Rachel Hardeman

Assistant Lecturer, Faculty of Science - Mathematics & Statistical Sciences
Directory

Winter Term 2025 (1900)

MATH 111 - Introduction to Discrete Mathematics

3 units (fi 6)(EITHER, 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: MATH 30-1, 30-2, or equivalent. Note : Credit can only be obtained in at most one of MATH 111 or MATH 222.

LECTURE Q1 (73106)

2025-01-06 - 2025-04-09
MWF 10:00 - 10:50



MATH 125 - Linear Algebra I

3 units (fi 6)(EITHER, 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.

LECTURE Q1 (73413)

2025-01-06 - 2025-04-09
MWF 09:00 - 09:50



MATH 134 - Calculus for the Life Sciences I

3 units (fi 6)(EITHER, 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.

LECTURE Q1 (70076)

2025-01-06 - 2025-04-09
MWF 08:00 - 08:50

Summer Term 2025 (1920)

MATH 125 - Linear Algebra I

3 units (fi 6)(EITHER, 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.

LECTURE B1 (40026)

2025-07-07 - 2025-08-13
MTWRF 11:30 - 12:40