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English language proficiency requirements Students registering in post-secondary level courses (numbered 100 to 499) will be required to meet the requirements. Students in ELS or the University Foundations programs can register in those courses identified in the with lower levels of language proficiency. |
1 credit
Prerequisite(s): Enrolled in the Engineering Physics diploma in Mechatronics program.
This course gives students rudimentary hands-on experience in several industrial practices associated with welding, electrical systems, construction, and automotive work.
4 credits
Prerequisite(s): MATH 111 and PHYS 111.
This course emphasizes solution techniques and proper documentation for problems involving practical applications of Newton's laws to engineering situations.
1 credit
Pre- or corequisite(s): PHYS 111
This course exposes students to a wide range of engineering practices, with a view to helping them identify their specific interests. The course meets once a week for between one and four hours. Some weeks there will be an engineer on campus to give a presentation of their work. Other weeks the students will visit a site where engineering skills are being applied.
4 credits
(formerly PHYS 151)
Prerequisite(s): Familiarity with Windows-based systems
Pre- or corequisite(s): PHYS 111
This course covers technical sketching, orthographic projection, visualization in three dimensions and conventions of engineering drawing. Computer-based graphics (CADD) will be introduced. The principles of descriptive geometry will be applied to the solution of space problems. This course is designed for students intending to transfer to Engineering at UBC or UVIC and emphasizes engineering practices.
4 credits
Pre- or corequisite(s): MATH 112
Intended for engineering students, this course covers basic problems and concepts in Euclidean space, such as matrix algebra, solutions to linear systems of equations, determinants, and eigenvalue problems. Emphasis throughout the course is placed on applications in science and engineering.
Note: This course is offered as MATH 152 and ENGR 152. Students may take only one of these for credit.
3 credits
Prerequisite(s): PHYS 112
Pre- or corequisite(s): PHYS 381
This course is an introduction to circuit analysis, a mathematical model used to represent a variety of engineering problems such as electric circuits. In particular, students will learn about phasor analysis and AC power; transfer functions; Bode plots; filters and resonance; transformers, and two-port networks.
3 credits
Prerequisite(s): MATH 112 or at least a B in Math 118
Pre- or corequisite(s): MATH 211 and one of the following: MATH 152, MATH 221, or PHYS 221.
This course provides theory and techniques needed to solve ordinary differential equations, with an emphasis on applications. Topics include first- and second-order linear differential equations, nonlinear equations, series solutions, Laplace transform methods, and linear systems of differential equations.
Note: This course is offered as MATH 255 and ENGR 255. Students may take only one of these for credit.
3 credits
Prerequisite(s): MATH 211 and (one of the following: PHYS 221 or MATH 255) and (one of the following: PHYS 112 or any other MATH course 200-level or above).
Partial and ordinary differential equations. Fourier series/transforms. Legendre polynomials. Laplace transforms. Applications to heat flow and waves. Laplace's equation in 1D, 2D, 3D using Cartesian, polar, and spherical co-ordinates. Special functions including Dirac Delta, Heaviside Theta, Si, Ci, Ei, Erf, Gamma.
Note: This course is offered as PHYS 381, MATH 381, and ENGR 257. Students may take only one of these for credit.
4 credits
Prerequisite(s): ENGR 210
This course is an introductory course on automatic control. The main goal of the course is to provide students with basic tools in modeling, analysis, and design for linear feedback control systems. Students will learn how to model mechanical, electrical, and electromechanical systems as differential equations and transfer functions. The analyses in this course include stability of open-loop and closed-loop systems as well as time responses and frequency responses of low order systems. The design methods are divided into root-locus techniques and frequency response techniques using Bode plots for designing proportional-integral-derivative (PID) and lead/lag controllers. Students will also learn how to apply automatic control theory to real engineering problems with Matlab and through laboratory exercises. This course will give the basic knowledge for more advanced control courses, such as state-space control techniques, nonlinear control, robust control, optimal control, adaptive control, digital control, sampled-data control, hybrid control, and system identification.
4 credits
Prerequisite(s): ENPH 320, ENPH 310, COMP 150, or COMP 152
This course covers basic microcomputer architecture; design and analysis of address decoders and memory systems; design and analysis of assembly language programs; and microcomputer system design.
4 credits
Prerequisite(s): ENGR 330
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.
3 credits
Prerequisite(s): ENPH 320, ENGR 330, PHYS 392 or ENPH 360
This is the capstone course of the Engineering Physics diploma in Mechatronics. Students will apply the knowledge gained in prior courses to specific projects. Typically, students will complete several projects. Students will function as if they are in the industry, with many interim reports given to the instructor as projects progress. Students will deliver oral presentations on their projects to the class, and will be graded on the quality of their presentation as well as the quality of their project and their written report.
The students will assemble the robots and program them using feedback control strategies to make them fulfill tasks such as obstacle avoidance, trajectory planning, and material pick up
Last extracted: November 07, 2017 03:02:03 PM