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An introduction to computing science and computer programming, using a systems oriented language, such as C or C++. This course introduces basic computing science concepts. Topics will include: elementary data types, control structures, functions, arrays and strings, fundamental algorithms, computer organization and memory management. Prerequisite: BC Math 12 (or equivalent, or any of MATH 100, 150, 151, 154, or 157, with a minimum grade of C-). Students with credit for CMPT 102, 120, 128 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.

Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. First-order separable differential equations and growth models. Sequences and series, series tests, power series, convergence and applications of power series. Prerequisite: MATH 150 or 151, with a minimum grade of C-; or MATH 154 or 157 with a grade of at least B. Students with credit for MATH 155 or 158 may not take this course for further credit. Quantitative.

Linear equations, matrices, determinants. Introduction to vector spaces and linear transformations and bases. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. An emphasis on applications involving matrix and vector calculations. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C-; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 240 may not take this course for further credit. Quantitative.

Rectangular, cylindrical and spherical coordinates. Vectors, lines, planes, cylinders, quadric surfaces. Vector functions, curves, motion in space. Differential and integral calculus of several variables. Vector fields, line integrals, fundamental theorem for line integrals, Green's theorem. Prerequisite: MATH 152 with a minimum grade of C-; or MATH 155 or MATH 158 with a grade of at least B. Recommended: It is recommended that MATH 240 or 232 be taken before or concurrently with MATH 251. Quantitative.

The course teaches fundamentals of informative and persuasive communication for professional engineers and computer scientists in order to assist students in thinking critically about various contemporary technical, social, and ethical issues. It focuses on communicating technical information clearly and concisely, managing issues of persuasion when communicating with diverse audiences, presentation skills, and teamwork. Students with credit for CMPT 105W, SEE 101W, ENSC 102 or ENSC 105W may not take MSE 101W for further credit. Writing.

Reviews the different modes of thought characteristic of science, engineering and computing. Examines the histories and chief current research issues in these fields. Considers the ethical and social responsibilities of engineering and computing work. Students with credit for CMPT 106, ENSC 100 or ENSC 106 may not take MSE 102 for further credit. Breadth-Humanities/Sciences.

Force vectors in two- and three-dimensions, equilibrium of a particle in two- and three-dimensions; moments and couples; equilibrium of rigid bodies in two- and three-dimensions. Planar kinematics of particles; planar kinetics of particles; work and energy, impulse, and momentum of particles.

An introduction to the field of mechatronics and relevant hands-on experience in designing and programming robotic systems. Through a combination of theory, practical exercises, and project work, students will gain a solid foundation in programming using Python, learn the basics of a microcontroller platform, and develop the skills necessary to build and control simple robots. Topics include sensors, actuators and data acquisition techniques in sensory-based systems. Prerequisite: CMPT 120. Students with credit for MSE 110 may not take this course for further credit.

Delve into critical topics such as code version control, multi-file project build systems, unit and integration testing, advanced C-programming topics including pointers, data structures, memory management, design patterns, device drivers, and real-world case studies. Prerequisite: CMPT 130.

An introduction to methods to collect and analyse engineering data. Topics include the Engineering data representation, Discrete and continuous probability density functions, Engineering measurements, Error analysis, Introduction to sensor interfaces, Introduction to physical sensors, Introduction to sensor signal conditioning, Noise, Test of hypotheses, Linear and nonlinear regression, and Design of experiments. Prerequisite: PHYS 141 or equivalent. MATH 150 or MATH 151. Students with credit for SEE 241 or ENSC 280 may not take MSE 210 for further credit.

Design, iterate, prototype and evaluate a 3D static system. This project-based learning design course incorporates computer aided design tools and uses traditional and rapid additive manufacturing. Instrumented prototype is evaluated based on competing project objectives. Introduction to manufacturing systems, at machine shop and industrial scales. Prerequisite: MSE 103 and (MSE 110 or MSE 112).

Materials, their structures, properties and performance; crystal structures and instruments for structure determination; polymers, ceramics, and composites; quality control and reliability. Engineering application of materials. Prerequisite: CHEM 120 or 121. Students with credit for SEE 222, ENSC 231 or ENSC 330 may not take MSE 220 for further credit.

Covers fundamental concepts of Statics and Strength of Materials. Statics: 2D and 3D force and moment systems. equilibrium of rigid bodies, analysis of structures, distributed forces, centroids and moments of inertia. Strength of Materials: introduction to stress and strain, axial loading, torsion, pure bending, analysis and design of beams for bending and combined loading, deflection of beams, and transformation of stresses. Prerequisite: PHYS 140, MATH 152. Students with credit for SEE 221, ENSC 281 or ENSC 385 may not take this course for further credit.

Planar and 3D motions kinematics and kinetics of rigid bodies and mechanisms; linkages, gears, cams; synthesis and analysis of mechanisms; consideration of the static and dynamic forces in machines; vibration analysis, response to shock, motion and force transmissibility, vibration isolation. Prerequisite: PHYS 140, MATH 152, and (MATH 260 or MATH 310). Students with credit for ENSC 282 may not take MSE 222 for further credit.

Physical properties of fluids and fundamental concepts in fluid mechanics. Hydrostatics. Conservation laws for mass, momentum and energy. Flow similarity and dimensional analysis as applied to engineering problems in fluid mechanics. Laminar and turbulent flow. Engineering applications such as flow measurement, flow in pipes and fluid forces on moving bodies. Prerequisite: PHYS 140, MATH 251, and (MATH 260 or MATH 310). Students with credit for ENSC 283 or SEE 225 may not take MSE 223 for further credit.

This course will cover the following topics: fundamental electrical circuit quantities, and circuit elements; circuits laws such as Ohm law, Kirchoff's voltage and current laws, along with series and parallel circuits; operational amplifiers; network theorems; nodal and mesh methods; analysis of natural and step response of first (RC and RL), as well as second order (RLC) circuits; real, reactive and rms power concepts. In addition, the course will discuss the worker safety implications of both electricity and common laboratory practices such as soldering. Prerequisite: PHYS 141 or (PHYS 121 and 131), and MATH 232 and (MATH 260 or MATH 310). (MATH 260 or MATH 310) may be taken concurrently. Students with credit for SEE 230 or ENSC 220 may not take MSE 250 for further credit. Quantitative.

Introduces the basic electronic components, amplifiers, diodes, and oscillators. Fundamentals of logic design. Prerequisite: MSE 250 or ENSC 220 or SEE 230. Students with credit for SEE 231, ENSC 225 or ENSC 226 may not take MSE 251 for further credit.

Explore digital logic and Programmable Logic Controllers (PLCs). This course bridges theory and practice, covering digital circuits, PLC systems, and hands-on exercises. Engage in laboratory work and projects, applying concepts like Boolean algebra, combinational logic, counters, timers, and more to real-world applications.

The objectives of this course are to cover the modelling and analysis of continuous and discrete signals using linear techniques. Topics covered include: a review of Laplace transforms; methods for the basic modelling of physical systems; discrete and continuous convolution; impulse and step response; transfer functions and filtering; the continuous Fourier transform and its relationship to the Laplace transform; frequency response and Bode plots; sampling; the Z-transform. Prerequisite: MSE 250 (or ENSC 220) and (MATH 260 or MATH 310). Students with credit for ENSC 380 or SEE 341 may not take MSE 280 for further credit.

The theory and application of first, second and higher order linear differential equations. Introduction to system modeling to allow the construction of dynamic models of mechanical and electrical engineering systems. Laplace transforms. Prerequisite: MATH 251, MSE 103, MSE 250. MSE 250 may be taken concurrently.

Covers topics in decision theory and engineering economics including: gap analysis, multi-attribute utility theory, discounted cash flow fundamentals, inflation, depreciation, tax, financial analysis, uncertainty and optimization. Prerequisite: More than 65 units. Students with credit for SEE 300 may not take this course for further credit.

This course provides an introduction to sensors and actuators for electromechanical, computer-controlled machines and devices. Topics include operating principles, design considerations, and applications of analog sensors, digital transducers, stepper motors, continuous-drive actuators, and drive system electronics. Component integration and design considerations are studied through examples selected from various mechatronic applications. Laboratory exercises to strengthen the understanding of the course material are developed and required. Prerequisite: MSE 221, MSE 222, MSE 251, MSE 280. Students with credit for ENSC 387 may not take MSE 310 for further credit.

Interweaves mechanisms, electronics, sensors, and control strategies with software and information technology to examine the demands and ideas of customers and find the most efficient, cost-effective method to transform their goals into successful commercial products. Most of the term is devoted to a significant design project in which student groups work independently and competitively, applying the design process to a project goal set by the faculty co-ordinator. Prerequisite: MSE 110 (or ENSC 182), MSE 320 (or ENSC 382), MSE 381 (or ENSC 383). MSE 381 may be taken concurrently. Students with credit for ENSC 384 may not take MSE 312 for further credit.

Review of stress and strain in solids, superposition, energy theorems, theories of failure, elastic and inelastic analysis of symmetrical bending, torsion of circular members, and virtual work. Adequacy assessment and synthesis of machine elements with a focus on the design process. Static failure of ductile and brittle materials, fatigue analysis of structures. Topics include the design of welds, bolted connections, springs and shafts. Solution strategies include both analytical and finite element methods. Prerequisite: MSE 100 or ENSC 104, MSE 220 or ENSC 231, MSE 221 or ENSC 281. MSE 100 may be taken concurrently. Students with credit for ENSC 382 may not take MSE 320 for further credit.

Energy transfer as work and heat, the First Law of thermodynamics. Properties and states of simple substances. Control-mass and control-volume analyses. Entropy, the Second Law of thermodynamics. Carnot cycle. Energy conversion systems; internal combustion engines, power plants and refrigeration cycles. Heat transfer by conduction, convection, and radiation. Formulation and solution of steady and transient problems. Cooling of microelectronics, thermal solutions. Prerequisite: MATH 251 and MSE 223. Students with credit for ENSC 388 may not take this course for further credit.

Introduction to digital systems and number representation. Combinational systems and sequential logic. Counter design and registers. Synchronous sequential design. Microprocessor applications, memory and I/O systems. Microcontrollers: features, architecture and programming model. Introduction to assembly language and microcontroller programming. Addressing modes, assembling and linking programs. Timer/counter programming. ADC, DAC, and sensor interfacing. Prerequisite: CMPT 130 and either MSE 251 or ENSC 226.

3-phase circuits, power quality, and transformers, Characteristic of power semiconductor devices, Line frequency controlled rectifiers, Buck, boost, and buck-boost dc-dc power converters, Pulse Width Modulation (PWM) techniques, Voltage source inverters and full-bridge topology, Introduction to dc machines, Introduction to stepper motors, Introduction to induction motors, Introduction to synchronous machines. Prerequisite: MSE 251 (previously ENSC 226). Students with credit for SEE 331 may not take MSE 353 for further credit.

This course is an introduction to the analysis, design, and applications of continuous time linear control systems. Topics include transfer function representation of open and closed loop systems, time domain specifications and steady state error, sensitivity analysis, time and frequency response, and stability criteria. It includes a treatment of methods for the analysis of control systems based on the root locus, Bode plots and Nyquist criterion, and their use in the design of PID, and lead-lag compensation. Lab work is included in this course. Prerequisite: MSE 280 (or ENSC 380). Students with credit for ENSC 383 or SEE 342 may not take MSE 381 for further credit.

This course provides an introduction to the engineering profession, professional practice, engineering law and ethics, including the issues of worker and public safety. It also offers opportunities to explore the social implications and environmental impacts of technologies, including sustainability, and to consider engineers' responsibility to society. Prerequisite: 100 units including one of MSE 102, ENSC 100, ENSC 106, or CMPT 106. MSE 102 may be taken concurrently. Students with credit for ENSC 406 or SEE 402 may not take MSE 402 for further credit.

Through the development of a business plan, MSE 405W simulates entrepreneurial activities associated with launching a technology-based start-up company. In a traditional lecture and tutorial format, students are introduced to practical and theoretical business subject-matter in engineering. Students participate in a team project and use collaborative writing strategies to produce a business plan and presentation relating to a technology-based start-up venture. Components of the business plan are submitted in multiple stages including a concept summary, proposal, marketing and operation plans, and executive summary. Prerequisite: MSE 300 or ENSC 311. Students with credits for ENSC 312 may not take this course for further credit. Writing.

Students will combine their technical and mechatronic design knowledge to conceive, and design a product. A comprehensive report is required at the end of the term. Prerequisite: Completion of at least 24 units from the upper division list of MSE curriculum courses and completion of two co-op terms (MSE 293 or MSE 294 and MSE 393 or MSE 394). Must not be taken concurrently with MSE 493 or MSE 494. Students with credit for ENSC 405W or SEE 410W may not take this course for further credit.

Students will apply their technical knowledge to develop a prototype system representing a product that was designed earlier in MSE 410. Students will then present it to a panel of engineers, faculty and student members. Prerequisite: MSE 410. Must not be taken concurrently with MSE 493 or MSE 494. Students with credit for ENSC 440 or SEE 411 may not take MSE 411 for further credit.

A general calculus-based introduction to electricity, magnetism and optics taught in an integrated lecture-laboratory environment. Topics include electricity, magnetism, simple circuits, optics and topics from applied physics. Prerequisite: PHYS 120 or PHYS 125 or PHYS 140 or MSE 103, with a minimum grade of C-, or PHYS 101 with a minimum grade of B. Corequisite: MATH 152 or MATH 155. Students with credit for PHYS 126 or 121 or 102 may not take this course for further credit. Quantitative/Breadth-Science.

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Topics as for Math 151 with a more extensive review of functions, their properties and their graphs. Recommended for students with no previous knowledge of Calculus. In addition to regularly scheduled lectures, students enrolled in this course are encouraged to come for assistance to the Calculus Workshop (Burnaby), or Math Open Lab (Surrey). Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B+, or MATH 100 with a grade of at least B-, or achieving a satisfactory grade on the ¶¡ÏãÔ°AV Calculus Readiness Test. Students with credit for either MATH 151, 154 or 157 may not take MATH 150 for further credit. Quantitative.

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Logarithmic and exponential functions, trigonometric functions, inverse functions. Limits, continuity, and derivatives. Techniques of differentiation, including logarithmic and implicit differentiation. The Mean Value Theorem. Applications of differentiation including extrema, curve sketching, Newton's method. Introduction to modeling with differential equations. Polar coordinates, parametric curves. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least A, or MATH 100 with a grade of at least B, or achieving a satisfactory grade on the ¶¡ÏãÔ°AV Calculus Readiness Test. Students with credit for either MATH 150, 154 or 157 may not take MATH 151 for further credit. Quantitative.

Atomic and molecular structure; chemical bonding; thermochemistry; elements; periodic table; gases, liquids, solids, and solutions. This course has the same lecture component as CHEM 121 but no laboratory work. Students who intend to take further courses in chemistry should also take CHEM 125 or alternatively take CHEM 121 instead. Prerequisite: Chemistry 12 with a minimum grade of B, or CHEM 110 or 111 with a minimum grade of C-. Students with credit for CHEM 121 or CHEM 123 may not take this course for further credit. Quantitative/Breadth-Science.

Atomic and molecular structure; chemical bonding; thermochemistry; elements; periodic table; gases liquids, solids, and solutions. This course includes a laboratory component. Prerequisite: Chemistry 12 with a minimum grade of B, or CHEM 109 or 111 with a minimum grade of C-. Students with credit for CHEM 120 or 125 may not take this course for further credit. Quantitative/Breadth-Science.

Engineering students are introduced to biological levels of organization and biosystems thinking. Specific lecture and lab topics include: cells and cellular processes, DNA, plant biology, animal biology, pathogens, ecology, and biosystems. Prerequisite: Enrolled in the MSE program. Students who have taken BISC 101 or higher level BISC courses first may not then take this course for further credit.

Introduction to biosystems engineering with relation to agriculture and agricultural engineering. Covers natural resource management including water irrigation, scheduling, conservation and contaminants; soil and soil erosion. Controlled environments for agricultural. Introduction to agricultural machinery. All with a focus on sustainable agricultural practices and understanding the environmental impact assessments of technology and agricultural practices. Prerequisite: CHEM 120.

Digital agricultural mapping and technologies. Guidance and path sensing for agriculture including autonomous technologies, drones and AUVs. Sensing technologies including optical, gas, temperatures sensors for aerial and remote sensing of the environment and agricultural products, in natural and controlled settings. Data gathering and management, analysis of sensor data, including the application of variable rate systems. Prerequisite: MSE 310 and MSE 360.

An introduction to manufacturing systems: industrial robotics, manufacturing system components and definitions, material handling systems, production lines, assembly systems, robotic cell design, cellular manufacturing, flexible manufacturing systems, quality control, manufacturing support systems. Prerequisite: MSE 310 (or ENSC 387)and a minimum of 80 credits. Students with credit for ENSC 432 may not take MSE 480 for further credit.

Combines biotechnology and engineering for materials and energy harvesting for a broad range of industrial and environmental applications. Offers an in-depth understanding of underlying principles of bioprocesses, which leads to design and operation of a variety of innovative biosensors, control systems and full-scale bioreactors. Sustainable engineering applications include food processing and preservation, biofuel production, and energy generation from waste streams. Prerequisite: (MATH 260 or MATH 310), and SEE 224. Corequisite: SEE 324. MSE students who completed MSE 321 can take this course upon approval of the course instructor.