While the study of physics allows us to understand how the universe works, medical physics emphasizes the application of physics ideas and technology to the diagnosis and treatment of diseases in the human body, particularly cancer, as well as the visualization of these diseases via modern medical imaging techniques. Specialize in the areas of medical imaging and radiation therapy. You’ll take courses with hands-on laboratory components and be able to tailor your degree by choosing options that match your interests. You can start your career upon graduation or go on to grad or professional schools.
Course Requirements: Advanced Functions/MHF4U, Physics/SPH4U, English/ENG4U
Strongly Recommended: Calculus & Vectors/MCV4U
Recommended: Chemistry/SCH4U
Minimum Average: 70% (70% average of all attempted science and math courses)
Mean Average: 88%
Course Requirements: Advanced Functions/MHF4U, Physics/SPH4U, English/ENG4U
Strongly Recommended: Calculus & Vectors/MCV4U
Recommended: Chemistry/SCH4U
Minimum Average: 70% (70% average of all attempted science and math courses)
Mean Average: 88%
* Course with lab
1 Students who have credit for MCV4U Calculus and Vectors should register in MATH 1250 and MATH 1720; those who do not have this credit should register in MATH 1260 and MATH 1760.
Pre-professional counselling is available from advisors across campus in each of the program areas. Students interested in a professional program following their undergraduate degree can also be advised, or directed to an appropriate advisor, though the Head Start Program, the Centre for Student Success, or from the Faculty of Science.
Introductory concepts in chemistry, including reactions of atoms, ions, and molecules, solution stoichiometry, thermochemistry, electronic structure of atoms, basic chemical bonding and molecular geometry, periodic properties of the elements, and the theory of gases. (Prerequisite: Grade 12U Chemistry or equivalent (CHEM-1000), or consent of the instructor.) (3 lecture, 3 laboratory/tutorial 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)
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, 1 tutorial hour 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. (Prerequisite: Ontario Grade 12 Advanced Functions (MHF4U).) (Antirequisites: MATH-1250, MATH-1270.) (4 lecture hours, 1 tutorial hour per week.)
Trigonometric functions and identities. Inverse trigonometric functions. Limits and continuity. Derivatives and applications. Mean Value Theorem. Indeterminate forms and l’Hôpital’s Rule. Antiderivatives. Introduction to definite integrals. (Prerequisite: Grade 12 Advanced Functions and Grade 12 Calculus and Vectors or equivalent, or MATH 1780.) (Antirequisite: MATH 1720) (3 lecture hours, 1 tutorial hour a week.)
Trigonometric functions and identities, inverse trigonometric functions, limits and continuity, derivatives and applications, Mean value theorem, indeterminate forms and l’Hôpital’s rule, antiderivatives, introduction to indefinite integrals. (This course is required for students who do not have credit for Ontario Grade 12 Calculus and Vectors. The course is equivalent to MATH 1720 for all prerequisite purposes.) (Prerequisite: Grade 12 Advanced Functions.) (Antirequisite: MATH 1720.) (4 lecture hours, 1 tutorial hour a week.)
Mechanics; properties of matter and heat. A calculus-based course. (Prerequisites: Grade 12U Advanced Functions and Introductory Calculus or equivalent.) Recommended co-requisite: MATH-1720.) (3 lecture hours a week, 2 laboratory hours and 1 tutorial hour every week). Open to students in Human Kinetics, Forensic Science, Bachelor of Arts and Science, , and all programs within in the Faculty of Science; exceptions only with the permission of the Head or designate. (Antirequisites: PHYS-1300, PHYS-1305.)
A continuation of CHEM-1100 covering topics such as chemical kinetics, general equilibrium theory, acid-base theory, chemical thermodynamics, and introduction to organic chemistry. (Prerequisite: CHEM-1100.) (3 lecture, 3 laboratory/tutorial hours a week.)
Wave motion, sound, electricity and magnetism, light, and modern physics. (Prerequisite: PHYS-1400 or GENG-1110.) (3 lecture hours per week, 1 tutorial hour and 2 laboratory hours every week.) (Antirequisites: PHYS-1310) (Open to students in Engineering, Human Kinetics, Forensic Science, Bachelor of Arts and Science, and all programs within in the Faculty of Science; exceptions only with the permission of the Head or designate.)
This course will cover antiderivatives, the definite integral and the fundamental theorem of calculus, techniques of integration, applications, improper integrals, sequences and series, convergence tests, power series, Taylor and Maclaurin series, and polar and parametric coordinates. (Prerequisite: MATH 1760 or MATH 1720.) (3 lecture hours, 1 tutorial hour per week.)
An introduction to the pillars of 20th and 21st century physics which form the basis of subsequent courses in physics and the basis of current research: complexity and chaos, special and general relativity, quantum phenomena, symmetry and symmetry breaking, and cosmology. Motivated by these pillars, mathematical tools and techniques that are used extensively in physics for practical problem solving and data analysis are introduced at a first-year level. Computer-aided graphical and approximate computational methods will also be introduced. (Prerequisites: PHYS 1400, MATH 1720, and MATH 1250) (3 lecture hours and one tutorial hour per week.)
This course is the continuation of COMP-1400 that introduces students to more advanced 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 covered include: multi-dimensional arrays, pointers, strings, advanced modular programming, records, binary files, recursion, stacks, linked lists and introduction to algorithm analysis. (Prerequisite: COMP-1000 (or MATH-1720) and COMP-1400.) (3 lecture and 1.5 laboratory hours a week).
The University of Windsor sits on the traditional territory of the Three Fires Confederacy of First Nations, which includes the Ojibwa, the Odawa, and the Potawatomi. We respect the longstanding relationships with First Nations people in this place in the 100-mile Windsor-Essex peninsula and the straits – les détroits – of Detroit.
Thursday, December 5th, 2024