Mechatronics

4 units
Advanced internet protocols; routing, security, encryption; quality of service; ATM, RSVP, video and voice over IP; terminals, gateways and gatekeepers; wireless networks; WDM systems; optical crossconnects.
Three lectures, one tutorial, one lab every other week; second term
Prerequisite(s): COMPENG 4DK4

Digital image formation and representation; filtering, enhancement and restoration; edge detection; discrete image transforms; encoding and compression; segmentation; recognition and interpretation; 3D imagery; applications.
Three lectures, one tutorial, one lab every other week; second term
Prerequisite(s): ELECENG 3TP4 or 3TP3; one of ELECENG 3TQ4, ELECENG 3TQ3 or STATS 3Y03

Development and analysis of simple algorithms. Implementation of algorithms in computer programming language. Design and testing of computer programs.

Advanced programming with emphasis on embedded systems. Program specifications: Pre- and post-conditions, loop and datatype invariants; use of tools to demonstrate correctness. Selecting data structures for implementation of mathematical abstractions. Finite state machines, automata and languages; lexing and parsing. Algorithm analysis (time and space). Modelling of graphs, relations, corresponding algorithms.
Three lectures, one tutorial; second term
Prerequisite(s): MECHTRON 2MP3 or SFWRENG 2MP3; and registration in a Mechatronics Engineering program
Antirequisite(s): COMPENG 2SI3, 2SI4, COMPSCI 2C03, SFWRENG 2C03, 2MD3

This course focuses on learning programming using the high-level systems programming language C, and on understanding how its features are implemented using the CPU and the memory hierarchy. Mathematical abstractions are implemented using fundamental data structures such as arrays, stacks, queues, etc., with static and dynamic memory allocation.
Three lectures, one tutorial; first term
Prerequisite(s): ENGINEER 1D04 or 1P13 or IBEHS 1P10, and registration in a Mechatronics Engineering program
Antirequisite(s): COMPENG 2SH4, COMPSCI 2S03, SFWRENG 2MP3, 2S03

Interfacing to digital and analog systems, sensors and actuators. Signals and conditioning: data acquisition, active and passive filtering, optical and analog isolation, pulse-width modulation, (de-)multiplexing. Architecture of micro-controllers and digital signal processors. Embedded system design and documentation.
Three lectures, one tutorial (two hours) every other week, one lab (three hours) every other week; second term
Prerequisite(s): ENGPHYS 2E04 or SFWRENG 2DA4; MECHTRON 2MP3 or SFWRENG 2MP3 or 2S03; SFWRENG 2GA3 or registration in Level II or above of a Mechatronics program
Antirequisite(s): MECHTRON 3TA4

Modeling of dynamic continuous physical phenomena in both continuous and discrete time. Control theory, stability analysis and feedback controller design. Application of computer control to continuous processes, system identification.

Software design process. Professional responsibility. Using specifications. Documentation. Module Specification. Module interfaces. Module internal documentation. Coding styles. Portability. Software inspection. Software testing.
Three lectures, one lab (three hours); first term
Prerequisite(s): One of COMPENG 2SI3, 2SI4, ELECENG 2SI4, MECHTRON 2MD3, SFWRENG 2MD3
Antirequisite(s): COMPSCI 2ME3, SFWRENG 2AA4, 3K04

Linear systems, signals, filters; time and frequency domains; single input-single output systems; discrete and continuous time; sampling theorem; Fourier series; Fourier, Laplace, and Z-transforms; stability.
Three lectures, one tutorial (one hour); first term
Prerequisite(s): MATH 2Z03
Antirequisite(s): ELECENG 3TP3, IBEHS 3A03, SFWRENG 3MX3

Interfacing to digital and analog systems, sensors and actuators. Signals and conditioning: data acquisition, active and passive filtering, optical and analog isolation, PWM, de/ multiplexing. Architecture of micro-controllers and DSP. Embedded system design and documentation.

Design and implementation of embedded systems interacting with analog systems. Software design and implementation for embedded systems and DSP systems. Simulation and testing of embedded systems.

Hard and soft real-time systems. Safety classification. Fail-safe design, hazard analysis. Discrete event systems. Modes. Requirements and design specifications. Tasks and scheduling. Clock synchronization. Data acquisition. Applications in real-time control.

This course introduces several concepts used in systems engineering, predictive control and artificial intelligence. A variety of techniques including prediction and estimation, linear models, basic optimization techniques, Monte Carlo techniques, neural networks, and clustering are introduced. The techniques are applied to predictive and smart systems by the example of model predictive control and intelligent control, classification and decision-making. The course is intended for engineering students with understanding in signals and systems and control.
Three lectures and one tutorial; one term
Prerequisite(s): MECHTRON 3DX4 or SFWRENG 3DX4 or IBEHS 4A03
Offered on an irregular basis.

Student teams prepare the requirements, design, documentation and implementation of a Mechatronics System taking economic, health, safety, cultural, legal and marketing factors into account. Students must demonstrate a working system and convincing test results.

Oral and written presentation skills; types and structure of technical documents; software documentation for the user; formulating and presenting proposals.

Software design process. Professional responsibility. Using specifications. Documentation. Module Specification. Module interfaces. Module internal documentation. Coding styles. Portability. Software inspection. Software testing.

Linear systems, signals, filters; time and frequency domains; single input-single output systems; discrete and continuous time; sampling theorem; Fourier series; Fourier, Laplace, and z transforms; stability.

Processes and threads, synchronization and communication; scheduling, memory management; file systems; resource protection; structure of operating systems.

Computer arithmetic and roundoff error analysis. Interpolation, integration, solving systems of linear and nonlinear equations. Eigenvalues and singular value decomposition. Numerical methods for ordinary differential equations.