Physics and Computer Science Major (B.Sc.) (66 credits)
Offered by: Physics (Faculty of Science)
Degree: Bachelor of Science
Program credit weight: 66
Program Description
The Major Physics and Computer Science is designed to give motivated students the opportunity to combine the two fields in a way that will distinguish them from the graduates of either field by itself. The two disciplines complement each other, with physics providing an analytic problem-solving outlook and basic understanding of nature, while computer science enhances the ability to make practical and marketable applications, in addition to having its own theoretical interest. Graduates of this program may be able to present themselves as being more immediately useful than a pure physics major, but with more breadth than just a programmer. They will be able to demonstrate their combined expertise in the Special Project course which is the centrepiece of the final year of the program.
Degree Requirements — B.Sc.
This program is offered as part of a Bachelor of Science (B.Sc.) degree.
To graduate, students must satisfy both their program requirements and their degree requirements.
- The program requirements (i.e., the specific courses that make up this program) are listed under the Course Tab (above).
- The degree requirements—including the mandatory Foundation program, appropriate degree structure, and any additional components—are outlined on the Degree Requirements page.
Students are responsible for ensuring that this program fits within the overall structure of their degree and that all degree requirements are met. Consult the Degree Planning Guide on the SOUSA website for additional guidance.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Program Prerequisites
Students entering Physics programs from the Freshman program must have successfully completed the courses below or their equivalents. Quebec students must have completed the DEC with appropriate science and mathematics courses.
| Course | Title | Credits |
|---|---|---|
| CHEM 110 | General Chemistry 1. | 4 |
General Chemistry 1. Terms offered: this course is not currently offered. A study of the fundamental principles of atomic structure, radiation and nuclear chemistry, valence theory, coordination chemistry, and the periodic table. | ||
| CHEM 120 | General Chemistry 2. | 4 |
General Chemistry 2. Terms offered: this course is not currently offered. A study of the fundamental principles of physical chemistry. | ||
| PHYS 131 | Mechanics and Waves. | 4 |
Mechanics and Waves. Terms offered: this course is not currently offered. The basic laws and principles of Newtonian mechanics; oscillations, waves, and wave optics. | ||
| PHYS 142 | Electromagnetism and Optics. | 4 |
Electromagnetism and Optics. Terms offered: this course is not currently offered. The basic laws of electricity and magnetism; geometrical optics. | ||
One of:
| Course | Title | Credits |
|---|---|---|
| BIOL 111 | Principles: Organismal Biology. | 3 |
Principles: Organismal Biology. Terms offered: this course is not currently offered. An introduction to the phylogeny, structure, function and adaptation of unicellular organisms, plants and animals in the biosphere. | ||
| BIOL 112 | Cell and Molecular Biology. | 3 |
Cell and Molecular Biology. Terms offered: this course is not currently offered. The cell: ultrastructure, division, chemical constituents and reactions. Bioenergetics: photosynthesis and respiration. Principles of genetics, the molecular basis of inheritance and biotechnology. | ||
MATH 133 Linear Algebra and Geometry. and either MATH 140 Calculus 1./MATH 141 Calculus 2. or MATH 150 Calculus A./MATH 151 Calculus B..
| Course | Title | Credits |
|---|---|---|
| MATH 133 | Linear Algebra and Geometry. | 3 |
Linear Algebra and Geometry. Terms offered: Summer 2025 Systems of linear equations, matrices, inverses, determinants; geometric vectors in three dimensions, dot product, cross product, lines and planes; introduction to vector spaces, linear dependence and independence, bases. Linear transformations. Eigenvalues and diagonalization. | ||
| MATH 140 | Calculus 1. | 3 |
Calculus 1. Terms offered: Summer 2025 Review of functions and graphs. Limits, continuity, derivative. Differentiation of elementary functions. Antidifferentiation. Applications. | ||
| MATH 141 | Calculus 2. | 4 |
Calculus 2. Terms offered: Summer 2025 The definite integral. Techniques of integration. Applications. Introduction to sequences and series. | ||
| MATH 150 | Calculus A. | 4 |
Calculus A. Terms offered: this course is not currently offered. Functions, limits and continuity, differentiation, L'Hospital's rule, applications, Taylor polynomials, parametric curves, functions of several variables. | ||
| MATH 151 | Calculus B. | 4 |
Calculus B. Terms offered: this course is not currently offered. Integration, methods and applications, infinite sequences and series, power series, arc length and curvature, multiple integration. | ||
U1 Required Courses (21 credits)
| Course | Title | Credits |
|---|---|---|
| COMP 250 | Introduction to Computer Science. | 3 |
Introduction to Computer Science. Terms offered: this course is not currently offered. Mathematical tools (binary numbers, induction,recurrence relations, asymptotic complexity,establishing correctness of programs). Datastructures (arrays, stacks, queues, linked lists,trees, binary trees, binary search trees, heaps,hash tables). Recursive and non-recursivealgorithms (searching and sorting, tree andgraph traversal). Abstract data types. Objectoriented programming in Java (classes andobjects, interfaces, inheritance). Selected topics. | ||
| MATH 222 | Calculus 3. | 3 |
Calculus 3. Terms offered: Summer 2025 Taylor series, Taylor's theorem in one and several variables. Review of vector geometry. Partial differentiation, directional derivative. Extreme of functions of 2 or 3 variables. Parametric curves and arc length. Polar and spherical coordinates. Multiple integrals. | ||
| MATH 223 | Linear Algebra. | 3 |
Linear Algebra. Terms offered: this course is not currently offered. Review of matrix algebra, determinants and systems of linear equations. Vector spaces, linear operators and their matrix representations, orthogonality. Eigenvalues and eigenvectors, diagonalization of Hermitian matrices. Applications. | ||
| MATH 240 | Discrete Structures. | 3 |
Discrete Structures. Terms offered: this course is not currently offered. Introduction to discrete mathematics and applications. Logical reasoning and methods of proof. Elementary number theory and cryptography: prime numbers, modular equations, RSA encryption. Combinatorics: basic enumeration, combinatorial methods, recurrence equations. Graph theory: trees, cycles, planar graphs. | ||
| PHYS 230 | Dynamics of Simple Systems. | 3 |
Dynamics of Simple Systems. Terms offered: this course is not currently offered. Translational motion under Newton's laws; forces, momentum, work/energy theorem. Special relativity; Lorentz transforms, relativistic mechanics, mass/energy equivalence. Topics in rotational dynamics. Noninertial frames. | ||
| PHYS 257 | Experimental Methods 1. | 3 |
Experimental Methods 1. Terms offered: this course is not currently offered. Introductory laboratory work and data analysis as related to mechanics, optics and thermodynamics. Introduction to computers as they are employed for laboratory work, for data analysis and for numerical computation. Previous experience with computers is an asset, but is not required. | ||
| PHYS 258 | Experimental Methods 2. | 3 |
Experimental Methods 2. Terms offered: this course is not currently offered. Advanced laboratory work and data analysis as related to mechanics, optics and thermodynamics. Computers will be employed routinely for data analysis and for numerical computation, and, particularly, to facilitate the use of Fourier methods. | ||
U2 Required Courses (24 credits)
| Course | Title | Credits |
|---|---|---|
| COMP 206 | Introduction to Software Systems. | 3 |
Introduction to Software Systems. Terms offered: this course is not currently offered. Comprehensive overview of programming in C, use of system calls and libraries, debugging and testing of code; use of developmental tools like make, version control systems. | ||
| COMP 251 | Algorithms and Data Structures. | 3 |
Algorithms and Data Structures. Terms offered: this course is not currently offered. Data Structures: priority queues, balanced binary search trees, hash tables, graphs. Algorithms: topological sort, connected components, shortest paths, minimum spanning trees, bipartite matching, network flows. Algorithm design: greedy, divide and conquer, dynamic programming, randomization. Mathematicaltools: proofs of asymptotic complexity and program correctness, Master theorem. | ||
| COMP 302 | Programming Languages and Paradigms. | 3 |
Programming Languages and Paradigms. Terms offered: this course is not currently offered. Programming language design issues and programming paradigms. Binding and scoping, parameter passing, lambda abstraction, data abstraction, type checking. Functional and logic programming. | ||
| COMP 350 | Numerical Computing. | 3 |
Numerical Computing. Terms offered: this course is not currently offered. Computer representation of numbers, IEEE Standard for Floating Point Representation, computer arithmetic and rounding errors. Numerical stability. Matrix computations and software systems. Polynomial interpolation. Least-squares approximation. Iterative methods for solving a nonlinear equation. Discretization methods for integration and differential equations. | ||
| MATH 314 | Advanced Calculus. | 3 |
Advanced Calculus. Terms offered: this course is not currently offered. Derivative as a matrix. Chain rule. Implicit functions. Constrained maxima and minima. Jacobians. Multiple integration. Line and surface integrals. Theorems of Green, Stokes and Gauss. Fourier series with applications. | ||
| MATH 315 | Ordinary Differential Equations. | 3 |
Ordinary Differential Equations. Terms offered: this course is not currently offered. First order ordinary differential equations including elementary numerical methods. Linear differential equations. Laplace transforms. Series solutions. | ||
| PHYS 232 | Heat and Waves. | 3 |
Heat and Waves. Terms offered: this course is not currently offered. The laws of thermodynamics and their consequences. Thermodynamics of P-V-T systems and simple heat engines. Free, driven, and damped harmonic oscillators. Coupled systems and normal modes. Fourier methods. Wave motion and dispersion. The wave equation. | ||
| PHYS 241 | Signal Processing. | 3 |
Signal Processing. Terms offered: this course is not currently offered. Linear circuit elements, resonance, network theorems, diodes, transistors, amplifiers, feedback, integrated circuits. | ||
U3 Required Courses (21 credits)
| Course | Title | Credits |
|---|---|---|
| COMP 360 | Algorithm Design. | 3 |
Algorithm Design. Terms offered: this course is not currently offered. Advanced algorithm design and analysis. Linear programming, complexity and NP-completeness, advanced algorithmic techniques. | ||
| MATH 323 | Probability. | 3 |
Probability. Terms offered: Summer 2025 Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem. | ||
| PHYS 331 | Topics in Classical Mechanics. | 3 |
Topics in Classical Mechanics. Terms offered: this course is not currently offered. Forced and damped oscillators, Newtonian mechanics in three dimensions, rotational motion, Lagrangian and Hamiltonian mechanics, small vibrations, normal modes. Nonlinear dynamics and chaos. | ||
| PHYS 339 | Measurements Laboratory in General Physics. | 3 |
Measurements Laboratory in General Physics. Terms offered: this course is not currently offered. Introduction to modern techniques of measurement. The use of computers in performing and analysing experiments. Data reduction, statistical methods, report writing. Extensive use of computers is made in this laboratory; therefore some familiarity with computers and computing is an advantage. | ||
| PHYS 340 | Majors Electricity and Magnetism. | 3 |
Majors Electricity and Magnetism. Terms offered: this course is not currently offered. The electrostatic field and scalar potential. Dielectric properties of matter. Energy in the electrostatic field. Methods for solving problems in electrostatics. The magnetic field. Induction and inductance. Energy in the magnetic field. Magnetic properties of matter. Maxwell's equations. The dipole approximation. | ||
| PHYS 346 | Majors Quantum Physics. | 3 |
Majors Quantum Physics. Terms offered: this course is not currently offered. De Broglie waves, Bohr atom. Schroedinger equation, wave functions, observables. One dimensional potentials. Schroedinger equation in three dimensions. Angular momentum, hydrogen atom. Spin, experimental consequences. | ||
| PHYS 489 | Special Project. | 3 |
Special Project. Terms offered: this course is not currently offered. A project incorporating aspects of both physics and computer science, under the joint supervision of the two departments. The Physics aspect may be either laboratory-based or theoretical in nature. The Computational aspect will involve the development and implementation of algorithms arising from the investigation. | ||