Professional Degree courses in Dentistry, Education, Law, Medicine and Theology (MTS, MDiv)
Courses offered by Continuing Studies
Graduate Studies courses
* These courses are equivalent to pre-university introductory courses and may be counted for credit in the student's record, unless these courses were taken in a preliminary year. They may not be counted toward essay or breadth requirements, or used to meet modular admission requirements unless it is explicitly stated in the Senate-approved outline of the module.
1.0 course not designated as an essay course
0.5 course offered in first term
0.5 course offered in second term
0.5 course offered in first and/or second term
1.0 essay course
0.5 essay course offered in first term
0.5 essay course offered in second term
0.5 essay course offered in first and/or second term
1.0 accelerated course (8 weeks)
1.0 accelerated course (6 weeks)
0.5 graduate course offered in summer term (May - August)
0.25 course offered within a regular session
0.25 course offered in other than a regular session
1.0 accelerated course (full course offered in one term)
0.5 course offered in other than a regular session
0.5 essay course offered in other than a regular session
A course that must be successfully completed prior to registration for credit in the desired course.
A course that must be taken concurrently with (or prior to registration in) the desired course.
Courses that overlap sufficiently in course content that both cannot be taken for credit.
Many courses at Western have a significant writing component. To recognize student achievement, a number of such courses have been designated as essay courses and will be identified on the student's record (E essay full course; F/G/Z essay half-course).
A first year course that is listed by a department offering a module as a requirement for admission to the module. For admission to an Honours Specialization module or Double Major modules in an Honours Bachelor degree, at least 3.0 courses will be considered principal courses.
Basic resistive circuits, Ohm's, Kirchhoff's Laws. DC analyis: nodal and mesh analysis. Network theorems: linearity, superposition, Thévenin's and Norton's theorems. Time-domain analysis: first and second order circuits, source-free and forced response. Sinusoidal steady-state analysis: phasors, complex power. Basic OpAmp circuitry.
Electronic properties of semiconductors. The P-N junction. Diodes and light-emitting diodes; bipolar and field-effect transistors. Biasing, small signal analysis, large signal analysis. Single transistor amplifiers.
Introduction to a system level analysis of electrical circuits. The S-Plane and frequency response of circuits, frequency selective circuits, state variables, introduction to Fourier analysis, Fourier transform and Laplace transform techniques. Transfer functions and system functions.
DC circuit analysis, fundamentals of DC circuit analysis, Ohm's Law, KCL, KVL, Thévenin and Norton Equivalent circuits, maximum power transfer; linear analog circuits, diodes, transistors, operational amplifiers, biasing, gain, frequency response.
Laboratory experiments associated with ECE 2205A/B, as well as laboratory experiments in instrumentation and measurement; the lecture component includes review of laboratory practice, health and safety issues, simulation software, data collecting methods; errors and their calculus; accuracy; averaging, signal conditioning, and data interpolation.
Laboratory experiments associated with ECE 2231A/B,ECE 2233A/B and ECE 2236A/B; basic semiconductor circuit elements (diodes, LEDs and transistors); second order circuits; sensors and electro-mechanical devices; and a design project.
Introduction to electrical engineering design. Topics include the engineering design process, review of sensors and signal conditioning, digital system design, analog system design, programmable logic controllers (PLCs).
This course introduces the principles of electrical circuits and components, including common electric motors employed in mechanical systems. Laboratories to introduce the students to common measurement tools used to assess and troubleshoot circuits. These foundations are expanded upon in a subsequent course focusing on electronic components and their applications.
Theory of Boolean algebra, switching circuits, Venn diagrams; Karnaugh maps; logic and memory systems, design of combinational and sequential switching machines; electronic switching circuits; data coding, storage, transmission; basic design of digital computers.
The concept of feedbacks; modelling of dynamic systems; characteristics of feedback control systems, performance of control systems in time and frequency domains; stability of feedback systems; control system analysis and design. Using root locus and frequency response techniques.
Introduction to discrete-time signals and sampled data, linear time-invariant (LTI) systems, frequency response, discrete Fourier transforms, convolution, spectrum analysis, Z-transforms, non-recursive digital filters.
Per unit System; three phase transmission systems; three phase transformers; transmission line parameters; steady state operation of transmission lines; maximum power flow; reactive power compensation; economic operation of power systems.
Radio-frequency transmission lines, telegrapher's equations, Smith chart. A vector treatment of the theory of electric and magnetic fields. Integral and differential forms of Maxwell's equations. Boundary conditions. Scalar and vector potentials, reflection and transmission of electromagnetic waves in dielectric and conducting media.
Frequency response in electronic circuits, zener diode and power supply (voltage regulator) circuits, power amplifiers, differential amplifiers, feedback circuits, miscellaneous topics (Miller effect, current mirrors, cascade and cascode circuits, etc.)
This course covers fundamentals of semiconductor physics as applied to microelectronics, theory of semiconductor materials and devices. Students will be exposed to basic elements of CMOS circuitry design, including practical implementation of resistors, capacitors, diodes, transistors and MOSFET. Related topics such as delays, cross-talk, parasitics, temperature effects are included.
This course deals with fundamental principles of wireless RF communications, AM, FM, and PM modulation, demodulation and spectra, and frequency shifting and mixing. Practical linear and nonlinear circuits for a heterodyne radio receiver are studied, including RF/IF amplifiers, matching networks, oscillators, mixers, modulators, demodulators, and phased-locked loops.
This course deals with the study of electrical, electronic, and electromechanical devices and systems, including the theory of operation, and analysis of behaviour through modelling of components and systems.
Basic elements of computers: central processing unit; memories; input/output devices; interfacing, software and hardware design, Computer Assisted Design; data handling and process control equipment; applications of microprocessors.
Introduction to computer system design and the architecture of modern high-performance computers. Memory hierarchy. RISC, superscalar, and multi-core architectures. Microprogrammed and hardwired control implementations. Students will complete group design projects integrating these concepts.
Antirequisite(s): The former ECE 4470A/B, the former ECE 4489A/B.
Modern design techniques for embedded, wireless, and mobile computing systems. Unified approach to hardware and software design. Partitioning of systems into hardware and software. Hardware/software interface design. Trade-offs in hardware and software partitioning.
Principles and Practices of Design of Electronic Systems is a third year design course in the Electrical Engineering Program. Topics include principles and practices of design of electronic systems through projects in the area of communications, microprocessors, control systems and signal processing.
Selection and investigation of an engineering problem. Analytical and/or experimental work is carried out by individual students or project groups under the supervision of a faculty member. Progress reports and a final engineering report are prepared; each student must deliver a public lecture.
Digital Signal Processing (DSP) is widely used in speech and audio processing, biomedical engineering, and telecommunication applications. The objectives of this course are to strengthen the students' knowledge of DSP fundamentals, to introduce them to advanced DSP topics, and to familiarize them with the practical aspects of DSP algorithm implementation.
Transceiver design for digital communication systems, design goals and tradeoffs. Deterministic and random signals. Digital modulation techniques, optimal receiver design, performance analysis under noisy conditions. Digital communication through bandlimited channels. Characteristics of wireless channel, intersymbol interference, channel estimation, adaptive equalization. Synchronization techniques. Multiple access techniques, CDMA, TDMA, FDMA. Principles of OFDM, cyclic prefix, in-band pilots, PAPR, applications of OFDM.
Introduction to networking, network architecture and protocols, layering, OSI and TCP/IP models. Physical layer: transmission media, data encoding, Asynchronous and synchronous transmission. Data link layer: error detection, flow control, error control. Packet Switching: datagrams, virtual circuits, routing, congestion control, internetworking. Local area networks, network layer and transport layer.
Introduction to communication systems and information theory. Classification of signals and systems. Communication channel modeling. Fourier series and transform applications. Modulation techniques. Sampling theory and digital transmission. Digital modulation, optimum receiver design, performance analysis. Error control. Selected topics.
This course explores a few major areas of digital image processing at an advanced level, with primary emphasis on medical applications. Topics covered include image filtering and enhancement, visualization, image segmentation and image registration. Examples will be presented to give the students exposure to real-world applications in medicine and other applications.
Global energy resources, distribution and consumption. Sustainability. Principles of operation and control of thermal, nuclear, thermal and hydroelectric, photovoltaic solar and wind power plants. Distributed Generation (DG) and renewable energy technologies. Grid integration of distributed generation.
This course covers the fundamentals of digital image processing, including image representation, histograms, contrast enhancement, geometric operations, registration, digital filtering and segmentation. Emphasis is placed on implementation of algorithms and on practical applications in industry, science and medicine.
The objective is to examine in-depth the practice of analog and digital communications. Fundamentals of wireless communication electronics are considered. A number of existing systems, including 2G/3G wireless systems, satellite communication systems, radio and TV broadcasting, and others are reviewed. Design aspects of wireless communications systems.
An introduction to biomedical engineering organized around applications of linear and control systems analysis to the dynamics of physiological systems and their responses to diagnostic and therapeutic interventions. Emphasis will be placed on respiratory, cardiovascular, and neuromuscular physiology and interactions of those systems with medical devices.
The use of power semiconductor devices in converter structures (topologies) to process and control the flow of electric energy. The aim of the course is to familiarize students with various power electronic converter topologies and their applications.
Power flow studies; symmetrical faults; symmetrical components; unsymmetrical faults; power system stability; Introduction to High Voltage DC (HVDC) Transmission and Flexible AC Transmission Systems (FACTS).
Engineering problems as optimization problems. Single-variable optimization. Multi-variable unconstrained optimization. Advanced techniques for unconstrained optimization. Equality and inequality constraints and optimality criteria. Techniques for constrained optimization. Linear programming.
The course covers analytical methods for analyzing and developing control strategies for industrial processes. These include identification and empirical modeling, tuning of PID controller, digital control systems, z-transformation. PLCs are discussed. Computer based simulation modules using Matlab^® and Simulink^® reused. Examples from different engineering disciplines are studied.
Prerequisite(s):ECE 3331A/B,ECE 3330A/B as well as successful completion of the third year of the Engineering program
Extra Information: 3 lecture hours, 1.5 laboratory hour.