This is an exceptional program choice if you’re equally interested in mathematics and computer science. Your foundation in mathematics will make you stand out from the crowd in the tech world and spur on your career. You’ll love the student-centred approach of the program where you’ll be supported on your way to success. Actuarial preparation available.
After the first day I started playing video games, I knew I wanted my future job to do something with them. I am now studying computer science and hopefully will be able to program games of my own soon. It took me years of researching in different fields before I knew what path I wanted to choose in life. Although I know the expectation of figuring life out and choosing your future job when you’re a teenager could be a confusing process, I would be glad to help you in this journey. Come find me at Head Start this summer to put any confusion to rest before attending the University of Windsor in the fall :)
Parmida
Student AmbassadorCourse Requirements: Min of 70% in Advanced Functions/MHF4U, Calculus & Vectors/MCV4U (and Math of Data Management/MDM4 if taken), English/ENG4U
Strongly Recommended: Calculus & Vectors/MCV4U
Minimum Average: 70% (70% average in all attempted math courses.)
Mean Average: 86%
Course Requirements: Grade 12 Advanced Functions, Grade 12 Calculus & Vectors. Grade 12 English.
Minimum Average: 70% (70% average in all attempted math courses.)
Mean Average: 86%
* Course with lab
1 Students who have credit for MCV4U Calculus and Vectors will take MATH 1250 and MATH 1720; those who do not have this credit will take MATH 1260 and MATH 1760.
This course will cover linear systems, matrix algebra, determinants, n-dimensional vectors, dot product, cross product, orthogonalization, eigenvalues, eigenvectors, diagonalization and vector spaces. (Prerequisites: Both Ontario Grade 12 Advanced Functions (MHF4U) and Calculus and Vectors (MCV4U) or MATH-1280.) (Antirequisites: MATH-1260, MATH-1270.) (3 lecture hours, 2 tutorial hours per week.)
This course is for students without Ontario Grade 12 Calculus and Vectors (MCV4U). The course MATH- 1250 is for students with MCV4U. This course will cover vectors, three-dimensional geometry, linear systems, matrix algebra, determinants, n- dimensional vectors, dot product, cross product, orthogonalization, eigenvalues, eigenvectors, diagonalization and vector spaces. The course is equivalent to MATH-1250 for all prerequisite purposes. (Prerequisite: Ontario Grade 12 Advanced Functions (MHF4U).) (Antirequisites: MATH-1250, MATH-1270.) (4 lecture hours, 2 tutorial hours per week.)
This course will cover trigonometric functions and identities, inverse trigonometric functions, limits and continuity, derivatives and applications, mean value theorem, indeterminate forms and l’Hôpital’s rule, antiderivatives and an introduction to definite integrals. This course is for students who have taken both Ontario Grade 12 Advanced Functions (MHF4U) and Ontario Grade 12 Calculus and Vectors (MCV4U). Students who do not have credit for MCV4U should take MATH-1760. (Prerequisites: Ontario Grade 12 Advanced Functions (MHF4U) and Ontario Grade 12 Calculus and Vectors (MCV4U) or MATH-1780.) (Antirequisite: MATH-1760.) (3 lecture hours, 1 tutorial hour per week.)
This course will cover a review of functions, trigonometric functions and identities, transcendental functions, inverse trigonometric functions, introduction to limits, continuity, derivatives and applications, mean value theorem, indeterminate forms and l’Hôpital’s rule, antiderivatives and an introduction to definite integrals. This course is for students who have taken Ontario Grade 12 Advanced Functions (MHF4U), but have not taken Ontario Grade 12 Calculus and Vectors (MCV4U). Students who have credit for MCV4U should take MATH-1720. The course is equivalent to MATH-1720 for all prerequisite purposes. (Prerequisite: Ontario Grade 12Advanced Functions (MHF4U).) (Antirequisite: MATH-1720.) (4 lecture hours, 1 tutorial hour per week.)
The objectives of this course are to excite students’ interest in computer science and to give students a precise understanding of a number of difficult concepts that are fundamental to modern computer science. Topics may include: induction and recursion; algebraic characterization; syntax; semantics; formal logic; soundness, completeness, and decidability; specification, algorithm, and determinism; complexity. (Restricted to students registered in programs offered wholly or jointly by Computer Science or by Mathematics and Statistics, or with approval of Computer Science.) (3 lecture hours and 1.5 laboratory hours a week).
This course is the first of a two-course sequence designed to introduce students to algorithm design and programming in a high-level language such as C. The main objectives of the course are to develop the ability to identify, understand and design solutions to a wide variety of problems. Topics include: computer system overview, hardware and software, problem solving steps, concepts of variables, constants, data types, algorithmic structure, sequential logic, decisions, loops, modular programming, one-dimensional arrays, text files. If possible, problems like searching/sorting will be addressed. (3 lecture hours and 1.5 laboratory hours a week).