2019-2020 Computer Eng. Technical Complementaries

Computer Science (Sci): Introduction to search methods. Knowledge representation using logic and probability. Planning and decision making under uncertainty. Introduction to machine learning.

Offered by: Computer Science

• 3 hours
• Prerequisites: (COMP 206 or ECSE 321), MATH 323 or equivalent and COMP 251.
• Restriction: Not open to students who have taken or are taking ECSE 526.

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Single-stage integrated-circuit amplifiers; differential and multistage amplifiers, integrated-circuit biasing techniques; non-ideal characteristics, frequency response; feedback amplifiers, output stages; digital CMOS logic circuits. Lab work on designing, building, and debugging electronic hardware using discrete transistors and circuit building blocks

Offered by: Electrical & Computer Engr

• Prerequisite(s) ECSE 331
• Restrion(s): Not open to students who have taken ECSE 334
• (3-4-5)

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Discrete-time signals and systems; Fourier and Z-transform analysis techniques, the discrete Fourier transform; elements of FIR and IIR filter design, filter structures; FFT techniques for high speed convolution; quantization effects.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisite(s): ECSE 206 or ECSE 304 or ECSE 306.
• Tutorials assigned by instructor.

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Architecture and protocols of contemporary networks; wired and wireless access systems; flow and congestion control; network optimization; randomized multiple access protocols; queueing disciplines; low-power wireless networks. Examples: Ethernet, TCP/IP, 802.11, 802.15.4. Lab experiments addressing routing protocols, TCP, queuing disciplines and quality-of-service, and network security.

Offered by: Electrical & Computer Engr

• Prerequisite(s): (ECSE 250 or COMP 250), ECSE 205, and (ECSE 308 or ECSE 316)
• Restriction(s): Not open to students who have taken ECSE 414 or ECSE 489.
• (3-4-5)

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Modern parallel computing architectures for shared memory, message passing and data parallel programming models. The design of cache coherent shared memory multiprocessors. Programming techniques for multithreaded, message passing and distributed systems. Use of modern programming languages and parallel programming libraries.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisite: ECSE 427

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Definition, structure and properties of embedded systems. Real-time programming: interrupts, latency, context, re-entrancy, thread and process models. Microcontroller and DSP architectures, I/O systems, timing and event management. Real-time kernels and services. Techniques for development, debugging and verification. Techniques for limited resource environments. Networking for distributed systems.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Prerequisites: ECSE 324

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Introduction to fault-tolerant systems. Fault-tolerance techniques through hardware, software, information and time redundancy. Failure classification, failure semantics, failure masking. Exception handling: detection, recovery, masking and propagation, termination vs. resumption. Reliable storage, reliable communication. Process groups, synchronous and asynchronous group membership and broadcast services. Automatic redundancy management. Case studies.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Prerequisites: ECSE 324 and (ECSE 250 or COMP 250)

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: The course highlights human-computer interaction strategies from an engineering perspective. Topics include user interfaces, novel paradigms in human-computer interaction, affordances, ecological interface design, ubiquitous computing and computer-supported cooperative work. Attention will be paid to issues of safety, usability, and performance.

Offered by: Electrical & Computer Engr

• (3-4-2)
• Prerequisites: (ECSE 324 and ECSE 250) or (ECSE 324 and COMP 250) or (COMP 251 and COMP 273)

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Software engineering practice in industry, related to the design and commissioning of large software systems. Ethical, social, economic, safety and legal issues. Metrics, project management, costing, marketing, control, standards, CASE tools and bugs. The course involves a large team project.

Offered by: Electrical & Computer Engr

• (3-1-5)
• Students meet with the instructor and/or teaching assistant for one hour each week to discuss their project.
• Prerequisite: ECSE 321

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Correct and complete implementation of software requirements. Verification and validation lifecycle. Requirements analysis, model based analysis, and design analysis. Unit and system testing, performance, risk management, software reuse. Ubiquitous computing.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisite: ECSE 321 or COMP 303

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Practical and theoretical knowledge for developing software languages and models; foundations for model-based software development; topics include principles of model-driven engineering; concern-driven development; intentional, structural, and behavioral models as well as configuration models; constraints; language engineering; domain-specific languages; metamodeling; model transformations; models of computation; model analyses; and modeling tools.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: ECSE 321 or COMP 303.
• Restricted to Software Engineering students.

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Modelling and simulation of control systems, review of LTI systems, time response of first and second order systems, state space modeling, controllability, state feedback and pole placement, observability, observer design, and output feedback, block diagrams and their simplification, Routh-Hurwitz stability criterion, system type and steady state errors, Bode plots, Nyquist plots, Nyquist stability criterion, gain and phase margins, lead-lag compensators. Lab work involving step response, frequency response, system identification, state feedback, output feedback, and lead-lag compensators.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 206 and ECSE 210
• (3-4-5)

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Stability of linear and non-linear systems, controllability, state space models, canonical forms, state space design of controllers, pole placement, LQR, observability, Luenberger observer, separation principle and certainty equivalence, loop transfer recovery, correspondence between system theoretic results for continuous- and discrete-time systems. Lab work involving applications of PID, lead-lag, full state feedback and LQR controllers to robotic devices.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 307
• (3-4-5)

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Communication system models; AM and FM modulation, performance of AM and FM systems in noise; sampling, FDM and TDM multiplexing systems; baseband and pass-band digital transmission over noisy band-limited channels, digital modulation and detection techniques and their quantitative performance; concepts of entropy and channel capacity, selected data compression and error-control coding techniques. Illustrative examples taken from subscriber loop telephone systems, evolution of internet modems and wireless cellular phone standards. Lab work involving measurement of the performance of AM and FM systems with noise, digital modulation techniques and spectra, experiments with basic error control coding systems.

Offered by: Electrical & Computer Engr

• Prerequisite(s): ECSE 205 and ECSE 308
• Restriction(s): Not open to students who have taken ECSE 411.
• (3-4-5)

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: An introduction to the automated processing, analysis, and understanding of image data. Topics include image formation and acquisition, design of image features, image segmentation, stereo and motion correspondence matching techniques, feature clustering, regression and classification for object recognition, industrial and consumer applications, and computer vision software tools.

Offered by: Electrical & Computer Engr

• Prerequisite(s):(ECSE 206 or ECSE 316) and ECSE 205.
• (3-1-5)

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Purpose and economics of mixed-signal test, DC measurements. Accuracy and repeatability. DSP-based theory and its applications to parametric testing of analog filters, DACs, and ADC. Timing and PLL measurements. Design for Testability.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: ECSE 206 or ECSE 304 and ECSE 334 or ECSE 335
• Note: This course may be counted as a technical complementary or as a lab complementary.

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Introduction to mathematical models of light transport and the numerical techniques used to generate realistic images in computer graphics. Offline (i.e., raytracing) and interactive (i.e., shader-based) techniques.

Offered by: Electrical & Computer Engr

• (3-2-4)
• Prerequisites: (ECSE 205 and ECSE 250) or (ECSE 202, ECSE 205, and COMP 250)
• Restrictions: Not open to students who have taken or are taking ECSE 546.

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Principles of circuit simulation. Formulation of network equations. Frequency domain analysis. Nonlinear networks. Transient analysis. Sensitivity analysis. Harmonic balance. Shooting method. Model order reduction. Macromodelling.

Offered by: Electrical & Computer Engr

• (3-0-6).
• Restriction(s): Not open to students who are taking or have taken ECSE 597.
• Prerequisites: ECSE 206 and ECSE 331

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Electrical Engineering: Fundamental mathematical, algorithmic and representational issues in computer graphics: overview of graphics pipeline, homogeneous coordinates, projective transformations, line-drawing and rasterization, hidden surface removal, surface modelling (quadrics, bicubics, meshes), rendering (lighting, reflectance models, ray tracing, texture mapping), compositing colour perception, and other selected topics.

Offered by: Electrical & Computer Engr

• (3-0-9)
• Prerequisite: ECSE 324

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Computer Science (Sci): Selected topics in machine learning and data mining, including clustering, neural networks, support vector machines, decision trees. Methods include feature selection and dimensionality reduction, error estimation and empirical validation, algorithm design and parallelization, and handling of large data sets. Emphasis on good methods and practices for deployment of real systems.

Offered by: Computer Science

• Prerequisite(s): MATH 323 or ECSE 205, COMP 202, MATH 133, MATH 222 (or their equivalents).
• Restriction(s): Not open to students who have taken or are taking COMP 451, ECSE 551, or PSYC 560.
• Some background in Artificial Intelligence is recommended, e.g. COMP-424 or ECSE-526, but not required.

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year

Computer Science (Sci): Fundamental mathematical and computational issues in computer animation with a focus on physics based simulation: overview of numerical integration methods, accuracy and absolute stability, stiff systems and constraints, rigid body motion, collision detection and response, friction, deformation, stable fluid simulation, use of motion capture, and other selected topics.

Offered by: Computer Science

• Prerequisite(s): MATH 222, MATH 223, COMP 206, COMP 250

• Terms
  • This course is not scheduled for the 2024 academic year
• Instructors
  • There are no professors associated with this course for the 2024 academic year