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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.

An introduction to computing science and computer programming, suitable for students wishing to major in Engineering Science or a related program. This course introduces basic computing science concepts, and fundamentals of object oriented programming. Topics include: fundamental algorithms and problem solving; abstract data types and elementary data structures; basic object-oriented programming and software design; elements of empirical and theoretical algorithmics; computation and computability; specification and program correctness; and history of computing science. The course will use a programming language commonly used in Engineering Science. Prerequisite: BC Math 12 (or equivalent, or any of MATH 100, 150, 151, 154, or 157). Students with credit for CMPT 125, 126, 130 or CMPT 200 or higher may not take for further credit. Quantitative/Breadth-Science.

Introduction to a variety of practical and important data structures and methods for implementation and for experimental and analytical evaluation. Topics include: stacks, queues and lists; search trees; hash tables and algorithms; efficient sorting; object-oriented programming; time and space efficiency analysis; and experimental evaluation. Prerequisite: (MACM 101 and either (CMPT 125 and 127) or CMPT 135) or (ENSC 251 and ENSC 252). Quantitative.

Introduction to software engineering techniques used in analysis/design and in software project management. The course centres on a team project involving requirements gathering, object analysis and simple data normalization, use-case-driven user documentation and design followed by implementation and testing. Additionally, there is an introduction to project planning, metrics, quality assurance, configuration management, and people issues. Prerequisite: CMPT 225, MACM 101, MATH 151 (or MATH 150), one W course. MATH 154 or 157 with a grade of at least B+ may be substituted for MATH 151 (or MATH 150). Students with credit for CMPT 276 may not take this course for further credit.

This course aims to give the student an understanding of what a modern operating system is, and the services it provides. It also discusses some basic issues in operating systems and provides solutions. Topics include multiprogramming, process management, memory management, and file systems. Prerequisite: CMPT 225 and MACM 101.

The principal elements of theory concerning utility and value, price and costs, factor analysis, productivity, labor organization, competition and monopoly, and the theory of the firm. Students with credit for ECON 200 cannot take ECON 103 for further credit. Quantitative/Breadth-Soc.

This course is designed to provide an introduction to the practice of engineering, surveying its history and its current state. The social and political aspects of engineering decisions will be illustrated by a number of case studies. Corequisite: ENSC 105W. Students with credit for ENSC 100 CMPT 106, and ENSC 106 may not take this course for further credit. Writing/Breadth-Hum/Science.

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. Corequisite: CMPT 106, ENSC 100 or ENSC 106. Students with credit for CMPT 105W, ENSC 102 or MSE 101W may not take ENSC 105W for further credit. Writing.

This introductory laboratory course will familiarize the students with operating electronics laboratory instrumentation such as linear power supply, digital multi-meter, function generator and oscilloscope. Students are expected to perform 6 lab experiments and submit a work-sheet for each lab session. A final examination will be conducted (individually) to test the proficiency. Prerequisite: BC12 or equivalent.

Introduction to MATLAB and its use in engineering. Implementation, verification, and analysis of various engineering algorithms used in signal and image processing, robotics, communications engineering. Prerequisite: (CMPT 128, CMPT 120, or CMPT 130)and (MATH 151 or MATH 150). Corequisite: MATH 152 and MATH 232.

An introduction to the use of graphical communication in engineering. Objectives are to improve the students' literacy in the use of graphics to communicate engineering information, and their ability to visualize and to think in three dimensions. Specific application areas discussed include 2D and 3D geometry in mechanical drawing, electronics-related drawings, block diagrams, and flow charts. The use of CAD tools will be discussed, and demonstrations of some tools will be provided. Equivalent Courses: ENSC103.

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 or PHYS 126 or PHYS 141) and (ENSC 120 or PHYS 131), and MATH 232 and MATH 310. MATH 232 and/or MATH 310 may be taken concurrently. Students with credit for MSE 250 cannot take this course for further credit. Quantitative.

This course teaches analog/digital electronics and basic device physics in the context of modern silicon integrated circuits technology. Topics include: qualitative device physics and terminal characteristics; implementations and models of basic semiconductor devices (diodes, BJTs and MOSFETs); circuit simulation via SPICE; basic diode circuits; transistors as amplifiers and switching elements; temperature effects and compensation; single-stage transistor amplifiers; biasing, current sources and mirrors. Prerequisite: (ENSC 150 or CMPT 150 or ENSC 252),(ENSC 220 or MSE 250), MATH 232, and MATH 310. Students taking or with credit for ENSC 226 or MSE 251 may not take ENSC 225 for further credit. Quantitative.

Fundamentals for designing and implementing modular programs using a modern object-oriented programming language with a focus on understanding the performance implications of design choices on non-traditional computing platforms. Lecture topics include: classes; objects; debugging, testing & verification; design analysis & abstraction; error handling; fundamental data structures such as lists, trees, and graphs; and big-0 complexity analysis.computing platforms. Lecture topics include: classes; objects; debugging, testing & verification ; design analysis & abstraction ; error handling; fundamental data structures such as lists, trees, and graphs; and big-0 complexity analysis. Prerequisite: CMPT 128 or CMPT 135 or (CMPT 125 and CMPT 127).

Design of digital systems. In particular, students will learn basic digital design concepts including the implementation of synthesizable combinational and sequential logic using HDL and computer based design tools to implement their designs on a FPGA. Prerequisite: CMPT 128 or CMPT 125 or CMPT 126 or CMPT 135. ENSC 252 is a required course for all Engineering Science Majors and Honours Students (no course substitutions are permitted). Students with credit for ENSC/CMPT 150 or ENSC 329/MSE 350 cannot take this course for further credit.

Fundamentals of microprocessor architecture and operation; this includes instruction formats, assembly language programming (procedures and parameter passing, interrupts, etc), and memory and 1/0 port interfaces. Prerequisite: (ENSC 251 & ENSC 252) or (CMPT 150 & CMPT 225 & enrolled as a Computing Science Major). ENSC 254 is a required course for all Engineering Science Majors and Honours students (no course substitutions are permitted). Students with credit for, or who are concurrently enrolled in ENSC/CMPT 250 or ENSC 329/MSE 350 cannot take this course for further credit.

Methods to collect and analyze engineering data. Topics include: engineering data representation, discrete and continuous probability density functions, engineering measurements, error analysis, test of hypotheses, linear and nonlinear regression, and design of experiments. This course includes a significant laboratory component comprising: laboratory measurements and statistical analysis of electronic circuits, introduction to electronic device behaviour, instrument noise. Prerequisite: ((PHYS 121 and ENSC 120) or PHYS 141) and (MATH 251 and MATH 232). MATH 251 and/or MATH 232 may be taken concurrently with ENSC 280. Engineering Science Majors and Honours students are requires to take ENSC 280 (no course substitutions will be accepted). Students with credit for STAT 270, MSE 210, or PHYS 231 cannot take this course for further credit.

Topics covered include: use of Laplace transform in circuit analysis, including poles and zeros, frequency response and impulse response: convolution as a method for computing circuit responses: resonant and bandpass circuits; magnetically coupled circuits; two port circuits; and filtering. Also includes a laboratory component dealing with the design and implementation of active filters. Prerequisite: (ENSC 220 or MSE 250), MATH 232, and MATH 310.

The essential physics of silicon semiconductor devices that form the heart of integrated circuits today. An introduction to semiconductor device physics upon which device models are based leading to the development of the drift-diffusion equations. The static and dynamic behavior of PN junction diodes, bipolar junction transistors, and field effect transistors will be covered along with the application of the developed device models to integrated circuit design. Prerequisite: (ENSC 220 or MSE 250), MATH 232, and MATH 310. Students who have taken ENSC 224 cannot take this course for further credit.

This course represents and introduction to analog and digital communications systems. The main topics are: a review of Fourier Transform; the representation of bandpass signals; random signals in communications, including stationarity, ergodicity, correlation, power spectra and noise; amplitude and frequency modulation; circuits and techniques for modulation and demodulation; frequency division multiplexing; baseband digital communication; time division and multiplexing; an introduction to basic digital modulation schemes such as BPSK, FSK and QPSK. Laboratory work is included in this course. Prerequisite: (ENSC 380 or MSE 280) and ENSC 280. Students who completed STAT 270 prior to Spring 2015 may use STAT 270 instead of ENSC 280.

Presents advanced topics in digital design such as advanced state machine concepts, asynchronous design, hardware description languages, bus interfacing and DSP architecture. It also covers both the architecture and programming or field programmable logic devices. Some laboratory work is expected. Prerequisite: (ENSC 215 and either ENSC 250 or CMPT 250) or (ENSC 252 and ENSC 254).

Concentrates on the problems encountered when attempting to use computers in real time (RT) and embedded applications where the computer system must discern the state of the real world and react to it within stringent response time constraints. Both design methodology and practical implementation techniques for RT systems are presented. Although some hardware will be involved, it should be noted that this course concentrates on real time software. Prerequisite: (CMPT 128 and ENSC 215 and ENSC 250) or ENSC 254 or (CMPT 225 and CMPT 250) and a minimum of 60 credit hours/units. ENSC 351 is a required course for all Engineering Science Major and Honours students (no course substitutions are permitted). Students with credit for or who are concurrently enrolled in ENSC 451/MSE 450 cannot take this course 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: ENSC 180, ENSC 220 (or MSE 250) and MATH 310. Students with credit for MSE 280 may not take ENSC 380 for further credit.

This is the first course in a group-based, two-course capstone sequence: ENSC 405W, ENSC 440. Topics include group writing processes, project documentation and engineering design, group dynamics, engineering standards, project management, dispute resolution, intellectual property, entrepreneurship, and user interface design. These groups will be maintained for the completion of the capstone project in ENSC 440. Engineering Science students cannot take MSE 401W or MSE 405W for credit. Students must take ENSC 440 in the term directly following successful completion of ENSC 405W. Grades awarded in ENSC 405W are conditional on the successful completion of ENSC 440 in the subsequent term. Prerequisite: ENSC 105W, ENSC 204, ENSC 351, a minimum of 100 units , and 2 completed co-op terms. Students who have taken (ENSC 304 and ENSC 305W) may not take ENSC 405W for 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 ENSC 100, ENSC 106, or CMPT 106, or MSE 102. Students with credit for MSE 402 may not take ENSC 406 for further credit.

This course covers the business, management and entrepreneurial concepts that are important to engineers who manage projects, run businesses, or need to decide on the most efficient method for accomplishing a task. The topics to be covered include: financial accounting, rates of return, taxes, cost-benefit analyses, marketing, financing methods, and business plans. Prerequisite: A minimum of 80 units is required to enroll in this course. Students with credit for ENSC 201, ENSC 411, or MSE 300 cannot complete this course for further credit.

This course combines the engineering economics covered in ENSC 201 with a series of guest lectures on entrepreneurship and the writing of a business plan in collaboration with students from the Beedie School of Business. Prerequisite: Students must have completed 90 units and have a GPA above 3.0. Students with credit for ENSC 201, ENSC 410 or MSE 300 cannot complete this course for further credit.

Discrete time signals and systems, sampling and quantization. The Discrete Fourier Transform and fast transforms. Digital filters, IIR and FIR, design procedures and implementations. Quantization noise in digital filters and transforms. Random signals, the response to linear systems to random signals. Introduction to adaptive systems. Introduction to system architectures for digital signal processing. Laboratory work includes familiarization with digital signal processing software packages. Prerequisite: (ENSC 327 or ENSC 328), (ENSC 380 or MSE 280), and a minimum of 80 units.

This is the second course in the group-based, two-course capstone sequence: ENSC 405W, ENSC 440. The capstone design course is based around a group project that consists of researching, designing, building and testing the hardware implementation of a working system. The course also includes material on how to design for safety and a shop training workshop. In order to obtain credit, students must successfully complete both courses. Prerequisite: ENSC 405W and at least 100 units. Students will be automatically enrolled in ENSC 440 in the term immediately following successful completion of ENSC 405W. Students with credit for ENSC 440W, ENSC 442 or MSE 411W may not take this course for further credit.

An introduction to the design of Very Large Scale Integrated (VLSI) circuits and systems (System-on-Chip, SoC) using mainly CMOS technology. SoC design techniques and applications will be covered. Basic topics will include: CMOS technology and circuit layout rules; combinational and sequential logic; logic simulation; systems design; design for verification and testability; and embedded-processor design and application. An advanced digital design flow based on the VHDL hardware description language will be introduced and exercised in the labs. Prerequisite: (ENSC 225 or ENSC 226 or MSE 251) and ENSC 350, and a minimum of 80 units.

Digital system design considerations including methodologies, specification, SoC partitioning, fault tolerance, design reuse, debugging and verification. Prerequisite: ENSC 350 and 351, a minimum of 80 units.

A continuation of MACM 101. Topics covered include graph theory, trees, inclusion-exclusion, generating functions, recurrence relations, and optimization and matching. Prerequisite: MACM 101 or (ENSC 251 and one of MATH 232 or MATH 240). Quantitative.

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.

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.

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; 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; 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.

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.

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.

A general calculus-based introduction to mechanics. Topics include translational and rotational motion, momentum, energy, gravitation, and selected topics in modern physics. Prerequisite: BC Principles of Physics 12 or PHYS 100 or equivalent, with a minimum grade of C-. This prerequisite may be waived, at the discretion of the department, as determined by the student's performance on a regularly scheduled PHYS 100 final exam. Please consult the physics advisor for further details. Corequisite: MATH 150 or 151 or 154 must precede or be taken concurrently. Students with credit for PHYS 101, 125 or 140 may not take this course for further credit. Quantitative/Breadth-Science.

A general calculus-based introduction to electricity, magnetism and optics. Topics include electricity, magnetism, simple circuits, optics and topics from applied physics. Prerequisite: PHYS 120 or 125 or 140 (or PHYS 101 with a grade of A or B). Corequisite: MATH 152 or 155 must precede or be taken concurrently. Students with credit for PHYS 102, 126 or 141 may not take this course for further credit. Quantitative/Breadth-Science.