Math Courses at Laurentian University of Sudbury

Engineering, Artichecture, and Computer Science are career fields that really rely on mathematical foundations. The Department of Mathematics and Computer Science at Laurentian University of Sudbury offers a number of math courses that contribute to a Bachelor of Arts or Science in Mathematics, or that satisfy requirements for other math-related programs.

Just like Ashley Kirwan, an alumnus of Laurentian and currently the Co-Founder, President & CEO at Orix Geoscience Inc., current students at Laurentian are destined to succeed from the educational programs offered.

Some of the math courses offered at the institution include:

1. MATH-1056EL: Discrete Mathematics I

Taught by Peter Adamic, this course introduces students to the concepts of discrete mathematics. Students will discuss topics like elementary logic and circuits, set theory and functions, mathematical induction, combinatorics, binomial theorem, and the solution of elementary recurrence relations. Before taking the course, students are expected to have earned a satisfactory grade in 4U mathematics or an equivalent course. The concepts learned will form basics for a later course, Discrete Mathematics II.

2. MATH-3236EL: Probability and Statistics

The fundamentals of probability and statistics are introduced in this course. Topics like probability distributions, multivariate distributions, marginal distributions, moment-generating functions, moments of random variables, and moments of linear combinations of random variables will be part of the discussions in the course. The concepts learned in the course can be applied in computer science and statistics-related career fields. The course is instructed by Hafida and has MATH 2037 and STAT 2246 as prerequisites.

3. MATH-2056EL: Discrete Mathematics II

This is a continuation of MATH-1056EL. Students taking the course will discuss advanced concepts related to discrete mathematics. Countability of sets, first-order logic, algebra of relations, graph theory (including path problems, and chromatic numbers are some of the main topics that will be discussed. The course is instructed by Fabrice Colin. MATH 1056 is the prerequisite.

4. MATH-3056EL: Algebra I

Concepts related to algebra like ordered sets, lattices, Boolean algebras, monoids, groups, rings, and fields are discussed in this course. The course is instructed by Stephanie Czapor and requires that students satisfy the requirements for MATH 2056 before enrolling in the course. The concepts learned in the course are applicable in various professional fields including engineering and economics.

5. MATH-3416EL: Numerical Methods I

Abdellatif Serghini is the instructor of this course. Under his instructions, students will be introduced to the concepts and applications of numerical methods. Number system, the errors and the numerical solution of non-linear equations, and systems of linear equations are some of the topics discussed in the course. The course is applicable in engineering and computer science professional fields. For students to enroll in the course, they should first complete MATH 1057, MATH 2066, and either COSC 1046 or COSC 2836.

6. MATH-3206EL: Introduction to Actuarial Mathematics

Recommended for students that wish to pursue majors and careers in Actuarial Science, this course focuses on the mathematical and statistical treatment of annuities, life and group insurance, utility theory, risk models, and survival distributions. Students must successfully complete STAT 2246 before enrolling in this course. The course instructor is Peter Adamic.

7. MATH-4216EL - Applied Probability

Also instructed by Peter Adamic, this course discusses the concepts and applications of probability. Students need to complete MATH 3236 before taking this course. Some of the topics covered in the course include the branching processes, recurrent events, random walks, stochastic processes, and Markov chains. The course will include the use of mathematical computer software to conduct numerical analysis. Engineering and statistics are some of the professional fields in which the concepts can be applied.

8. MATH-2037EL: Advanced Calculus

This course discusses advanced concepts related to calculus. Under the instructions of Fabrice Colin, students will review vectors, lines and planes, study the scalar functions of several variables and further explore vector functions while paying attention to divergence, curl, the theorems of Green, and Gauss and Stokes. To be allowed to take the course, students need to satisfy the requirements in MATH 1037 and 1057. The course is applicable in career fields like engineering and business.

9. MATH-1057EL: Linear Algebra I

The concepts and applications of linear algebra are tackled in this course. Instructed by Youssou Gningue, the course covers topics like simultaneous linear equations, matrices and determinants, vector spaces and linear transformations, eigenvalues and eigenvectors, applications to analytic geometry, and complex numbers. The prerequisites for the course include MATH 1911 or a grade 12 in 4U finite mathematics or algebra. The concepts taught in the course can be applied in engineering, computer science, and business-related professional fields.

10. MATH-1036EL: Calculus I

This course introduces and discusses the concepts of differential and integral calculus. Students will be exposed to topics like limits, continuity, differentiation, standard functions, and Taylor polynomial approximation among others. To enroll in the course students must get a satisfactory grade in MATH 1912 or an equivalent course. The course is instructed by Patrice Sawyer and is recommended for students that wish to pursue a major in math or other related fields.

Even though some people generally consider math as a difficult subject, a majority think the opposite. Math is interesting and very applicable to the contemporary world. Potential students that wish to pursue a math program should explore the many courses offered at Laurentian.