丁香园AV

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). Students with credit for CMPT 102, 120, 126, or 128 may not take this course for further credit. Quantitative/Breadth-Science.

A presentation of the problems commonly arising in numerical analysis and scientific computing and the basic methods for their solutions. Prerequisite: MATH 152 or 155 or 158, and MATH 232 or 240, and computing experience. Quantitative.

Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. First-order separable differential equations. Sequences and series, series tests, power series, convergence and applications of power series. Prerequisite: MATH 150 or 151; 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.

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; 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.

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; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 240 make not take this course for further credit. Quantitative.

First-order differential equations, second- and higher-order linear equations, series solutions, introduction to Laplace transform, systems and numerical methods, applications in the physical, biological and social sciences. Prerequisite: MATH 152; or MATH 155/158 with a grade of at least B, MATH 232 or 240. Quantitative.

The fundamentals of graphical communication in order to help students think and communicate visually in the context of engineering design. The course focuses on concepts such as isometric, multi-view sketches, section view, and auxiliary views, tolerancing and dimensioning, as well as fundamentals of schematics and printed circuit boards design. Various computer aided design software are used. Students with credit for ENSC 104 may not take MSE 100 for further credit.

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. Prerequisite: Corequisite: CMPT 106 or MSE 102. Students with credit for CMPT 105W, ENSC 102W 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. Corequisite: MSE 101W or CMPT 105W. Students with credit for CMPT 106, ENSC 100 or ENSC 106 may not take MSE 102 for further credit. Breadth-Humanities/Sciences.

First year project course designed to provide students with a first exposure to the challenges of project organization. Students are responsible for designing and constructing a mechanical robot optimized to solve a particular chosen task. The engineering challenges of the project are expected to focus half on mechanical design and half on control algorithm design and implementation. Students with credit for ENSC 182 may not take MSE 110 for further credit.

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 ENSC 280 or PHYS 231 may not take MSE 210 for further credit.

Materials, their structures, properties and performance; crystal structures and instruments for structure determination; polymers, ceramics, and composites; quality control and reliability. Prerequisite: CHEM 120 or 121; PHYS 140 or 121. Students with credit for ENSC 231 or ENSC 330 may not take MSE 220 for further credit.

Covers basic concepts of mechanics, vectors. Statics of particles. Rigid bodies and force systems, equilibrium of rigid bodies. Analysis of trusses and frames. Distributed forces, centroids and moments of inertia. Friction. Internal shear and bending moments in beams. Strength of material: introduction to mechanical response of materials and stress-strain transformations. Virtual work and energy methods. Prerequisite: PHYS 140, MATH 152. Students with credit for ENSC 281 may not take MSE 221 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 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 152, and 310. Students with credit for ENSC 283 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 121 and 131, or PHYS 126 and 131, or PHYS 141, and MATH 232 and 310. MATH 232 and/or 310 may be taken concurrently. Students with credit for ENSC 125 or 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. Students with credit for ENSC 225 or 226 may not take MSE 251 for further credit.

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 310. Students with credit for ENSC 380 may not take MSE 280 for further credit.

Covers topics in decision theory and engineering economics including: gap analysis, multi-attribute utility theory, discounted cash flow fundamentals, inflation, depreciation, tax, financial analysis, uncertaintly and optimization. Prerequisite: More than 75 units. Students with credit for ENSC 201 or 311 may not take MSE 300 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 applications of machine tools, mechatronics, precision machines, robotics, aerospace systems, and ground and underwater vehicles. Laboratory exercises strengthen the understanding of component performance, system design and integration. Prerequisite: MSE 280 or ENSC 380. Students with credit for ENSC 387 may not take MSE 310 for further credit.

An introduction to microelectromechanical systems, covering thin film processing technologies, bulk and surface micromachining, and MEMS applications. Prerequisite: MSE 222 (or ENSC 282), MSE 251 (or ENSC 226). Students with credit for ENSC 331 may not take MSE 311 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 380 (or ENSC 381). MSE 320 and MSE 380 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. Students with credit for ENSC 382 may not take MSE 320 for further credit.

Conveys the essential principles of digital logic systems which are the building blocks of many electronic systems including computer systems. These principles form the basis of the electronics component of the mechatronics curriculum and therefore a good understanding of the material is crucial. Prerequisite: MSE 251 (or ENSC 226), CMPT 128. Students with credit for ENSC 329 may not take MSE 350 for further credit.

Covers basic microcomputer architecture, design and analysis of address decoders and memory systems, design and analysis of assembly language programs and microcomputer system design. Prerequisite: MSE 350 (or ENSC 329). Students with credit for ENSC 332 may not take MSE 351 for further credit.

Introduction to systems modeling and analysis. Application to engineering systems including: mechanical, electrical, thermal, and fluid systems. Allows the student to acquire, in a time-efficient and uncomplicated manner, knowledge in the formation and construction of dynamic models. The simulation models that the student will design in this course accommodate these analyses, with the construction of realistic hypotheses and elaborate behavior models. Prerequisite: MSE 221 (or ENSC 281), MSE 222 (or ENSC 282), MSE 251 (or ENSC 226). Students with credit for ENSC 381 may not take MSE 380 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 may not take MSE 381 for further credit.

Concepts covered include entrepreneurship, marketing, financing, business plan, project management skills as well as facilitation, communication and negotiation. Students will experience what it is like to be part of a start-up company with a diverse project team. Prerequisite: MSE 300 (or ENSC 311). Students with credit for ENSC 312 may not take MSE 400 for further credit.

This course is integrated with an MSE project course (MSE 410) that provides practical experience with the design process for development projects. Topics include project management, team writing, project documentation (proposals, functional and design specifications, progress reports, and users manuals), group dynamics and dispute resolution. Prerequisite: Either both of ENSC 101W and ENSC 102 or one of MSE 101W, ENSC 105W or CMPT 105W. Corequisite: MSE 410. Students with credit for ENSC 305W may not take MSE 401W for further credit. Writing.

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. Students with credit for ENSC 406 may not take MSE 402 for further credit.

Students will combine their technical, marketing, and entrepreneurship knowledge to conceive, and design a product. Also includes project documentation and project management. At the end of the term a comprehensive report is required. Prerequisite: MSE 400 (or ENSC 312) and 100 units. Corequisite: MSE 401W. Students with credit for ENSC 441 may not take MSE 410 for further credit.

Students will apply their technical, marketing and entrepreneurship knowledge to develop a product that was designed earlier in MSE 410. Students will then present and be able to see it to a panel of engineers, business and investment community members. Prerequisite: MSE 410. Students with credit for ENSC 442 may not take MSE 411W for further credit. Writing.

Focuses on implementation and design of embedded computer control systems used in mechatronics and other applications. Many of these systems are real-time in nature, meaning that the computer system must discern the state of the world and react to it within stringent response-time constraints. Upon completion of the course, the student will have a basic understanding of how to design, build and integrate hardware and software for an embedded control application. Hands-on experience will be gained by performing laboratory experiments and doing an embedded computer control project on a mechatronic system. Prerequisite: MSE 351 (or ENSC 332), MSE 381 (or ENSC 383), and completion of 90 units. Students who have taken ENSC 351 or 451 cannot take MSE 450 for further credit.

Examines modern industrial control systems and applications. Topics include: review of industrial sensors and actuators; computer interfacing; ladder logic and programmable logic controllers; industrial computer and programming methods; industrial networks; human-machine interfaces; supervisory control and data acquisition (SCADA); manufacturing execution systems; and enterprise-wide integration. Prerequisite: MSE 351 (or ENSC 332) and MSE 381 (or ENSC 383). Students with credit for ENSC 484 may not take MSE 481 for further credit.

A general calculus-based introduction to mechanics taught in an integrated lecture-laboratory environment. Topics include translational and rotational motion, momentum, energy, gravitation, and selected topics in modern physics. Prerequisite: BC Principles of Physics 12, or equivalent, with a minimum grade of C-. Corequisite: MATH 150 or 151 or 154 must precede or be taken concurrently. Students with credit for PHYS 125 or 120 or 101 may not take this course for further credit. Quantitative/Breadth-Science.

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 140, with a minimum grade of C-. Corequisite: MATH 152 or 155 must precede or be taken concurrently. 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 丁香园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, related rates, Newton's method. Antiderivatives and applications. Conic sections, 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 丁香园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 laboratory courses in chemistry must take CHEM 121. Prerequisite: BC high school chemistry 12 or CHEM 111 or CHEM 110. Recommended: MATH 151 (or 154) and PHYS 120 (or 101) as a corequisite. Students with credit for CHEM 102, CHEM 104, or CHEM 121 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: BC high school chemistry 12 or CHEM 111. Recommended: MATH 151 (or 154) and PHYS 120 (or 101) as a corequisite. Students may not count both CHEM 120 and 121 for credit. Quantitative/Breadth-Science.