH 102 or 125 for MATH 127; MATH 225 for MATH 227.

3. Several of the required courses, including MATH 411, may only be offered in alternate years.




Honors in Mathematics and Finance [Science]

Continuation in the Honors in Mathematics and Finance program requires successful completion of at least ★24 with a minimum 3.0 GPA and a minimum 3.0 GPA on all ACCTG, ECON, FIN, MATH, MGTSC, OM and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 3.0 GPA on all courses credited towards the degree and a minimum 3.0 GPA on all ACCTG, ECON, FIN, MATH, MGTSC, OM and STAT courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated.

Year 1





● MATH 117 - Honors Calculus I OR ● MATH 114 - Elementary Calculus I OR ● MATH 134 - Calculus for the Life


Sciences I

● MATH 118 - Honors Calculus II OR ● MATH 115 - Elementary Calculus II OR ● MATH 146 - Calculus for the Physical

Sciences II

● MATH 127 - Honors Linear Algebra I OR

● MATH 125 - Linear Algebra I



Year 2


Honors in Mathematics and Finance [Science]

Continuation in the Honors in Mathematics and Finance program requires successful completion of at least ★24 with a minimum 3.0 GPA and a minimum 3.0 GPA on all ACCTG, ECON, FIN, MATH, MGTSC, OM and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 3.0 GPA on all courses credited towards the degree and a minimum 3.0 GPA on all ACCTG, ECON, FIN, MATH, MGTSC, OM and STAT courses credited towards the degree. The program must contain the following courses. It is recommended that these courses be taken in the years indicated.

Year 1







★6 from ● MATH 117 - Honors Calculus I ● MATH 118 - Honors Calculus II ● MATH 154 - Calculus for Business and


Economics II


Year 2





● MATH 217 - Honors Advanced Calculus I OR


● MATH 317 - Honors Advanced Calculus II OR

● MATH 215 - Intermediate Calculus II

● MATH 227 - Honors Linear Algebra II OR

● MATH 225 - Linear Algebra II

● MATH 253 - Theory of Interest ● OM 352 - Operations Management ● STAT 265 - Statistics I ● STAT 266 - Statistics II ● ★3 in approved options

Year 3

● FIN 301 - Introduction to Finance ● FIN 412 - Investment Principles ● MATH 334 - Introduction to Differential

Equations ● MATH 337 - Introduction to Partial

Differential Equations ● MATH 356 - Introduction to



Processes ● ★6 in approved MATH options (see

note 4) ● ★3 in approved options

Year 4

● ECON 399 - Introductory Econometrics OR

● STAT 378 - Applied Regression Analysis

● FIN 413 - Risk Management ● MATH 373 - Mathematical

Programming and Optimization I ● MATH 417 - Honors Real Variables I

● MATH 408 - Computational Finance

OR ● MATH 415 - Mathematical Finance I


● MATH 253 - Theory of Interest ● OM 352 - Operations Management ● STAT 265 - Statistics I ● STAT 266 - Statistics II


Options ● ★3 in approved options (see Note 6)

Year 3

● FIN 301 - Introduction to Finance ● FIN 412 - Investment Principles ● MATH 337 - Introduction to Partial

Differential Equations ● MATH 356 - Introduction to



Processes

★3 from ● MATH 336 - Honors Ordinary

Differential Equations ● MATH 334 - Introduction to Differential

Equations

Options ● ★3 in approved MATH or MA PH

options (see note 7) ● ★6 in approved options

Year 4

● FIN 413 - Risk Management ● MATH 373 - Mathematical

Programming and Optimization I ● MATH 417 - Honors Real Variables I ● STAT 471 - Probability I

★3 from ● ECON 399 - Introductory Econometrics ● STAT 378 - Applied Regression

Analysis

★3 from ● MATH 408 - Computational Finance

● STAT 471 - Probability I ● ★3 in approved FIN options ● ★9 in approved options

Notes

1. Each student’s program must have the approval of the Department of Mathematical and Statistical Sciences and must include: 1. ★18 in Arts courses 2. ★33 in ACCTG, ECON, FIN,

MGTSC or OM, including ★9 in 400-level FIN


3. Recommended Science options include: MATH 381, MATH 418, MATH 432, MATH 436, MATH 481, MATH 499; STAT 353, STAT 472, STAT 479; CMPUT 201.

4. A student not presenting the Honors Calculus sequence MATH 117/MATH 118/MATH 217/MATH 317 must take MATH 314 and MATH 414.



● MATH 415 - Mathematical Finance I

Options ● ★3 in approved FIN options ● ★9 in approved options

Notes

1. Each student’s program must have the approval of the Department of Mathematical and Statistical Sciences and must include: 1. ★18 in Arts courses 2. ★33 in ACCTG, ECON, FIN,

MGTSC or OM, including ★9 in 400-level FIN


3. Students planning on taking ECON 399 in place of STAT 378 will need to include ECON 282 in their program. The ECON 299 prerequisite for ECON 399 is met by STAT 265 and 266.

4. MGTSC 312 prerequisites are waived by Business for students in this program.

5. Recommended Science options include: MATH 381, MATH 418, MATH 432, MATH 436, MATH 481, MATH 499; STAT 353, STAT 472, STAT 479; CMPUT 201.

6. Students not presenting MATH 118 must take MATH 216.






























http://calendar.ualberta.ca/preview_course_nopop.php?catoid=6&coid=45672

















































http://calendar.ualberta.ca/preview_course_nopop.php?catoid=6&coid=45672
















Honors in Statistics [Science]

Continuation in the Honors Statistics program requires successful completion of at least ★24 with a minimum 3.0 GPA and a minimum 3.0 GPA on all MATH and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 3.0 GPA on all courses credited towards the degree and a minimum 3.0 GPA on all MATH and STAT courses credited towards the degree. The program must contain the following courses, which should be taken in the years indicated: Year 1



● MATH 117 - Honors Calculus I OR ● MATH 114 - Elementary Calculus I OR ● MATH 134 - Calculus for the Life


Sciences I

● MATH 118 - Honors Calculus II OR ● MATH 115 - Elementary Calculus II OR ● MATH 146 - Calculus for the Physical

Sciences II

● MATH 127 - Honors Linear Algebra I OR

● MATH 125 - Linear Algebra I




Year 2

● MATH 217 - Honors Advanced Calculus I OR



Honors in Statistics [Science]

Continuation in the Honors Statistics program requires successful completion of at least ★24 with a minimum 3.0 GPA and a minimum 3.0 GPA on all MATH and STAT courses completed in the previous Fall/Winter. In addition, graduation requires a minimum 3.0 GPA on all courses credited towards the degree and a minimum 3.0 GPA on all MATH and STAT courses credited towards the degree. The program must contain the following courses, which should be taken in the years indicated: Year 1





★6 from ● MATH 117 - Honors Calculus I (see

Note 2) ● MATH 118 - Honors Calculus II (see

Note 2) ● MATH 114 - Elementary Calculus I ● MATH 115 - Elementary Calculus II ● MATH 134 - Calculus for the Life






Economics II

★3 from ● MATH 127 - Honors Linear Algebra I

(see Note 2) ● MATH 125 - Linear Algebra I

Options

Calculus II OR ● MATH 215 - Intermediate Calculus II

● MATH 227 - Honors Linear Algebra II

OR ● MATH 225 - Linear Algebra II


Statistics II ● STAT 265 - Statistics I ● STAT 266 - Statistics II ● ★6 in approved Arts options ● ★3 in approved Science options (see

details of courses) ● ★3 in an approved option

Years 3 and 4

● MATH 314 - Analysis I OR ● MATH 417 - Honors Real Variables I

● MATH 414 - Analysis II ● OR ● MATH 418 - Honors Real Variables II




Analysis ● STAT 471 - Probability I ● STAT 499 - Research Project ● ★12 in STAT options at the 400-level ● ★6 in approved Arts options ● ★15 in approved Science options (see

details of courses) Notes






Year 2



● STAT 252 - Introduction to Applied Statistics II

● STAT 265 - Statistics I ● STAT 266 - Statistics II

★3 from ● MATH 227 - Honors Linear Algebra II

(see Note 2) ● MATH 225 - Linear Algebra II

Options ● ★6 in approved Arts options ● ★3 in approved Science options (see

details of courses) ● ★3 in an approved option (see Note 4)

Years 3 and 4

● MATH 417 - Honors Real Variables I ● STAT 361 - Sampling Techniques ● STAT 368 - Introduction to Design and



Analysis ● STAT 471 - Probability I ● STAT 499 - Research Project

Options ● ★12 in STAT options at the 400-level ● ★3 in an approved MATH option (see

note 5) ● ★6 in approved Arts options ● ★15 in approved Science options (see

details of courses) Notes


2. The Honors courses MATH 117, 118, 127 and 227 are recommended.

Science Internship Program

A Science Internship Program, similar to a co-op program, is offered to students in the General, Specialization or Honors programs in Mathematical and Statistical Sciences (see Science Internship Program for guidelines to the program). The Science Internship designation will appear on the degree parchments of students who have participated in the program and who have also successfully completed MATH 400 or STAT 400






Science Internship Program

A Science Internship Program, similar to a co-op program, is offered to students in the General, Specialization or Honors programs in Mathematical and Statistical Sciences (see Science Internship Program for guidelines to the program). The Science Internship designation will appear on the degree parchments of students who have participated in the program and who have also successfully completed INT D 400.

BSc General Program

(...) The General program includes a core of courses which must include the following:


★6 from among junior courses offered by the Departments of Computing Science, and Mathematical and Statistical Sciences

● CMPUT 101 - Introduction to Computing



● MATH 113 - Elementary Calculus I OR ● MATH 114 - Elementary Calculus I OR ● MATH 117 - Honors Calculus I

● MATH 115 - Elementary Calculus II OR ● MATH 118 - Honors Calculus II


● STAT 141 - Introduction to Statistics

OR ● STAT 151 - Introduction to Applied

Statistics I

★6 from among junior courses in the Departments of Chemistry and Physics

● ASTRO 120 - Astronomy of the Solar System

● ASTRO 122 - Astronomy of Stars and Galaxies

● CHEM 101 - Introductory University Chemistry I

● CHEM 102 - Introductory University Chemistry II

● CHEM 164 - Organic Chemistry I ● PHYS 114 - Physics: The Big Picture ● PHYS 124 - Particles and Waves ● PHYS 126 - Fluids, Fields, and

Radiation

BSc General Program

(...) The General program includes a core of courses which must include the following:


★6 from among junior courses offered by the Departments of Computing Science, and Mathematical and Statistical Sciences

● CMPUT 101 - Introduction to Computing



● MATH 114 - Elementary Calculus I ● MATH 115 - Elementary Calculus II ● MATH 117 - Honors Calculus I ● MATH 118 - Honors Calculus II ● MATH 125 - Linear Algebra I ● MATH 127 - Honors Linear Algebra I ● MATH 134 - Calculus for the Life






Economics II ● STAT 151 - Introduction to Applied

Statistics I

★6 from among junior courses in the Departments of Chemistry and Physics

● ASTRO 120 - Astronomy of the Solar System

● ASTRO 122 - Astronomy of Stars and Galaxies

● CHEM 101 - Introductory University Chemistry I

● CHEM 102 - Introductory University Chemistry II

● CHEM 164 - Organic Chemistry I

● PHYS 144 - Newtonian Mechanics and Relativity

● PHYS 146 - Fluids and Waves

★6 from among junior Science courses titled Biology, Earth and Atmospheric Sciences, or Science Psychology

● BIOL 107 - Introduction to Cell Biology ● BIOL 108 - Introduction to Biological

Diversity ● EAS 100 - Planet Earth ● EAS 105 - The Dynamic Earth Through

Time ● PSYCO 104 - Basic Psychological

Processes (...)

● PHYS 114 - Physics: The Big Picture ● PHYS 124 - Particles and Waves ● PHYS 126 - Fluids, Fields, and

Radiation ● PHYS 144 - Newtonian Mechanics and

Relativity ● PHYS 146 - Fluids and Waves

★6 from among junior Science courses titled Biology, Earth and Atmospheric Sciences, or Science Psychology

● BIOL 107 - Introduction to Cell Biology ● BIOL 108 - Introduction to Biological

Diversity ● EAS 100 - Planet Earth ● EAS 105 - The Dynamic Earth Through

Time ● PSYCO 104 - Basic Psychological

Processes (...)

HONORS IN NEUROSCIENCE

Nothing until: Year 4

Research Stream A (Independent Study and

Laboratory Research):

NEURO 450 - Readings on Selected Topics in Neuroscience

NEURO 451 - Honors Research Project in Neuroscience AND/OR NEURO 452 - Honors Research Project in Neuroscience

★6 (if NEURO 450, NEURO 451 and NEURO 452 are taken) or ★9 (if NEURO 450 and one of NEURO 451 or NEURO 452 are taken) of Science options (see details of courses) approved by the program coordinator.

★3 in Arts options

★6 chosen from the following courses

covering topics in Cellular and Molecular

Neuroscience:

NEURO 410 - Neurobiology of Aging and Neurodegenerative Disorders

PHYSL 444 - Current Topics in Neuroscience

PMCOL 412 - Drugs and the Nervous System

PMCOL 512 - Pharmacology of the Synapse

PSYCO 478 - Behavior and Brain Chemistry


HONORS IN NEUROSCIENCE

Year 4

Research Stream A (Independent Study and

Laboratory Research):

NEURO 450 - Readings on Selected Topics in Neuroscience

NEURO 451 - Honors Research Project in Neuroscience AND/OR NEURO 452 - Honors Research Project in Neuroscience

★6 (if NEURO 450, NEURO 451 and NEURO 452 are taken) or ★9 (if NEURO 450 and one of NEURO 451 or NEURO 452 are taken) of Science options (see details of courses) approved by the program coordinator.




Neuroscience:

NEURO 410 - Neurobiology of Aging and Neurodegenerative Disorders

PHYSL 444- Current Topics in Neuroscience

PMCOL 412- Drugs and the Nervous System

PMCOL 475 - Signal Transduction Systems as Pharmacological Targets




covering topics in Systems and Cognitive

Neuroscience:

NEURO 443 - Neuroendocrine Concepts

NEURO 472 - Autonomic Nervous System

NEURO 496 - Computational Neuroscience

PHYSL 403 - Neuroendoimmunomodulation

PHYSL 405 - Sensory Physiology

PSYCI 511 - Biological Aspects of Psychiatry

PSYCO 471 - Neurophysiology: Theory, Methods, and Analysis

PSYCO 475 - Biological Bases of Behavior

OR

Research Stream B (Undergraduate Honors Thesis in Neuroscience):

NEURO 498 - Honors Research Project in Neuroscience I

NEURO 499 - Honors Research Project in Neuroscience II

★3 of Science options (see details of courses) approved by the program coordinator


★6 chosen from the following courses covering topics in Cellular and Molecular Neuroscience:

NEURO 410 - Neurobiology of Aging and


Neuroscience:









BME 510 - Neuroimaging in Neuroscience

BME 520 - Neuroplasticity

OR

Research Stream B (Undergraduate Honors Thesis in Neuroscience):

NEURO 498 - Honors Research Project in Neuroscience I

NEURO 499 - Honors Research Project in Neuroscience II

★3 of Science options (see details of courses) approved by the program coordinator




Neuroscience:

NEURO 410 - Neurobiology of Aging and

Neurodegenerative Disorders







Neuroscience:








Neurodegenerative Disorders



PMCOL 475 - Signal Transduction Systems as Pharmacological Targets





Neuroscience:









BME 510 - Neuroimaging in Neuroscience

BME 520 - Neuroplasticity

Approvals: Faculty of Science, September 26, 2018

math 100 - calculus i 3.5 (fi 6) (either term, 3 · ★ 3 (fi 6) (either term, 3-0-0) techniques...

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